Pascal Frossard
- Papers
- 9
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Authored papers
9Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
arXiv 2025
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
arXiv 2024
Localizing Task Information for Improved Model Merging and Compression
arXiv 2024
SequeL: A Continual Learning Library in PyTorch and JAX
arXiv 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
NeurIPS 2023 11
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
arXiv 2022
DiGress: Discrete Denoising diffusion for graph generation
arXiv 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
arXiv 2022
DeepFool: a simple and accurate method to fool deep neural networks
deepfool-a-simple-and-accurate-method-to-fool-1
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