Pascal Frossard

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 296

Top Venues

Publications

Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
Localizing Task Information for Improved Model Merging and Compression. CoRR (2024)
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation. EACL (1) (2024)
Javier Maroto, Pascal Frossard
PUMA: margin-based data pruning. CoRR (2024)
Qin Yang, Yuqi Li, Chenglin Li, Hao Wang, Sa Yan, Li Wei, Wenrui Dai, Junni Zou, Hongkai Xiong, Pascal Frossard
SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention. IEEE Trans. Multim. 26 (2024)
Isabel Haasler, Pascal Frossard
Bures-Wasserstein Means of Graphs. AISTATS (2024)
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR (2024)
Wen-Xin Pan, Isabel Haasler, Pascal Frossard
Subgraph Matching via Partial Optimal Transport. CoRR (2024)
Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard
Generative Modelling of Structurally Constrained Graphs. CoRR (2024)
Junbo Yin, Jianbing Shen, Runnan Chen, Wei Li, Ruigang Yang, Pascal Frossard, Wenguan Wang
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection. CoRR (2024)
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences. CoRR (2024)
Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6 (4) (2024)
Sunok Kim, Seungryong Kim, Dongbo Min, Pascal Frossard, Kwanghoon Sohn
Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Laura Toni, Pascal Frossard
Online Network Source Optimization with Graph-Kernel MAB. CoRR (2023)
Ahmet Caner Yüzügüler, Canberk Sönmez, Mario Drumond, Yunho Oh, Babak Falsafi, Pascal Frossard
Scale-out Systolic Arrays. ACM Trans. Archit. Code Optim. 20 (2) (2023)
Laura Toni, Pascal Frossard
Online Network Source Optimization with Graph-Kernel MAB. ECML/PKDD (3) (2023)
Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation. ECML/PKDD (2) (2023)
Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. AAAI (2023)
Chaofan He, Roberto Gerson de Albuquerque Azevedo, Jiacheng Chen, Shuyuan Zhu, Bing Zeng, Pascal Frossard
Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming. IEEE Trans. Circuits Syst. Video Technol. 33 (10) (2023)
Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
A Meta-Gnn Approach to Personalized Seizure Detection and Classification. ICASSP (2023)
Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz
Adversarial training with informed data selection. CoRR (2023)
Yamin Sepehri, Pedram Pad, Clément Kündig, Pascal Frossard, L. Andrea Dunbar
Privacy-Preserving Image Acquisition for Neural Vision Systems. IEEE Trans. Multim. 25 (2023)
Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr
Catastrophic overfitting can be induced with discriminative non-robust features. Trans. Mach. Learn. Res. 2023 (2023)
Isabel Haasler, Pascal Frossard
Bures-Wasserstein Means of Graphs. CoRR (2023)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
Flexible Channel Dimensions for Differentiable Architecture Search. CoRR (2023)
Yiming Qin, Clément Vignac, Pascal Frossard
Sparse Training of Discrete Diffusion Models for Graph Generation. CoRR (2023)
Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard
Targeted Adversarial Attacks against Neural Machine Translation. CoRR (2023)
Yamin Sepehri, Pedram Pad, Ahmet Caner Yüzügüler, Pascal Frossard, L. Andrea Dunbar
Hierarchical Training of Deep Neural Networks Using Early Exiting. CoRR (2023)
Harshitha Machiraju, Michael H. Herzog, Pascal Frossard
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions. CoRR (2023)
Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels. CoRR (2023)
Qinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard
Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection. ECML/PKDD (6) (2023)
Adam Ivankay, Mattia Rigotti, Pascal Frossard
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. CoRR (2023)
Sahar Sadrizadeh, Clément Barbier, Ljiljana Dolamic, Pascal Frossard
A Relaxed Optimization Approach for Adversarial Attacks Against Neural Machine Translation Models. EUSIPCO (2023)
Adam Ivankay, Mattia Rigotti, Pascal Frossard
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. ACL (1) (2023)
Manuel Madeira, Dorina Thanou, Pascal Frossard
Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion. GRAIL/OCELOT@MICCAI (2023)
Abdellah Rahmani, Pascal Frossard
Castor: Causal Temporal Regime Structure Learning. CoRR (2023)
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
TransFool: An Adversarial Attack against Neural Machine Translation Models. CoRR (2023)
Sahar Sadrizadeh, Clément Barbier, Ljiljana Dolamic, Pascal Frossard
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models. CoRR (2023)
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
TransFool: An Adversarial Attack against Neural Machine Translation Models. Trans. Mach. Learn. Res. 2023 (2023)
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. ICML (2023)
Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. CoRR (2023)
Manuel Madeira, Dorina Thanou, Pascal Frossard
Tertiary Lymphoid Structures Generation through Graph-based Diffusion. CoRR (2023)
Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
DiGress: Discrete Denoising diffusion for graph generation. ICLR (2023)
Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. NeurIPS (2023)
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation. CoRR (2023)
Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard
Targeted Adversarial Attacks Against Neural Machine Translation. ICASSP (2023)
Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation. CoRR (2023)
Qinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection. CoRR (2023)
