default search action
Santiago Segarra
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j50]Lisa O'Bryan, Tim Oxendahl, Xu Chen, Daniel McDuff, Santiago Segarra, Matthew A. Wettergreen, Margaret E. Beier, Ashutosh Sabharwal:
Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual Teams. Hum. Factors 66(5): 1414-1430 (2024) - [j49]Gunnar E. Carlsson, Santiago Segarra:
Data science for graphs. J. Appl. Comput. Topol. 8(5): 1099-1100 (2024) - [j48]Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. 8(5): 1363-1415 (2024) - [j47]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. 39(1): 3-4 (2024) - [j46]Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra:
Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. 72: 2710-2725 (2024) - [j45]Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. IEEE Trans. Wirel. Commun. 23(5): 4889-4903 (2024) - [j44]Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra:
Learning to Transmit With Provable Guarantees in Wireless Federated Learning. IEEE Trans. Wirel. Commun. 23(7): 7439-7455 (2024) - [c106]Martin Sevilla, Antonio G. Marques, Santiago Segarra:
Estimation of partially known Gaussian graphical models with score-based structural priors. AISTATS 2024: 1558-1566 - [c105]T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. AISTATS 2024: 2422-2430 - [c104]Carlos A. Taveras, Santiago Segarra, César A. Uribe:
Efficient Path Planning with Soft Homology Constraints. CCTA 2024: 657-662 - [c103]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. ICASSP 2024: 7350-7354 - [c102]Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra:
Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks. ICASSP 2024: 8951-8955 - [c101]Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira:
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP 2024: 9701-9705 - [c100]Martin Sevilla, Santiago Segarra:
Bayesian Topology Inference on Partially Known Networks from Input-Output Pairs. ICASSP 2024: 9721-9725 - [c99]Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP 2024: 9931-9935 - [c98]Nicolas Zilberstein, Ananthram Swami, Santiago Segarra:
Joint Channel Estimation and Data Detection in Massive Mimo Systems Based on Diffusion Models. ICASSP 2024: 13291-13295 - [c97]Madeline Navarro, Santiago Segarra:
SC-MAD: Mixtures of Higher-Order Networks for Data Augmentation. ICASSP 2024: 13446-13450 - [c96]Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula:
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. NSDI 2024 - [c95]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula:
Finding Adversarial Inputs for Heuristics using Multi-level Optimization. NSDI 2024 - [c94]Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj:
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. NSDI 2024 - [c93]Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra:
GraSSRep: Graph-Based Self-supervised Learning for Repeat Detection in Metagenomic Assembly. RECOMB 2024: 372-376 - [i99]Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learning Non-myopic Power Allocation in Constrained Scenarios. CoRR abs/2401.10297 (2024) - [i98]Martin Sevilla, Antonio Garcia Marques, Santiago Segarra:
Estimation of partially known Gaussian graphical models with score-based structural priors. CoRR abs/2401.14340 (2024) - [i97]Ali Azizpour, Advait Balaji, Todd J. Treangen, Santiago Segarra:
GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly. CoRR abs/2402.09381 (2024) - [i96]Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra:
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR abs/2406.09513 (2024) - [i95]Nicolas Zilberstein, Morteza Mardani, Santiago Segarra:
Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR abs/2406.16683 (2024) - [i94]Carlos A. Taveras, Santiago Segarra, César A. Uribe:
Efficient Path Planning with Soft Homology Constraints. CoRR abs/2406.19551 (2024) - [i93]Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Biased Backpressure Routing Using Link Features and Graph Neural Networks. CoRR abs/2407.09753 (2024) - [i92]Boning Li, Gunjan Verma, Timofey Efimov, Abhishek Kumar, Santiago Segarra:
GLANCE: Graph-based Learnable Digital Twin for Communication Networks. CoRR abs/2408.09040 (2024) - [i91]Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. CoRR abs/2408.12702 (2024) - [i90]Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi:
Fair CoVariance Neural Networks. CoRR abs/2409.08558 (2024) - [i89]Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques:
