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2020 – today
- 2023
[i156]Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz:
Adversarial training with informed data selection. CoRR abs/2301.04472 (2023)- [i155]Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard:
TransFool: An Adversarial Attack against Neural Machine Translation Models. CoRR abs/2302.00944 (2023) - [i154]Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard:
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation. CoRR abs/2302.09048 (2023) - [i153]Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard:
Targeted Adversarial Attacks against Neural Machine Translation. CoRR abs/2303.01068 (2023) - [i152]Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar:
Hierarchical Training of Deep Neural Networks Using Early Exiting. CoRR abs/2303.02384 (2023) - 2022
- [j163]Ilaria Ricchi, Anjali Tarun, Hermina Petric Maretic, Pascal Frossard, Dimitri Van De Ville:
Dynamics of functional network organization through graph mixture learning. NeuroImage 252: 119037 (2022) - [j162]Yuan Yuan
, Gene Cheung, Pascal Frossard, H. Vicky Zhao, Jiwu Huang:
Landmarking for Navigational Streaming of Stored High-Dimensional Media. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5663-5679 (2022) - [j161]Navid Mahmoudian Bidgoli, Roberto Gerson de Albuquerque Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard:
OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression. IEEE Trans. Image Process. 31: 5813-5827 (2022) - [j160]Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard:
iPool - Information-Based Pooling in Hierarchical Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5032-5044 (2022) - [j159]Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard:
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets. IEEE Trans. Signal Inf. Process. over Networks 8: 63-77 (2022) - [j158]Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks 8: 353-363 (2022) - [c261]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI 2022: 7710-7718 - [c260]Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard:
CLAD: A Contrastive Learning based Approach for Background Debiasing. BMVC 2022: 449 - [c259]Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
On Smoothed Explanations: Quality and Robustness. CIKM 2022: 15-25 - [c258]Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard:
A Structured Dictionary Perspective on Implicit Neural Representations. CVPR 2022: 19206-19216 - [c257]Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard:
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. ECCV (12) 2022: 173-190 - [c256]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. ECCV (25) 2022: 623-640 - [c255]Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz:
Adversarial training with informed data selection. EUSIPCO 2022: 608-612 - [c254]Apostolos Modas, Andrea Cavallaro, Pascal Frossard:
Data augmentation with mixtures of max-entropy transformations for filling-level classification. EUSIPCO 2022: 1606-1610 - [c253]Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation classification models. EUSIPCO 2022: 1636-1640 - [c252]Arun Venkitaraman, Pascal Frossard:
Annihilation Filter Approach for Estimating Graph Dynamics from Diffusion Processes. ICASSP 2022: 5583-5587 - [c251]Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard:
Distributed Graph Learning With Smooth Data Priors. ICASSP 2022: 5852-5856 - [c250]Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard:
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. ICASSP 2022: 7837-7841 - [c249]Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
Fooling Explanations in Text Classifiers. ICLR 2022 - [c248]Clément Vignac, Pascal Frossard:
Top-N: Equivariant Set and Graph Generation without Exchangeability. ICLR 2022 - [c247]Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
On the Granularity of Explanations in Model Agnostic NLP Interpretability. PKDD/ECML Workshops (1) 2022: 498-512 - [i151]Apostolos Modas, Andrea Cavallaro, Pascal Frossard:
Data augmentation with mixtures of max-entropy transformations for filling-level classification. CoRR abs/2203.04027 (2022) - [i150]Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard:
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. CoRR abs/2203.05948 (2022) - [i149]Javier Maroto, Guillermo Ortiz-Jiménez, Pascal Frossard:
On the benefits of knowledge distillation for adversarial robustness. CoRR abs/2203.07159 (2022) - [i148]Ahmet Caner Yüzügüler, Canberk Sönmez, Mario Drumond, Yunho Oh, Babak Falsafi, Pascal Frossard:
Scale-out Systolic Arrays. CoRR abs/2203.11540 (2022) - [i147]Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard:
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. CoRR abs/2203.12412 (2022) - [i146]Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard:
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition. CoRR abs/2205.09037 (2022) - [i145]Mingxing Xu, Chenglin Li, Wenrui Dai, Siheng Chen, Junni Zou, Pascal Frossard, Hongkai Xiong:
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling. CoRR abs/2205.15571 (2022) - [i144]Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
Fooling Explanations in Text Classifiers. CoRR abs/2206.03178 (2022) - [i143]Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr:
Catastrophic overfitting is a bug but also a feature. CoRR abs/2206.08242 (2022) - [i142]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. CoRR abs/2209.14734 (2022) - [i141]Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard:
CLAD: A Contrastive Learning based Approach for Background Debiasing. CoRR abs/2210.02748 (2022) - [i140]Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR abs/2210.05274 (2022) - [i139]Nikolaos Dimitriadis, Pascal Frossard, François Fleuret:
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. CoRR abs/2210.09759 (2022) - [i138]Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. CoRR abs/2211.00748 (2022) - [i137]Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard:
A Meta-GNN approach to personalized seizure detection and classification. CoRR abs/2211.02642 (2022) - [i136]Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen:
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. CoRR abs/2212.02845 (2022) - [i135]Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
Estimating the Adversarial Robustness of Attributions in Text with Transformers. CoRR abs/2212.09155 (2022) - 2021
- [j157]Roberto Gerson De Albuquerque Azevedo, Neil Birkbeck, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Multi-Feature 360 Video Quality Estimation. IEEE Open J. Circuits Syst. 2: 338-349 (2021) - [j156]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness. Proc. IEEE 109(5): 635-659 (2021) - [j155]Effrosyni Simou, Dorina Thanou, Pascal Frossard:
node2coords: Graph Representation Learning with Wasserstein Barycenters. IEEE Trans. Signal Inf. Process. over Networks 7: 17-29 (2021) - [j154]Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard:
Multiscale Representation Learning of Graph Data With Node Affinity. IEEE Trans. Signal Inf. Process. over Networks 7: 30-44 (2021) - [j153]Semin Kwak, Nikolas Geroliminis, Pascal Frossard:
Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs. IEEE Trans. Signal Inf. Process. over Networks 7: 648-659 (2021) - [c246]Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
FAR: A General Framework for Attributional Robustness. BMVC 2021: 24 - [c245]Clémentine Aguet, Jérôme Van Zaen, João Jorge, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay:
Feature Learning for Blood Pressure Estimation from Photoplethysmography. EMBC 2021: 463-466 - [c244]Javier Maroto, Clément Vignac, Pascal Frossard:
Modurec: Recommender Systems with Feature and Time Modulation. ICASSP 2021: 3615-3619 - [c243]Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard:
Figlearn: Filter and Graph Learning Using Optimal Transport. ICASSP 2021: 5415-5419 - [c242]Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving Filling Level Classification with Adversarial Training. ICIP 2021: 829-833 - [c241]Beril Besbinar, Pascal Frossard:
Self-Supervision By Prediction For Object Discovery In Videos. ICIP 2021: 1509-1513 - [c240]Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
What can linearized neural networks actually say about generalization? NeurIPS 2021: 8998-9010 - [i134]Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving filling level classification with adversarial training. CoRR abs/2102.04057 (2021) - [i133]Beril Besbinar, Pascal Frossard:
Self-Supervision by Prediction for Object Discovery in Videos. CoRR abs/2103.05669 (2021) - [i132]Harshitha Machiraju, Oh-Hyeon Choung, Pascal Frossard, Michael H. Herzog:
Bio-inspired Robustness: A Review. CoRR abs/2103.09265 (2021) - [i131]Javier Maroto, Gérôme Bovet, Pascal Frossard:
On the benefits of robust models in modulation recognition. CoRR abs/2103.14977 (2021) - [i130]Mireille El Gheche, Pascal Frossard:
Multilayer Graph Clustering with Optimized Node Embedding. CoRR abs/2103.16534 (2021) - [i129]Yuan Yuan, Gene Cheung, Pascal Frossard, H. Vicky Zhao, Jiwu Huang:
Landmarking for Navigational Streaming of Stored High-Dimensional Media. CoRR abs/2104.06876 (2021) - [i128]Semin Kwak, Nikolas Geroliminis, Pascal Frossard:
Predicting traffic signals on transportation networks using spatio-temporal correlations on graphs. CoRR abs/2104.13414 (2021) - [i127]Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A neural anisotropic view of underspecification in deep learning. CoRR abs/2104.14372 (2021) - [i126]Roberto Gerson de Albuquerque Azevedo, Neil Birkbeck, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Multi-feature 360 Video Quality Estimation. CoRR abs/2105.00567 (2021) - [i125]Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation recognition models. CoRR abs/2105.13746 (2021) - [i124]Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
What can linearized neural networks actually say about generalization? CoRR abs/2106.06770 (2021) - [i123]Xing Gao, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard:
Message Passing in Graph Convolution Networks via Adaptive Filter Banks. CoRR abs/2106.09910 (2021) - [i122]Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar:
Privacy-Preserving Image Acquisition Using Trainable Optical Kernel. CoRR abs/2106.14577 (2021) - [i121]Navid Mahmoudian Bidgoli, Roberto Gerson de Albuquerque Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard:
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression. CoRR abs/2107.09179 (2021) - [i120]Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard:
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets. CoRR abs/2108.01660 (2021) - [i119]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
FGOT: Graph Distances based on Filters and Optimal Transport. CoRR abs/2109.04442 (2021) - [i118]Clément Vignac, Pascal Frossard:
Top-N: Equivariant set and graph generation without exchangeability. CoRR abs/2110.02096 (2021) - [i117]Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard:
A Structured Dictionary Perspective on Implicit Neural Representations. CoRR abs/2112.01917 (2021) - [i116]Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard:
Distributed Graph Learning with Smooth Data Priors. CoRR abs/2112.05887 (2021) - [i115]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR abs/2112.13547 (2021) - 2020
- [j152]Ricardo Sanchez-Matilla, Konstantinos I. Chatzilygeroudis, Apostolos Modas, Nuno Ferreira Duarte, Alessio Xompero, Pascal Frossard, Aude Billard, Andrea Cavallaro:
Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling. IEEE Robotics Autom. Lett. 5(2): 1642-1649 (2020) - [j151]Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective. IEEE Signal Process. Mag. 37(4): 14-23 (2020) - [j150]Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard:
Graph Signal Processing for Machine Learning: A Review and New Perspectives. IEEE Signal Process. Mag. 37(6): 117-127 (2020) - [j149]Roberto Gerson De Albuquerque Azevedo, Neil Birkbeck, Francesca De Simone, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Visual Distortions in 360° Videos. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2524-2537 (2020) - [j148]Giulia Fracastoro, Dorina Thanou, Pascal Frossard:
Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. 29: 419-432 (2020) - [j147]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
OrthoNet: Multilayer Network Data Clustering. IEEE Trans. Signal Inf. Process. over Networks 6: 152-162 (2020) - [j146]Hermina Petric Maretic, Pascal Frossard:
Graph Laplacian Mixture Model. IEEE Trans. Signal Inf. Process. over Networks 6: 261-270 (2020) - [j145]Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard:
Mask Combination of Multi-Layer Graphs for Global Structure Inference. IEEE Trans. Signal Inf. Process. over Networks 6: 394-406 (2020) - [c239]Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai:
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks. CVPR 2020: 8443-8452 - [c238]Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard:
Joint Graph-Based Depth Refinement and Normal Estimation. CVPR 2020: 12151-12160 - [c237]Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro:
Multi-View Shape Estimation of Transparent Containers. ICASSP 2020: 2363-2367 - [c236]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP 2020: 5405-5409 - [c235]Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On The Choice of Graph Neural Network Architectures. ICASSP 2020: 8489-8493 - [c234]Roberto Gerson De Albuquerque Azevedo, Neil Birkbeck, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
A Viewport-Driven Multi-Metric Fusion Approach for 360-Degree Video Quality Assessment. ICME 2020: 1-6 - [c233]Roberto Gerson De Albuquerque Azevedo, Neil Birkbeck, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Subjective and Viewport-based Objective Quality Assessment of 360-degree videos. IQSP 2020 - [c232]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS 2020 - [c231]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. NeurIPS 2020 - [c230]Clément Vignac, Andreas Loukas, Pascal Frossard:
Building powerful and equivariant graph neural networks with structural message-passing. NeurIPS 2020 - [i114]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR abs/2002.06349 (2020) - [i113]Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-based Graph Alignment. CoRR abs/2003.06048 (2020) - [i112]Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai:
GeoDA: a geometric framework for black-box adversarial attacks. CoRR abs/2003.06468 (2020) - [i111]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. CoRR abs/2006.09717 (2020) - [i110]Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard:
Graph Pooling with Node Proximity for Hierarchical Representation Learning. CoRR abs/2006.11118 (2020) - [i109]Clément Vignac, Andreas Loukas, Pascal Frossard:
Building powerful and equivariant graph neural networks with message-passing. CoRR abs/2006.15107 (2020) - [i108]Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Towards robust sensing for Autonomous Vehicles: An adversarial perspective. CoRR abs/2007.10115 (2020) - [i107]Effrosyni Simou, Dorina Thanou, Pascal Frossard:
node2coords: Graph Representation Learning with Wasserstein Barycenters. CoRR abs/2007.16056 (2020) - [i106]Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard:
Graph signal processing for machine learning: A review and new perspectives. CoRR abs/2007.16061 (2020) - [i105]Javier Maroto, Clément Vignac, Pascal Frossard:
Modurec: Recommender Systems with Feature and Time Modulation. CoRR abs/2010.07050 (2020) - [i104]Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
FAR: A General Framework for Attributional Robustness. CoRR abs/2010.07393 (2020) - [i103]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness. CoRR abs/2010.09624 (2020) - [i102]Mireille El Gheche, Pascal Frossard:
Multilayer Clustered Graph Learning. CoRR abs/2010.15456 (2020) - [i101]Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard:
FiGLearn: Filter and Graph Learning using Optimal Transport. CoRR abs/2010.15457 (2020) - [i100]Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
Sentence-Based Model Agnostic NLP Interpretability. CoRR abs/2012.13189 (2020) - [i99]Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
QUACKIE: A NLP Classification Task With Ground Truth Explanations. CoRR abs/2012.13190 (2020)
2010 – 2019
- 2019
- [j144]Ahmet Caner Yuzuguler, Firat Celik, Mario Drumond, Babak Falsafi, Pascal Frossard:
Analog Neural Networks With Deep-Submicrometer Nonlinear Synapses. IEEE Micro 39(5): 55-63 (2019) - [j143]Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard:
Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Process. Mag. 36(3): 44-63 (2019) - [j142]Jingyu Yang, Xinchen Ye, Pascal Frossard:
Global Auto-Regressive Depth Recovery via Iterative Non-Local Filtering. IEEE Trans. Broadcast. 65(1): 123-137 (2019) - [j141]Xue Zhang, Laura Toni, Pascal Frossard, Yao Zhao, Chunyu Lin:
Adaptive Streaming in Interactive Multiview Video Systems. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1130-1144 (2019) - [j140]Stefano D'Aronco, Pascal Frossard:
Online Resource Inference in Network Utility Maximization Problems. IEEE Trans. Netw. Sci. Eng. 6(3): 432-444 (2019) - [c229]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via Curvature Regularization, and Vice Versa. CVPR 2019: 9078-9086 - [c228]Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: A Few Pixels Make a Big Difference. CVPR 2019: 9087-9096 - [c227]Deniz Sayin Mercadier, Beril Besbinar, Pascal Frossard:
Automatic Segmentation of Nuclei in Histopathology Images Using Encoding-decoding Convolutional Neural Networks. ICASSP 2019: 1020-1024 - [c226]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. ICASSP 2019: 3567-3571 - [c225]