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM (2023)
Nikolaos Dimitriadis, François Fleuret, Pascal Frossard
SequeL: A Continual Learning Library in PyTorch and JAX. CoRR (2023)
Javier Maroto, Gérôme Bovet, Pascal Frossard
Maximum Likelihood Distillation for Robust Modulation Classification. ICASSP (2023)
Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Apostolos Modas, Andrea Cavallaro, Pascal Frossard
Data augmentation with mixtures of max-entropy transformations for filling-level classification. CoRR (2022)
Arun Venkitaraman, Pascal Frossard
Annihilation Filter Approach for Estimating Graph Dynamics from Diffusion Processes. ICASSP (2022)
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. CoRR (2022)
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 (2022)
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. ICASSP (2022)
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
On Smoothed Explanations: Quality and Robustness. CIKM (2022)
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) (2022)
Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz
Adversarial training with informed data selection. EUSIPCO (2022)
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 (2022)
Ilaria Ricchi, Anjali Tarun, Hermina Petric Maretic, Pascal Frossard, Dimitri Van De Ville
Dynamics of functional network organization through graph mixture learning. NeuroImage 252 (2022)
Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard
CLAD: A Contrastive Learning based Approach for Background Debiasing. BMVC (2022)
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI (2022)
Ahmet Caner Yüzügüler, Canberk Sönmez, Mario Drumond, Yunho Oh, Babak Falsafi, Pascal Frossard
Scale-out Systolic Arrays. CoRR (2022)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. ECCV (12) (2022)
Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition. CoRR (2022)
Clément Vignac, Pascal Frossard
Top-N: Equivariant Set and Graph Generation without Exchangeability. ICLR (2022)
Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard
Estimating the Adversarial Robustness of Attributions in Text with Transformers. CoRR (2022)
Clémentine Aguet, Jérôme Van Zaen, Martin Proença, Guillaume Bonnier, Pascal Frossard, Mathieu Lemay
Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography. CinC (2022)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. CoRR (2022)
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)
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 (2022)
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. CoRR (2022)
Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard
Distributed Graph Learning With Smooth Data Priors. ICASSP (2022)
Javier Maroto, Gérôme Bovet, Pascal Frossard
Maximum Likelihood Distillation for Robust Modulation Classification. CoRR (2022)
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)
Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
A Meta-GNN approach to personalized seizure detection and classification. CoRR (2022)
Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
DiGress: Discrete Denoising diffusion for graph generation. CoRR (2022)
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) (2022)
Javier Maroto, Gérôme Bovet, Pascal Frossard
SafeAMC: Adversarial training for robust modulation classification models. EUSIPCO (2022)
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 (2022)
Javier Maroto, Guillermo Ortiz-Jiménez, Pascal Frossard
On the benefits of knowledge distillation for adversarial robustness. CoRR (2022)
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard
A Structured Dictionary Perspective on Implicit Neural Representations. CVPR (2022)
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 (2022)
Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard
CLAD: A Contrastive Learning based Approach for Background Debiasing. CoRR (2022)
Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
Fooling Explanations in Text Classifiers. ICLR (2022)
Apostolos Modas, Andrea Cavallaro, Pascal Frossard
Data augmentation with mixtures of max-entropy transformations for filling-level classification. EUSIPCO (2022)
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 (2022)
Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
Fooling Explanations in Text Classifiers. CoRR (2022)
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
What can linearized neural networks actually say about generalization? CoRR (2021)
Javier Maroto, Gérôme Bovet, Pascal Frossard
On the benefits of robust models in modulation recognition. CoRR (2021)
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 (2021)
Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar
Privacy-Preserving Image Acquisition Using Trainable Optical Kernel. CoRR (2021)
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
What can linearized neural networks actually say about generalization? NeurIPS (2021)
Javier Maroto, Gérôme Bovet, Pascal Frossard
SafeAMC: Adversarial training for robust modulation recognition models. CoRR (2021)
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
Improving filling level classification with adversarial training. CoRR (2021)
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 (2021)
Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets. CoRR (2021)
Beril Besbinar, Pascal Frossard
Self-Supervision by Prediction for Object Discovery in Videos. CoRR (2021)
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
FGOT: Graph Distances based on Filters and Optimal Transport. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pascal Frossard