Redesigning graph filter-based GNNs to relax the homophily assumption. CoRR abs/2409.08676 (2024) - [i88]Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques:
Online Network Inference from Graph-Stationary Signals with Hidden Nodes. CoRR abs/2409.08760 (2024) - 2023
- [j43]Lechuan Li, Ruth Dannenfelser, Yu Zhu, Nathaniel Hejduk, Santiago Segarra, Vicky Yao:
Joint embedding of biological networks for cross-species functional alignment. Bioinform. 39(9) (2023) - [j42]Yu Zhu, Santiago Segarra:
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. Frontiers Big Data 6 (2023) - [j41]T. Mitchell Roddenberry, Santiago Segarra:
Limits of Dense Simplicial Complexes. J. Mach. Learn. Res. 24: 225:1-225:42 (2023) - [j40]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digit. Scholarsh. Humanit. 38(4): 1494-1507 (2023) - [j39]Yu Zhu, Ananthram Swami, Santiago Segarra:
Free Energy Node Embedding via Generalized Skip-Gram With Negative Sampling. IEEE Trans. Knowl. Data Eng. 35(8): 8024-8036 (2023) - [j38]Samuel Rey, T. Mitchell Roddenberry, Santiago Segarra, Antonio G. Marques:
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs. IEEE Trans. Signal Process. 71: 3014-3027 (2023) - [j37]Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra:
Unsupervised Learning of Sampling Distributions for Particle Filters. IEEE Trans. Signal Process. 71: 3852-3866 (2023) - [j36]Boning Li, Gunjan Verma, Santiago Segarra:
Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. IEEE Trans. Wirel. Commun. 22(2): 1359-1373 (2023) - [j35]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Annealed Langevin Dynamics for Massive MIMO Detection. IEEE Trans. Wirel. Commun. 22(6): 3762-3776 (2023) - [j34]Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Link Scheduling Using Graph Neural Networks. IEEE Trans. Wirel. Commun. 22(6): 3997-4012 (2023) - [c92]Qing An, Mehdi Zafari, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, Rahman Doost-Mohammady:
ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO. ACSSC 2023: 157-161 - [c91]Arindam Chowdhury, Santiago Paternain, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learning Non-myopic Power Allocation in Constrained Scenarios. ACSSC 2023: 804-808 - [c90]Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra:
State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC 2023: 1372-1376 - [c89]Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Enhanced Backpressure Routing Using Wireless Link Features. CAMSAP 2023: 271-275 - [c88]Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. HotNets 2023: 196-204 - [c87]Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula:
Securing Public Clouds using Dynamic Communication Graphs. HotNets 2023: 272-279 - [c86]Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra:
Graph Representation Learning For Stroke Recurrence Prediction. ICASSP 2023: 1-5 - [c85]Madeline Navarro, Santiago Segarra:
Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering. ICASSP 2023: 1-5 - [c84]T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Signal Processing On Product Spaces. ICASSP 2023: 1-5 - [c83]T. Mitchell Roddenberry, Santiago Segarra:
Windowed Fourier Analysis for Signal Processing on Graph Bundles. ICASSP 2023: 1-5 - [c82]Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Delay-Aware Backpressure Routing Using Graph Neural Networks. ICASSP 2023: 1-5 - [c81]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Accelerated Massive MIMO Detector Based on Annealed Underdamped Langevin Dynamics. ICASSP 2023: 1-5 - [c80]Zhongyuan Zhao, Ananthram Swami, Santiago Segarra:
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems. ICLR 2023 - [c79]Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learnable Digital Twin for Efficient Wireless Network Evaluation. MILCOM 2023: 661-666 - [i87]Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas:
Conversational Turn-taking as a Stochastic Process on Networks. CoRR abs/2301.04030 (2023) - [i86]Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady:
A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks. CoRR abs/2303.00958 (2023) - [i85]Arindam Chowdhury, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. CoRR abs/2304.00446 (2023) - [i84]Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra:
Learning to Transmit with Provable Guarantees in Wireless Federated Learning. CoRR abs/2304.09329 (2023) - [i83]Yu Zhu, Boning Li, Santiago Segarra:
