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ORCID34th MLSP 2024: London, UK
- 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024, London, UK, September 22-25, 2024. IEEE 2024, ISBN 979-8-3503-7225-0
- Alexandra Dache, Arnaud Vandaele, Nicolas Gillis:
Orthogonal Symmetric Nonnegative Matrix Tri-Factorization. 1-6 - Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes:
Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension. 1-6 - Anastasios Vafeiadis, Nick van de Waterlaat, Clement Castel, Bruno Defraene, Gerardo Daalderop, Sebastian Vogel, Christophe Macours:
Ultra-Low Memory Speech Denoising using Quantization-Aware Neural Architecture Search. 1-6 - Theodor-Adrian Badea, Bogdan Dumitrescu:
DualGCN: A Convolutional Network for Anomaly Detection in Directed Graphs Based on Symmetrized and Skew-Symmetrized Laplacians. 1-6 - Yucheng Sheng, Hao Ye, Le Liang, Shi Jin:
Semantic Communication for Cooperative Perception with HARQ. 1-6 - Tianxin Wang, Shuo Wang, Xudong Wang, Geoffrey Ye Li:
Collaborative Learning for Less Online Retraining of Neural Receivers. 1-6 - Kavya Ranjan Saxena
, Vipul Arora:
Meta-Learning-Based Supervised Domain Adaptation for Melody Extraction. 1-6 - Jincheng Zhang, György Fazekas, Charalampos Saitis:
Composer Style-Specific Symbolic Music Generation using Vector Quantized Discrete Diffusion Models. 1-6 - Karl Moore, Shamahil Ibunu, Stephen R. Alty, Clive Cheong Took:
Collaborative Learning for Incremental Classification of EMG Signals. 1-5 - Xuenan Xu, Arshdeep Singh, Mengyue Wu, Wenwu Wang, Mark D. Plumbley:
Investigating Passive Filter Pruning for Efficient CNN-Transformer Audio Captioning. 1-6 - Daniel Siromani, Di You, Pier Luigi Dragotti:
A Hallucination Metric and Correction Scheme for Diffusion-Based Image Restoration. 1-6 - Peng Yi, Xin Kang, Ying-Chang Liang:
Integrated Communication and Computation-Enabled Cooperative Spectrum Sensing with the Mamba Network. 1-6 - Xuanyu Zhuang, Geoffroy Peeters, Gaël Richard:
Episodic Fine-Tuning Prototypical Networks for Optimization-Based Few-Shot Learning: Application to Audio Classification. 1-6 - Yidi Zhang, Ming Jiang, Chunming Zhao:
Constellation Design with Metaheuristic Deep Learning for Future Wireless Networks. 1-6 - Eduardo Fernandes Montesuma, Stevan Le Stanc, Fred Ngolè Mboula:
Online Multi-Source Domain Adaptation Through Gaussian Mixtures and Dataset Dictionary Learning. 1-6 - Jiawei Shao, Teng Li, Jun Zhang:
Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception. 1-6 - Vlad Vasilescu, Ana Neacsu, Jean-Christophe Pesquet:
Are Almost Non-Negative Neural Networks Universal Approximators? 1-6 - Francesca De Falco, Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella:
Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series. 1-6 - Haosen Liu, Yunping Zhang, Edmund Y. Lam:
Photon-Limited Imaging with Quanta Image Sensors Via an Unsupervised Learning Framework. 1-6 - Shilpa Chandra, Padmanabhan Rajan:
Is That Me? Using Speaker Identity to Detect Fake Speech. 1-6 - Rikuto Ito, Yasuhiro Oikawa, Kenji Ishikawa:
Tomographic Reconstruction of Sound Field From Optical Projections Using Physics-Informed Neural Networks. 1-6 - Navid Hasanzadeh, Shahrokh Valaee:
Enhancing Generalization in Human Activity Recognition Through Improved WI-FI Channel State Information Phase Processing and Antenna Pair Selection. 1-6 - Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval:
Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. 1-6 - Yicong He, George K. Atia:
Heterogeneous Tensor Domain Adaptation. 1-6 - Yu Lu, Kevin Bui, Roummel F. Marcia:
Negative Binomial Matrix Completion. 1-6 - A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. 1-6 - Thierry Roland Baban A Erep, Lotfi Chaâri, Pierre Ele, Eugene Sobngwi:
ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images. 1-6 - Meiby Ortiz-Bouza, Selin Aviyente:
Discriminative Community Detection for Multiplex Networks. 1-6 - Zijian Fan, Xinwei Cao, Giampiero Salvi, Torbjørn Svendsen:
Towards Better Recognition of Spontaneous Children's Speech: Speaker-Clustering Fine-Tuning of Whisper. 1-6 - Anders Gjølbye Madsen, Lina Skerath, William Theodor Lehn-Schiøler, Nicolas Langer, Lars Kai Hansen:
Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning. 1-6 - Peiwen Jiang, Chao-Kai Wen, Xiao Li, Shi Jin:
Adaptive Semantic Image Transmission Using Generative Foundation Model. 1-6 - Pascal Fernsel, Zeljko Kereta, Alexander Denker:
Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation. 1-6 - Bahri Abaci, Seniha Esen Yüksel:
Integrating Visible Light for Enhanced Thermal Imaging: Parameterized Scene-Based Non-Uniformity Correction. 1-6 - Haniyeh Ehsani Oskouie, Mohammad-Shahram Moin, Shohreh Kasaei:
Attack on Scene Flow Using Point Clouds. 1-6 - Eleonora Lopez, Aurelio Uncini, Danilo Comminiello:
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition. 1-6 - Hang Wang, Zhen Xiang, David J. Miller, George Kesidis:
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. 1-6 - Jitendra K. Tugnait:
Conditional Independence Graph Estimation from Multi-Attribute Dependent Time Series. 1-6 - Joel Brogan, Olivera Kotevska, Anibely Torres, Sumit Jha, Mark Adams:
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations. 1-6 - Vlad S. Paul, Philip A. Nelson:
Singular Value Decomposition for the Efficient Design of Neural Networks. 1-6 - Chun-Ting Fang, Tsung-Jung Liu, Kuan-Hsien Liu:
Enhanced Feature Extraction and Attention Mechanisms for Micro-Expression Recognition. 1-6 - Akram S. Awad, Shuchin Aeron, George K. Atia:
Distributionally Robust Domain Adaptation via Optimal Transport. 1-6 - Jinho Choi, Sivaram Krishnan, Jihong Park:
Koopman Autoencoder Via Singular Value Decomposition for Data-Driven Long-Term Prediction. 1-6 - Ramzan Basheer, Amir Hossein Daraie, Deepak Mishra:
Hypercube-S4GNN: A Multi-Edge Graph Approach Using State Space Models on Multivariate EEG for Seizure Detection. 1-6 - Reina Kaneko, Hayate Kojima, Kenta Yanagiya, Junya Hara, Hiroshi Higashi, Yuichi Tanaka:
Multiscale Graph Construction Using Non-Local Cluster Features. 1-6 - Samuel Domínguez-Cid, Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, D. F. Larios, Carlos León:
Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation. 1-6 - Salil Naik, Glen S. Uehara, Kristen Jaskie, Leslie Miller, Andreas Spanias:
Quantum Positive Unlabeled Learning Algorithms with Applications to Energy. 1-6 - Amarpal Sahota, Amber Roguski, Matthew W. Jones, Zahraa S. Abdallah, Raúl Santos-Rodríguez:
Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification. 1-6 - Ryotaro Kadowaki, Masahiro Yukawa:
Limes-SVM: A Robust Classification Approach Bridging Soft-Margin and Hard-Margin SVMS. 1-6 - Marco A. Montes Grova, Vasileios Mygdalis, Francisco Javier Pérez-Grau, Antidio Viguria, Ioannis Pitas:
Photoconsistent and Trajectory Guided Novel-View Synthesis Tool for UAV Cinematography Based on Autoregressive Transformers. 1-6 - Constance Douwes, Romain Serizel:
Normalizing Energy Consumption for Hardware-Independent Evaluation. 1-6 - Jingqian Wu, Shuo Zhu, Chutian Wang, Edmund Y. Lam:
EV-GS: Event-Based Gaussian Splatting for Efficient and Accurate Radiance Field Rendering. 1-6 - Maxim Yudayev, Benjamin Filtjens, Josep Balasch:
RT-ST-GCN: Enabling Realtime Continual Inference at the Edge. 1-6 - Alexis Juven, Marie-Hélène Aumeunier, Julien Marot:
Generative Models and Simulation to Assess Uncertainties for Tokamak Infrared Thermography. 1-6 - Kuan-Hsien Liu, Wen-Ren Liu, Tsung-Jung Liu:
SWP: A Stage-Weighted Pooling Based Convolutional Neural Networks for Facial Expression Recognition in the Wild. 1-6 - Alireza Esmaeilzehi, Mohammad Javad Rajabi, Hossein Zaredar, M. Omair Ahmad:
DisCrossFormer: A Deep Light-Weight Image Super Resolution Network Using Disentangled Visual Signal Processing and Correlated Cross-Attention Transformer Operation. 1-6 - Luca Dordoni, Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Sparsification of Deep Neural Networks via Ternary Quantization. 1-6 - Konstantinos Marthoglou, Nicholas Vretos, Petros Daras:
Variational Structure Learning for Semi-Supervised Classification. 1-6 - Ali Bereyhi, Ben Liang, Gary Boudreau, Ali Afana:
Novel Gradient Sparsification Algorithm via Bayesian Inference. 1-6 - Victor Faraggi, Jorge F. Silva, Camilo Ramírez, Alvaro Egaña, Eduardo Pavez:
Characterizing Probabilistic Structure in Learning Using Information Sufficiency. 1-6 - Shubham Choudhary, Paul Masset, Demba Ba:
Self Supervised Dictionary Learning Using Kernel Matching. 1-6 - Alexandre Moreau, Angélique Bouchard, Cem Subakan, Guillaume Painchaud-April, Alain Le Duff:
Convolutional Neural Network-Based Reconstruction of Binarized Ultrasound Data for Non-Destructive Testing. 1-6 - Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. 1-6 - Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas:
Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading. 1-6 - Haotian Wang, Zijian Cao, Hua Zhang:
Semantic-Aware Image Compression Architecture for Semantic Communication. 1-6 - Jia Guo, Chenyang Yang:
A Size-Generalizable Graph Neural Network for Learning Multi-User Multi-Stream MIMO Precoding. 1-6 - Fatema Tuz Zohora, Sujit Biswas, Anupam Kumar Bairagi, Kashif Sharit:
Nature-based Bengali Picture Captioning using Global Attention with GRU. 1-6 - Rene Glitza, Luca Becker, Rainer Martin:
Unsupervised Anomalous Sound Detection Using Loss-Weighted Clustered Federated Pre-Training. 1-6 - Teresa Dorszewski, Lenka Tetková, Lars Kai Hansen:
Convexity Based Pruning of Speech Representation Models. 1-6 - Guowei Liu, Hao Ye, Le Liang, Shi Jin:
V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning. 1-6 - Anna Emilie J. Wedenborg, Michael Alexander Harborg, Andreas Bigom, Oliver Elmgreen, Marcus Presutti, Andreas Råskov, Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup:
Modeling Human Responses by Ordinal Archetypal Analysis. 1-6 - Shixiong Wang, Wei Dai, Geoffrey Ye Li:
Distributionally Robust Outlier-Aware Receive Beamforming. 1-6 - Takumi Wada, Sunao Hara, Masanobu Abe:
Explicit Prosody Control to Realize Discourse Focus in End-to-End Text-to-Speech. 1-6 - Zhihang Chu, Changyue Chen, Wei Chen, Zhijin Qin:
Deep Learning-Based CTU Splitting and Dynamic GOP Adjusting for Semantic Aware Video Compression. 1-6 - Lorena Gallego-Viñarás, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia:
Calibration Methods for Alzheimer Disease Detection. 1-6 - Quentin Langlois, Sébastien Jodogne:
Embeddings for Motor Imagery Classification. 1-6 - Chengyao Ruan, Yuhao Qi, Yingmeng Ge, Ziyi Gong, Zaichen Zhang:
Low Complexity Orthogonal Matching Pursuit Based Channel Estimation in mmWave Massive MIMO Systems. 1-6 - Shivangi Dubey Sharma, Basil M. Idrees, Ketan Rajawat:
Analysis of Decentralized Stochastic Successive Convex Approximation for Composite Non-Convex Problems. 1-6 - Georgios Kollias, Vassilis Kalantzis, Lior Horesh, Shashanka Ubaru, Panagiotis A. Traganitis:
Counting Triangles of Graphs via Matrix Partitioning. 1-6 - Xiaoyu Wang, Martin Benning, Audrey Repetti:
A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers. 1-6 - Weixuan Chen, Shunpu Tang, Qianqian Yang:
Enhancing Image Privacy in Semantic Communication over Wiretap Channels Leveraging Differential Privacy. 1-6 - Konstantinos D. Polyzos, Panagiotis A. Traganitis, Manish Kumar Singh, Georgios B. Giannakis:
Ensembles of Informative Representations for Self-Supervised Learning. 1-6 - Giordano Cicchetti, Eleonora Grassucci, Jihong Park, Jinho Choi, Sergio Barbarossa, Danilo Comminiello:
Language-Oriented Semantic Latent Representation for Image Transmission. 1-6 - Rosa M. Fernández-Alcalá, Jesús Navarro-Moreno, José D. Jiménez-López, Clive Cheong Took, Juan Carlos Ruiz-Molina:
A $\mathbb{T} -\text{Proper}$ Karhunen-Loeve Expansion and its Application to the Problem of Simulation. 1-6 - Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax:
RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection. 1-6 - Zhongwen Sun, Wei Chen, Yuxuan Sun, Xiaoqi Qin, Tianwei Hou, Lun Li, Bo Ai:
Deep Learning-Based Grant-Free Massive Access with Age-of-Information Minimization. 1-6 - Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti, Mirco Ravanelli:
Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers. 1-6 - Sungkyun Chang, Emmanouil Benetos, Holger Kirchhoff, Simon Dixon:
YourMT3+: Multi-Instrument Music Transcription with Enhanced Transformer Architectures and Cross-Dataset STEM Augmentation. 1-6 - Kohei Yoshida, Masahiro Yukawa:
Robust Method for Network Topology Identification Under Structural Equation Model. 1-6 - Joakim Lefebvre, Arnaud Vandaele, Nicolas Gillis:
Component-Wise Squared Factorization. 1-6 - Teysir Baoueb, Xiaoyu Bie, Hicham Janati, Gaël Richard:
Wavetransfer: A Flexible End-to-End Multi-Instrument Timbre Transfer with Diffusion. 1-6 - Payel Bhattacharjee, Ravi Tandon:
Adaptive Privacy for Differentially Private Causal Graph Discovery. 1-6 - Fnu Neha, Arvind K. Bansal:
Convnext-PCA: A Parameter-Efficient Model for Accurate Kidney Abnormality Classification. 1-6 - Negar Heidari, Alexandros Iosifidis:
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild. 1-6 - Thuan Nguyen, Ruijie Jiang, Shuchin Aeron, Prakash Ishwar, D. Richard Brown:
On Neural Collapse in Contrastive Learning with Imbalanced Datasets. 1-6 - Sahel Iqbal, Hany Abdulsamad, Tripp Cator, Ulisses Braga-Neto, Simo Särkkä:
Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations. 1-6 - Stefano Schiappacasse, Taco de Wolff, Yann Henaut, Regina Cervera, Aviva Charles, Felipe A. Tobar:
Detection of Manatee Vocalisations Using the Audio Spectrogram Transformer. 1-6 - Marco Carpentiero, Vincenzo Matta, Stefan Vlaski, Ali H. Sayed:
Decentralized Fusion of Experts Over Networks. 1-6 - Chieh-En Wang, Yu-Shan Tai, An-Yeu Wu:
FQ4DM: Full Quantization for Diffusion Model. 1-6 - Christina Runkel, Ander Biguri, Carola-Bibiane Schönlieb:
Continuous Learned Primal Dual. 1-6 - Vlad Striletchi, Cosmin Striletchi, Adriana Stan:
TBDM-NET: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition. 1-6 - Rudolf Herdt, Peter Maass:
Visualize and Paint GAN Activations. 1-6 - Alireza Keshavarzian, Shahrokh Valaee:
Hiervar: A Hierarchical Feature Selection Method for Time Series Analysis. 1-6 - Matt Raymond, Angela Violi, Clayton Scott:
Joint Optimization of Piecewise Linear Ensembles. 1-6 - M'hamed Essafri, Luca Calatroni, Emmanuel Soubies:
On $\ell_{0}$ Bregman-Relaxations for Kullback-Leibler Sparse Regressionx. 1-6 - Haoxiang Huang, Yanzhen Liu:
Attention-Aware Neuromorphic Semantic Communications. 1-6 - Michael Nigro, Binh P. Nguyen, Sridhar Krishnan:
Comparison of Hand-Crafted and Deep Features Towards Explainable AI at the Edge for Analysis of Audio Scenes. 1-6 - Hyung Sup Yun, Il Yong Chun:
Improving Light Field Reconstruction from Limited Focal Stack Using Diffusion Models. 1-6 - Yi Yuan, Zhuo Chen, Xubo Liu, Haohe Liu, Xuenan Xu, Dongya Jia, Yuanzhe Chen, Mark D. Plumbley, Wenwu Wang:
T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining. 1-6 - Jingping Nie, Ran Liu, Behrooz Mahasseni, Vikramjit Mitra:
Model-Driven Heart Rate Estimation and Heart Murmur Detection Based On Phonocardiogram. 1-6 - Zhouxiang Zhao, Zhaohui Yang, Qianqian Yang, Chongwen Huang, Mohammad Shikh-Bahaei, Zhaoyang Zhang:
Sum Rate Maximization for Distributed Riss Assisted Probabilistic Semantic Communication. 1-6 - Ren Wang, Yuxuan Li, Alfred O. Hero III:
Deep Adversarial Defense Against Multilevel $-\ell_{P}$ Attacks. 1-6 - Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
ConQ: Binary Quantization of Neural Networks via Concave Regularization. 1-6 - Christiaan Boerkamp, Steven van der Vlugt, Zaid Al-Ars:
Tina: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators. 1-6 - Victor Sanchez:
Prediction of Imaging Data Based on Signal Processing Boosted by Neural Networks with Continual Learning. 1-6 - Xinhao Mei, Varun Nagaraja, Gaël Le Lan, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra:
Foleygen: Visually-Guided Audio Generation. 1-6 - Weiqi Fu, Lianming Xu, Xin Wu, Haoyang Wei, Li Wang:
Multimodal Generative Semantic Communication Based on Latent Diffusion Model. 1-6 - Vagner Mendonça Gonçalves, Leila C. C. Bergamasco, Fátima L. S. Nunes:
3D Hough Transform-Based Left Ventricle 3D Object Classification for Cardiomyopathy Diagnosis. 1-6 - Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen, Alexander Ilin:
Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems. 1-6 - Sayed Pouria Talebi, Danilo P. Mandic:
On the Dynamics of Multiagent Nonlinear Filtering and Learning. 1-6 - Thomas J. Kerby, Teresa White, Kevin R. Moon:
Learning Local Higher-Order Interactions with Total Correlation. 1-6 - Basil M. Idrees, Lavish Arora, Ketan Rajawat:
Non-Convex Constrained Stochastic Successive Convex Approximation. 1-6
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