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Publication search results
found 196 matches
- 2024
- Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster:
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 11:1-11:32 (2024) - Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev:
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. ICML 2024 - Alon Ascoli, Fernando Corinto, Marco Gilli, Ahmet Samil Demirkol, Nicolas Schmitt, Ioannis Messaris, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua:
An Analytical Method to Induce a Multistable Periodic Response to Pulse Trains in a ReRAM Cell. MOCAST 2024: 1-5 - Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. NAIC 2024: 9-17 - Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster:
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation. SIGMETRICS/Performance (Abstracts) 2024: 85-86 - Marvin Schmitt, Yuga Hikida, Stefan T. Radev, Filip Sadlo, Paul-Christian Bürkner:
The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas. CoRR abs/2403.11141 (2024) - Taveesh Sharma, Paul Schmitt, Francesco Bronzino, Nick Feamster, Nicole P. Marwell:
Spatial Models for Crowdsourced Internet Access Network Performance Measurements. CoRR abs/2405.11138 (2024) - Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. CoRR abs/2406.02784 (2024) - Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation. CoRR abs/2406.03154 (2024) - Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner:
Amortized Bayesian Multilevel Models. CoRR abs/2408.13230 (2024) - 2023
- Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319: 103918 (2023) - Shaoxiong Sun, Erik Bresch, Jens Muehlsteff, Lars Schmitt, Xi Long, Rick Bezemer, Igor Paulussen, Gerrit Jan Noordergraaf, Ronald M. Aarts:
Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery. Biomed. Signal Process. Control. 79(Part): 104040 (2023) - Felix Johannes Schmitt, Vahid Rostami, Martin Paul Nawrot:
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST. Frontiers Neuroinformatics 17 (2023) - Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner:
BayesFlow: Amortized Bayesian Workflows With Neural Networks. J. Open Source Softw. 8(90): 5702 (2023) - Adam Frankish, Silvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E. Loveland, Jonathan M. Mudge, Cristina Sisu, James C. Wright, Carme Arnan, If Barnes, Abhimanyu Banerjee, Ruth Bennett, Andrew E. Berry, Alexandra Bignell, Carles Boix, Ferriol Calvet Riera, Daniel Cerdán-Vélez, Fiona Cunningham, Claire Davidson, Sarah M. Donaldson, Cagatay Dursun, Reham Fatima, Stefano Giorgetti, Carlos García-Girón, Jose M. Gonzalez, Matthew Hardy, Peter W. Harrison, Thibaut Hourlier, Zoe Hollis, Toby Hunt, Benjamin James, Yunzhe Jiang, Rory Johnson, Mike P. Kay, Julien Lagarde, Fergal J. Martin, Laura Martínez Gómez, Surag Nair, Pengyu Ni, Fernando Pozo, Vivek Ramalingam, Magali Ruffier, Bianca M. Schmitt, Jacob M. Schreiber, Emily Steed, Marie-Marthe Suner, Dulika Sumathipala, Irina Sycheva, Barbara Uszczynska-Ratajczak, Elizabeth Wass, Yucheng T. Yang, Andrew D. Yates, Zahoor Zafrulla, Jyoti Choudhary, Mark Gerstein, Roderic Guigó, Tim J. P. Hubbard, Manolis Kellis, Anshul Kundaje, Benedict Paten, Michael L. Tress, Paul Flicek:
GENCODE: reference annotation for the human and mouse genomes in 2023. Nucleic Acids Res. 51(D1): 942-949 (2023) - Shinan Liu, Francesco Bronzino, Paul Schmitt, Arjun Nitin Bhagoji, Nick Feamster, Hector Garcia Crespo, Timothy Coyle, Brian Ward:
LEAF: Navigating Concept Drift in Cellular Networks. PACMNET 1(CoNEXT2): 7:1-7:24 (2023) - Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Meta-Uncertainty in Bayesian Model Comparison. AISTATS 2023: 11-29 - Swapna Joshi, Avram Block, Paul Schmitt:
Autonomous Vehicle and External Road User Interfaces: Mapping of Standards Gaps and Opportunities. AutomotiveUI (Adjunct Proceedings) 2023: 30-35 - Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM 2023: 541-557 - Masoud Ebrahimi, Stefan Marksteiner, Dejan Nickovic, Roderick Bloem, David Schögler, Philipp Eisner, Samuel Sprung, Thomas Schober, Sebastian Chlup, Christoph Schmittner, Sandra König:
A Systematic Approach to Automotive Security. FM 2023: 598-609 - Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Paul Schmitt, Francesco Bronzino, Nick Feamster:
Generative, High-Fidelity Network Traces. HotNets 2023: 131-138 - Avram Block, Seonghee Lee, Aryaman Pandya, Paul Schmitt:
I See You! Design Factors for Supporting Pedestrian-AV Interaction at Crosswalks. HRI (Companion) 2023: 364-368 - Seong Hee Lee, Nicholas Britten, Avram Block, Aryaman Pandya, Malte F. Jung, Paul Schmitt:
Coming In! Communicating Lane Change Intent in Autonomous Vehicles. HRI (Companion) 2023: 394-398 - Seong Hee Lee, Vaidehi Patil, Nicholas Britten, Avram Block, Aryaman Pandya, Malte F. Jung, Paul Schmitt:
Safe to Approach: Insights on Autonomous Vehicle Interaction Protocols with First Responders. HRI (Companion) 2023: 399-402 - Alon Ascoli, Nicolas Schmitt, Ioannis Messaris, Ahmet Samil Demirkol, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua:
Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell from Hewlett Packard Labs. MetroXRAINE 2023: 971-976 - Martino Trevisan, Idilio Drago, Paul Schmitt, Francesco Bronzino:
Measuring the Performance of iCloud Private Relay. PAM 2023: 3-17 - Vera Schmitt, Paul Michel dit Ferrer, Arooj Anwar Khan, Ina Kern, Sebastian Möller:
How Much is Your Instagram Data Worth? Economic Perspective of Privacy in the Social Media Context. Privacy and Identity Management 2023: 292-308 - Avram Block, Swapna Joshi, Wilbert Tabone, Aryaman Pandya, Seonghee Lee, Vaidehi Patil, Nicholas Britten, Paul Schmitt:
The Road Ahead: Advancing Interactions between Autonomous Vehicles, Pedestrians, and Other Road Users. RO-MAN 2023: 16-23 - Thorsten Tarrach, Masoud Ebrahimi, Sandra König, Christoph Schmittner, Roderick Bloem, Dejan Nickovic:
Attribute Repair for Threat Prevention. SAFECOMP 2023: 135-148 - Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner:
Jana: Jointly amortized neural approximation of complex Bayesian models. UAI 2023: 1695-1706
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