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. CoRR abs/2305.00462 (2023) - [i82]Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Learnable Digital Twin for Efficient Wireless Network Evaluation. CoRR abs/2306.06574 (2023) - [i81]Boning Li, Gojko Cutura, Ananthram Swami, Santiago Segarra:
Deep Demixing: Reconstructing the Evolution of Network Epidemics. CoRR abs/2306.07938 (2023) - [i80]Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. CoRR abs/2308.06261 (2023) - [i79]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. CoRR abs/2309.07110 (2023) - [i78]Madeline Navarro, Santiago Segarra:
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation. CoRR abs/2309.07453 (2023) - [i77]Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Recovering Missing Node Features with Local Structure-based Embeddings. CoRR abs/2309.09068 (2023) - [i76]Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Enhanced Backpressure Routing Using Wireless Link Features. CoRR abs/2310.04364 (2023) - [i75]Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj:
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. CoRR abs/2310.09699 (2023) - [i74]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula:
Finding Adversarial Inputs for Heuristics using Multi-level Optimization. CoRR abs/2311.12779 (2023) - [i73]Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra:
Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks. CoRR abs/2312.02471 (2023) - 2022
- [j33]Yu Zhu, Santiago Segarra:
Hypergraph cuts with edge-dependent vertex weights. Appl. Netw. Sci. 7(1): 45 (2022) - [j32]Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra:
Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. 23: 76:1-76:35 (2022) - [j31]Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan:
How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. 37(2): 321-335 (2022) - [j30]Madeline Navarro, Santiago Segarra:
Joint Network Topology Inference Via a Shared Graphon Model. IEEE Trans. Signal Process. 70: 5549-5563 (2022) - [j29]T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra:
On Local Distributions in Graph Signal Processing. IEEE Trans. Signal Process. 70: 5564-5577 (2022) - [j28]Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques:
Untrained Graph Neural Networks for Denoising. IEEE Trans. Signal Process. 70: 5708-5723 (2022) - [c78]Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques:
Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF 2022: 53-57 - [c77]Yu Zhu, Boning Li, Santiago Segarra:
Hypergraph 1-Spectral Clustering with General Submodular Weights. IEEECONF 2022: 935-939 - [c76]Lisa O'Bryan, Santiago Segarra, Jensine Paoletti, Stephanie Zajac, Margaret E. Beier, Ashutosh Sabharwal, Matthew A. Wettergreen, Eduardo Salas:
Conversational Turn-taking as a Stochastic Process on Networks. IEEECONF 2022: 1243-1247 - [c75]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Robust MIMO Detection using Hypernetworks with Learned Regularizers. EUSIPCO 2022: 1626-1630 - [c74]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. EUSIPCO 2022: 1651-1655 - [c73]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Srikanth Kandula:
Minding the gap between fast heuristics and their optimal counterparts. HotNets 2022: 138-144 - [c72]Boning Li, Ananthram Swami, Santiago Segarra:
Power Allocation for Wireless Federated Learning Using Graph Neural Networks. ICASSP 2022: 5243-5247 - [c71]Arindam Chowdhury, Fernando Gama, Santiago Segarra:
Stability Analysis of Unfolded WMMSE for Power Allocation. ICASSP 2022: 5298-5302 - [c70]Zhongyuan Zhao, Ananthram Swami, Santiago Segarra:
Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. ICASSP 2022: 5308-5312 - [c69]Madeline Navarro, Santiago Segarra:
Graphon-Aided Joint Estimation of Multiple Graphs. ICASSP 2022: 5458-5462 - [c68]Artun Bayer, Arindam Chowdhury, Santiago Segarra:
Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels. ICASSP 2022: 5483-5487 - [c67]Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra:
Unrolling Particles: Unsupervised Learning of Sampling Distributions. ICASSP 2022: 5498-5502 - [c66]Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP 2022: 5817-5821 - [c65]T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. ICASSP 2022: 5922-5926 - [c64]Yu Zhu, Boning Li, Santiago Segarra:
