Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

H-index: 66

Europe-Switzerland

About Pascal Frossard

Pascal Frossard, With an exceptional h-index of 66 and a recent h-index of 46 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of machine learning, image processing, computer vision, multimedia communications.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bures-Wasserstein means of graphs

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection

Equivariant 3d-conditional diffusion models for molecular linker design

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion

Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

Hierarchical Training of Deep Neural Networks Using Early Exiting

Targeted adversarial attacks against neural machine translation

Pascal Frossard Information

University

Position

EPFL

Citations(all)

30459

Citations(since 2020)

20315

Cited By

18046

hIndex(all)

66

hIndex(since 2020)

46

i10Index(all)

273

i10Index(since 2020)

133

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

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Pascal Frossard Skills & Research Interests

machine learning

image processing

computer vision

multimedia communications

Top articles of Pascal Frossard

Title

Journal

Author(s)

Publication Date

Bures-Wasserstein means of graphs

Isabel Haasler

Pascal Frossard

2024/4/18

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

arXiv preprint arXiv:2403.15241

Junbo Yin

Jianbing Shen

Runnan Chen

Wei Li

Ruigang Yang

...

2024/3/22

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection

arXiv preprint arXiv:2402.02239

Hugues Van Assel

Cédric Vincent-Cuaz

Nicolas Courty

Rémi Flamary

Pascal Frossard

...

2024/2/3

Equivariant 3d-conditional diffusion models for molecular linker design

Nature Machine Intelligence

Ilia Igashov

Hannes Stärk

Clément Vignac

Arne Schneuing

Victor Garcia Satorras

...

2024/4/11

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion

Manuel Madeira

Dorina Thanou

Pascal Frossard

2023/10/8

Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

Ahmad Ajalloeian

Seyed Mohsen Moosavi-Dezfooli

Michalis Vlachos

Pascal Frossard

2023/12/1

Hierarchical Training of Deep Neural Networks Using Early Exiting

arXiv preprint arXiv:2303.02384

Yamin Sepehri

Pedram Pad

Ahmet Caner Yüzügüler

Pascal Frossard

L Andrea Dunbar

2023/3/4

Targeted adversarial attacks against neural machine translation

Sahar Sadrizadeh

AmirHossein Dabiri Aghdam

Ljiljana Dolamic

Pascal Frossard

2023/6/4

Task arithmetic in the tangent space: Improved editing of pre-trained models

Guillermo Ortiz-Jimenez*

Alessandro Favero*

Pascal Frossard

2023/5/22

SVGC-AVA: 360-degree video saliency prediction with spherical vector-based graph convolution and audio-visual attention

IEEE Transactions on Multimedia

Qin Yang

Yuqi Li

Chenglin Li

Hao Wang

Sa Yan

...

2023/8/18

Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection

Qinyue Zheng

Arun Venkitaraman

Simona Petravic

Pascal Frossard

2023/9/17

Sparse Training of Discrete Diffusion Models for Graph Generation

arXiv preprint arXiv:2311.02142

Yiming Qin

Clement Vignac

Pascal Frossard

2023/11/3

A Meta-GNN approach to personalized seizure detection and classification

Abdellah Rahmani

Arun Venkitaraman

Pascal Frossard

2023/6/4

Scale-out systolic arrays

ACM Transactions on Architecture and Code Optimization

Ahmet Caner Yüzügüler

Canberk Sönmez

Mario Drumond

Yunho Oh

Babak Falsafi

...

2023/3/1

Transfool: An adversarial attack against neural machine translation models

TMLR

Sahar Sadrizadeh

Ljiljana Dolamic

Pascal Frossard

2023

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models

Nikolaos Dimitriadis

Pascal Frossard

François Fleuret

2023/7/3

Online network source optimization with graph-kernel MAB

Laura Toni

Pascal Frossard

2023/9/17

Inferring Cardiovascular Biomarkers with Hybrid Model Learning

Ortal Senouf

Jens Behrmann

Joern-Henrik Jacobsen

Pascal Frossard

Emmanuel Abbe

...

2023/11/3

Maximum Likelihood Distillation for Robust Modulation Classification

Javier Maroto

Gérôme Bovet

Pascal Frossard

2023/6/4

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

Open Heart

Thabo Mahendiran

Dorina Thanou

Ortal Senouf

David Meier

Nicolas Dayer

...

2023/1/1

See List of Professors in Pascal Frossard University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 76
Pierre Vandergheynst

Pierre Vandergheynst

École Polytechnique Fédérale de Lausanne

H-index: 71
Antonio Ortega

Antonio Ortega

University of Southern California

H-index: 43
Gene Cheung

Gene Cheung

York University

H-index: 39
Jacob Chakareski

Jacob Chakareski

New Jersey Institute of Technology

H-index: 25
Xiaowen Dong

Xiaowen Dong

University of Oxford

H-index: 22
Laura Toni

Laura Toni

University College London

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