Pascal Frossard

École Polytechnique — France

Computer Science · Physical Sciences

57h-index26.8kcitations756works4.52yr avg
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Research Topics

Video Coding and Compression Technologies(142), Advanced Vision and Imaging(121), Image and Video Quality Assessment(111), Advanced Graph Neural Networks(78), Adversarial Robustness in Machine Learning(71)

Publications756 total

A Fast Volumetric Capture and Reconstruction Pipeline for Dynamic Point Clouds and Gaussian Splats
arXiv (Cornell University)·2025Open Access
Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins
arXiv (Cornell University)·2025Open Access
A Fast Volumetric Capture and Reconstruction Pipeline for Dynamic Point Clouds and Gaussian Splats
2025· 1 citedOpen Access
Backdoor Unlearning by Linear Task Decomposition
arXiv (Cornell University)·2025Open Access
AI-Driven multi-view learning from CCTA for myocardial infarction diagnosis
The International Journal of Cardiovascular Imaging·2025Open Access
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
Lecture notes in computer science·2025Open Access
Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and Unpooling
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025Open Access
Inductive Domain Transfer In Misspecified Simulation-Based Inference
arXiv (Cornell University)·2025Open Access
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
arXiv (Cornell University)·2025Open Access
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
2025
Physics-informed model of epileptic seizure dynamics
2025
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
arXiv (Cornell University)·2025Open Access
Decoding the interactions and functions of non-coding RNA with artificial intelligence
Nature Reviews Molecular Cell Biology·2025· 5 citedOpen Access
Generating Directed Graphs with Dual Attention and Asymmetric Encoding
arXiv (Cornell University)·2025Open Access
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
arXiv (Cornell University)·2025Open Access
Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning
arXiv (Cornell University)·2025Open Access
Revealing Brain and Spinal Cord Functional Networks by Block-Structured Graph Laplacian Mixture Models
2025
Extended pre-training of histopathology foundation models uncovers co-existing breast cancer archetypes characterized by RNA splicing or TGF-β dysregulation
2025Open Access
OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context
2025· 1 cited
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Seyed-Mohsen Moosavi-Dezfooli(13), Alhussein Fawzi(10), Pierre Vandergheynst(9), Dorina Thanou(5), Xiaowen Dong(4), Laura Toni(4), Jacob Chakareski(4), David I Shuman(3), Omar Fawzi(3), Dan Jurca(3), Antonio Ortega(2), Ivana Tošić(2), N. Nefedov(2), Michael M. Bronstein(2), O. Verscheure(2), Stefano Soatto(2), Clément Vignac(2), Rosa Ventura(2), Jean-Paul Wagner(2), Sunil K. Narang(1)