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. ICASSP 2022: 8837-8841 - [c63]Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Delay-Oriented Distributed Scheduling Using Graph Neural Networks. ICASSP 2022: 8902-8906 - [c62]Benjamin Coleman, Santiago Segarra, Alexander J. Smola, Anshumali Shrivastava:
Graph Reordering for Cache-Efficient Near Neighbor Search. NeurIPS 2022 - [i72]Yu Zhu, Santiago Segarra:
Hypergraph Cuts with Edge-Dependent Vertex Weights. CoRR abs/2201.06084 (2022) - [i71]Boning Li, Gunjan Verma, Santiago Segarra:
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks. CoRR abs/2201.11799 (2022) - [i70]Madeline Navarro, Santiago Segarra:
Graphon-aided Joint Estimation of Multiple Graphs. CoRR abs/2202.05686 (2022) - [i69]T. Mitchell Roddenberry, Fernando Gama, Richard G. Baraniuk, Santiago Segarra:
On Local Distributions in Graph Signal Processing. CoRR abs/2202.10649 (2022) - [i68]Zhongyuan Zhao, Ananthram Swami, Santiago Segarra:
Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. CoRR abs/2203.14339 (2022) - [i67]Yu Zhu, Santiago Segarra:
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering. CoRR abs/2208.07457 (2022) - [i66]Madeline Navarro, Santiago Segarra:
Joint Network Topology Inference via a Shared Graphon Model. CoRR abs/2209.08223 (2022) - [i65]Madeline Navarro, Santiago Segarra:
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering. CoRR abs/2210.15721 (2022) - [i64]Negar Erfanian, Santiago Segarra, Maarten V. de Hoop:
Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. CoRR abs/2211.02922 (2022) - [i63]Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra:
Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR abs/2211.08854 (2022) - [i62]Zhongyuan Zhao, Bojan Radojicic, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Delay-aware Backpressure Routing Using Graph Neural Networks. CoRR abs/2211.10748 (2022) - [i61]Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques:
Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR abs/2212.01816 (2022) - 2021
- [j27]Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra:
Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. SIAM J. Appl. Algebra Geom. 5(4): 675-700 (2021) - [j26]Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra:
Signal processing on higher-order networks: Livin' on the edge... and beyond. Signal Process. 187: 108149 (2021) - [j25]David Ramírez, Antonio G. Marques, Santiago Segarra:
Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs. Signal Process. 188: 108180 (2021) - [j24]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Eigenvector Centrality Rankings. IEEE Trans. Signal Process. 69: 3935-3946 (2021) - [j23]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation. IEEE Trans. Wirel. Commun. 20(9): 6004-6017 (2021) - [c61]Yu Zhu, Ananthram Swami, Santiago Segarra:
Node Embedding based on the Free Energy Distance. ACSCC 2021: 187-191 - [c60]Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra:
Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. ACSCC 2021: 732-736 - [c59]Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques:
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. ACSCC 2021: 1573-1578 - [c58]Yu Zhu, Boning Li, Santiago Segarra:
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. EUSIPCO 2021: 1416-1420 - [c57]Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra:
Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. EUSIPCO 2021: 2204-2208 - [c56]Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Distributed Scheduling Using Graph Neural Networks. ICASSP 2021: 4720-4724 - [c55]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. ICASSP 2021: 4725-4729 - [c54]Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Adaptive Contention Window Design Using Deep Q-Learning. ICASSP 2021: 4950-4954 - [c53]T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra:
Network Topology Inference with Graphon Spectral Penalties. ICASSP 2021: 5390-5394 - [c52]Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra:
Network Topology Change-Point Detection from Graph Signals with Prior Spectral Signatures. ICASSP 2021: 5395-5399 - [c51]T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. ICML 2021: 9020-9029 - [c50]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
ML-aided power allocation for Tactical MIMO. MILCOM 2021: 273-278 - [i60]Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra:
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond. CoRR abs/2101.05510 (2021) - [i59]Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. CoRR abs/2102.10058 (2021) - [i58]Yu Zhu, Boning Li, Santiago Segarra:
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. CoRR abs/2102.10169 (2021) - [i57]Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR abs/2102.10424 (2021) - [i56]Benjamin Coleman, Santiago Segarra, Anshumali Shrivastava, Alex Smola:
Graph Reordering for Cache-Efficient Near Neighbor Search. CoRR abs/2104.03221 (2021) - [i55]Yu Zhu, Ananthram Swami, Santiago Segarra:
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling. CoRR abs/2105.09182 (2021) - [i54]T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. CoRR abs/2105.13251 (2021) - [i53]Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
Signal processing on simplicial complexes. CoRR abs/2106.07471 (2021) - [i52]Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra:
Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. CoRR abs/2108.07247 (2021) - [i51]Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Link Scheduling using Graph Neural Networks. CoRR abs/2109.05536 (2021) - [i50]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
ML-aided power allocation for Tactical MIMO. CoRR abs/2109.06992 (2021) - [i49]T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes. CoRR abs/2109.08728 (2021) - [i48]Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques:
Untrained Graph Neural Networks for Denoising. CoRR abs/2109.11700 (2021) - [i47]Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques:
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters. CoRR abs/2110.00844 (2021) - [i46]Fernando Gama, Nicolas Zilberstein, Richard G. Baraniuk, Santiago Segarra:
Unrolling Particles: Unsupervised Learning of Sampling Distributions. CoRR abs/2110.02915 (2021) - [i45]Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR abs/2110.03666 (2021) - [i44]Artun Bayer, Arindam Chowdhury, Santiago Segarra:
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels. CoRR abs/2110.03763 (2021) - [i43]Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Robust MIMO Detection using Hypernetworks with Learned Regularizers. CoRR abs/2110.07053 (2021) - [i42]Arindam Chowdhury, Fernando Gama, Santiago Segarra:
Stability Analysis of Unfolded WMMSE for Power Allocation. CoRR abs/2110.07471 (2021) - [i41]Boning Li, Ananthram Swami, Santiago Segarra:
Power Allocation for Wireless Federated Learning using Graph Neural Networks. CoRR abs/2111.07480 (2021) - 2020
- [j22]Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j21]Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis:
Blind Identification of Stochastic Block Models from Dynamical Observations. SIAM J. Math. Data Sci. 2(2): 335-367 (2020) - [j20]Antonio G. Marques, Santiago Segarra, Gonzalo Mateos:
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. IEEE Signal Process. Mag. 37(6): 99-116 (2020) - [j19]Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra:
Centrality Measures for Graphons: Accounting for Uncertainty in Networks. IEEE Trans. Netw. Sci. Eng. 7(1): 520-537 (2020) - [j18]Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra:
Network Inference From Consensus Dynamics With Unknown Parameters. IEEE Trans. Signal Inf. Process. over Networks 6: 300-315 (2020) - [j17]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. 68: 436-451 (2020) - [j16]Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra:
Estimating Network Processes via Blind Identification of Multiple Graph Filters. IEEE Trans. Signal Process. 68: 3049-3063 (2020) - [j15]T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra:
Exact Blind Community Detection From Signals on Multiple Graphs. IEEE Trans. Signal Process. 68: 5016-5030 (2020) - [c49]T. Mitchell Roddenberry, Santiago Segarra:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. ACSSC 2020: 465-469 - [c48]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. ICASSP 2020: 5335-5339 - [c47]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. ICASSP 2020: 5345-5349 - [c46]Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques:
Generative Adversarial Networks for Graph Data Imputation from Signed Observations. ICASSP 2020: 9085-9089 - [i40]T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra:
Exact Blind Community Detection from Signals on Multiple Graphs. CoRR abs/2001.10944 (2020) - [i39]T. Mitchell Roddenberry, Santiago Segarra:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. CoRR abs/2005.00659 (2020) - [i38]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Eigenvector Centrality Rankings. CoRR abs/2008.11330 (2020) - [i37]Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra:
Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR abs/2010.08120 (2020) - [i36]Chiraag Kaushik, T. Mitchell Roddenberry, Santiago Segarra:
Network topology change-point detection from graph signals with prior spectral signatures. CoRR abs/2010.11345 (2020) - [i35]Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Adaptive Contention Window Design using Deep Q-learning. CoRR abs/2011.09418 (2020) - [i34]Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Distributed Scheduling using Graph Neural Networks. CoRR abs/2011.09430 (2020) - [i33]Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Efficient power allocation using graph neural networks and deep algorithm unfolding. CoRR abs/2012.02250 (2020) - [i32]T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis:
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. CoRR abs/2012.09768 (2020)
2010 – 2019
- 2019
- [j14]Gonzalo Mateos, Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. 36(3): 16-43 (2019) - [c45]T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. ACSSC 2019: 220-224 - [c44]Samuel Rey, Antonio G. Marques, Santiago Segarra:
An Underparametrized Deep Decoder Architecture for Graph Signals. CAMSAP 2019: 231-235 - [c43]Michael T. Schaub, Santiago Segarra, Hoi-To Wai:
Spectral Partitioning of Time-varying Networks with Unobserved Edges. ICASSP 2019: 4938-4942 - [c42]Yu Zhu, Fernando Jose Iglesias Garcia, Antonio G. Marques, Santiago Segarra:
Estimation of Network Processes via Blind Graph Multi-filter Identification. ICASSP 2019: 5451-5455 - [c41]Cristina Heghedus, Santiago Segarra, Antorweep Chakravorty, Chunming Rong:
Neural Network Architectures for Electricity Consumption Forecasting. iThings/GreenCom/CPSCom/SmartData 2019: 776-783 - [c40]Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. KDD 2019: 761-771 - [i31]Michael T. Schaub, Santiago Segarra, Hoi-To Wai:
Spectral partitioning of time-varying networks with unobserved edges. CoRR abs/1904.11930 (2019) - [i30]Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. CoRR abs/1905.07451 (2019) - [i29]Michael T. Schaub, Santiago Segarra, John N. Tsitsiklis:
Blind identification of stochastic block models from dynamical observations. CoRR abs/1905.09107 (2019) - [i28]Samuel Rey, Antonio G. Marqués, Santiago Segarra:
An Underparametrized Deep Decoder Architecture for Graph Signals. CoRR abs/1908.00878 (2019) - [i27]Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra:
Network Inference from Consensus Dynamics with Unknown Parameters. CoRR abs/1908.01393 (2019) - [i26]T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. CoRR abs/1910.10846 (2019) - [i25]Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. CoRR abs/1911.00164 (2019) - [i24]T. Mitchell Roddenberry, Santiago Segarra:
HodgeNet: Graph Neural Networks for Edge Data. CoRR abs/1912.02354 (2019) - 2018
- [j13]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical clustering of asymmetric networks. Adv. Data Anal. Classif. 12(1): 65-105 (2018) - [j12]Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan:
Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. 33(3): 500-528 (2018) - [j11]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. IEEE Trans. Signal Inf. Process. over Networks 4(2): 392-406 (2018) - [c39]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Directed Network Topology Inference via Graph Filter Identification. DSW 2018: 210-214 - [c38]Michael T. Schaub, Santiago Segarra:
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. GlobalSIP 2018: 735-739 - [c37]Jingkang Yang, Santiago Segarra:
Enhancing Geometric Deep Learning via Graph Filter Deconvolution. GlobalSIP 2018: 758-762 - [c36]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Community Detection from Low-Rank Excitations of a Graph Filter. ICASSP 2018: 4044-4048 - [c35]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP 2018: 4049-4053 - [c34]Fernando Jose Iglesias Garcia, Santiago Segarra, Samuel Rey-Escudero, Antonio G. Marques, David Ramírez:
Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals. ICASSP 2018: 4189-4193 - [c33]Santiago Segarra, Antonio G. Marques, Mohak Goyal, Samuel Rey-Escudero:
Network Topology Inference From Input-Output Diffusion Pairs. SSP 2018: 508-512 - [i23]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR abs/1801.03862 (2018) - [i22]Michael T. Schaub, Santiago Segarra:
Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space. CoRR abs/1808.02111 (2018) - [i21]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection from Low-rank Excitations of a Graph Filter. CoRR abs/1809.01485 (2018) - 2017
- [j10]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks 3(3): 467-483 (2017) - [j9]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. IEEE Trans. Signal Inf. Process. over Networks 3(4): 711-727 (2017) - [j8]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. IEEE Trans. Signal Process. 65(5): 1146-1159 (2017) - [j7]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. IEEE Trans. Signal Process. 65(15): 4117-4131 (2017) - [j6]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Stationary Graph Processes and Spectral Estimation. IEEE Trans. Signal Process. 65(22): 5911-5926 (2017) - [c32]Santiago Segarra, Yuhao Wang, Caroline Uhler, Antonio G. Marques:
Joint inference of networks from stationary graph signals. ACSSC 2017: 975-979 - [c31]Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro:
Design of weighted median graph filters. CAMSAP 2017: 1-5 - [c30]Santiago Segarra, Michael T. Schaub, Ali Jadbabaie:
Network inference from consensus dynamics. CDC 2017: 3212-3217 - [c29]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Stationary graph processes: Parametric power spectral estimation. ICASSP 2017: 4099-4103 - [c28]David Ramírez, Antonio G. Marques, Santiago Segarra:
Graph-signal reconstruction and blind deconvolution for diffused sparse inputs. ICASSP 2017: 4104-4108 - [c27]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Network topology inference from non-stationary graph signals. ICASSP 2017: 5870-5874 - [c26]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Robust network topology inference. ICASSP 2017: 6518-6522 - [i20]Geert Leus, Santiago Segarra, Alejandro Ribeiro, Antonio G. Marques:
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. CoRR abs/1705.08987 (2017) - [i19]Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra:
Centrality measures for graphons. CoRR abs/1707.09350 (2017) - [i18]Santiago Segarra, Michael T. Schaub, Ali Jadbabaie:
Network Inference from Consensus Dynamics. CoRR abs/1708.05329 (2017) - 2016
- [j5]Santiago Segarra, Alejandro Ribeiro:
Stability and Continuity of Centrality Measures in Weighted Graphs. IEEE Trans. Signal Process. 64(3): 543-555 (2016) - [j4]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Sampling of Graph Signals With Successive Local Aggregations. IEEE Trans. Signal Process. 64(7): 1832-1843 (2016) - [j3]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of Graph Signals Through Percolation from Seeding Nodes. IEEE Trans. Signal Process. 64(16): 4363-4378 (2016) - [c25]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network topology identification from imperfect spectral templates. ACSSC 2016: 1465-1469 - [c24]Santiago Segarra, Antonio G. Marques, Gonzalo R. Arce, Alejandro Ribeiro:
Center-weighted median graph filters. GlobalSIP 2016: 336-340 - [c23]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Blind identification of graph filters with multiple sparse inputs. ICASSP 2016: 4099-4103 - [c22]Jeremy Ma, Weiyu Huang, Santiago Segarra, Alejandro Ribeiro:
Diffusion filtering of graph signals and its use in recommendation systems. ICASSP 2016: 4563-4567 - [c21]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Linear network operators using node-variant graph filters. ICASSP 2016: 4850-4854 - [c20]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Space-shift sampling of graph signals. ICASSP 2016: 6355-6359 - [c19]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Overlapping clustering of network data using cut metrics. ICASSP 2016: 6415-6419 - [c18]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Stationary graph processes: Nonparametric spectral estimation. SAM 2016: 1-5 - [c17]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network topology identification from spectral templates. SSP 2016: 1-5 - [i17]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Stationary Graph Processes and Spectral Estimation. CoRR abs/1603.04667 (2016) - [i16]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Identification from Spectral Templates. CoRR abs/1604.02610 (2016) - [i15]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. CoRR abs/1604.07234 (2016) - [i14]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Clustering of Asymmetric Networks. CoRR abs/1607.06294 (2016) - [i13]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR abs/1607.06335 (2016) - [i12]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Excisive Hierarchical Clustering Methods for Network Data. CoRR abs/1607.06339 (2016) - [i11]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Inference from Spectral Templates. CoRR abs/1608.03008 (2016) - [i10]Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro:
Stylometric Analysis of Early Modern Period English Plays. CoRR abs/1610.05670 (2016) - [i9]Fernando Gama, Santiago Segarra, Alejandro Ribeiro:
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. CoRR abs/1611.01393 (2016) - 2015
- [j2]Santiago Segarra, Weiyu Huang, Alejandro Ribeiro:
Diffusion and Superposition Distances for Signals Supported on Networks. IEEE Trans. Signal Inf. Process. over Networks 1(1): 20-32 (2015) - [j1]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. 63(20): 5464-5478 (2015) - [c16]Weiyu Huang, Santiago Segarra, Alejandro Ribeiro:
Diffusion distance for signals supported on networks. ACSSC 2015: 1219-1223 - [c15]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Sampling of graph signals: Successive local aggregations at a single node. ACSSC 2015: 1819-1823 - [c14]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Distributed implementation of linear network operators using graph filters. Allerton 2015: 1406-1413 - [c13]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Aggregation sampling of graph signals in the presence of noise. CAMSAP 2015: 101-104 - [c12]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind identification of graph filters with sparse inputs. CAMSAP 2015: 449-452 - [c11]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Interpolation of graph signals using shift-invariant graph filters. EUSIPCO 2015: 210-214 - [c10]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of graph signals: Percolation from a single seeding node. GlobalSIP 2015: 844-848 - [c9]Santiago Segarra, Alejandro Ribeiro:
Stability and continuity of centrality measures in weighted graphs. ICASSP 2015: 3387-3391 - [i8]Antonio G. Marques, Santiago Segarra, Geert Leus, Alejandro Ribeiro:
Sampling of graph signals with successive local aggregations. CoRR abs/1504.04687 (2015) - [i7]Santiago Segarra, Antonio G. Marques, Geert Leus, Alejandro Ribeiro:
Reconstruction of Graph Signals through Percolation from Seeding Nodes. CoRR abs/1507.08364 (2015) - [i6]Santiago Segarra, Antonio G. Marques, Alejandro Ribeiro:
Distributed Linear Network Operators using Graph Filters. CoRR abs/1510.03947 (2015) - 2014
- [c8]Santiago Segarra, Alejandro Ribeiro:
Dithering and betweenness centrality in weighted graphs. GlobalSIP 2014: 847-851 - [c7]Santiago Segarra, Alejandro Ribeiro:
A stable betweenness centrality measure in networks. ICASSP 2014: 3859-3863 - [c6]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Quasi-Clustering Methods for Asymmetric Networks. ICML 2014: 352-360 - [i5]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical Quasi-Clustering Methods for Asymmetric Networks. CoRR abs/1404.4655 (2014) - [i4]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution through Function Word Adjacency Networks. CoRR abs/1406.4469 (2014) - [i3]Santiago Segarra, Alejandro Ribeiro:
Stability and Continuity of Centrality Measures in Weighted Graphs. CoRR abs/1410.5119 (2014) - [i2]Santiago Segarra, Weiyu Huang, Alejandro Ribeiro:
Diffusion and Superposition Distances for Signals Supported on Networks. CoRR abs/1411.7443 (2014) - 2013
- [c5]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Hierarchical clustering methods and algorithms for asymmetric networks. ACSSC 2013: 1773-1777 - [c4]Santiago Segarra, Alejandro Ribeiro:
Hierarchical clustering and consensus in trust networks. CAMSAP 2013: 85-88 - [c3]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Alternative axiomatic constructions for hierarchical clustering of asymmetric networks. GlobalSIP 2013: 791-794 - [c2]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Axiomatic construction of hierarchical clustering in asymmetric networks. ICASSP 2013: 5219-5223 - [c1]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship attribution using function words adjacency networks. ICASSP 2013: 5563-5567 - [i1]Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks. CoRR abs/1301.7724 (2013)
Coauthor Index
aka: Samuel Rey
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint