Hugues Van Assel

12 papers A* 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Group Contrastive Learning for Weakly Paired Multimodal Data.
CoRR
Aditya Gorla, Hugues Van Assel, Jan-Christian Huetter, Heming Yao, Kyunghyun Cho, Aviv Regev, Russell Littman
2025 J jnl
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein.
Trans. Mach. Learn. Res.
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2025 J jnl
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum.
CoRR
Wenquan Lu, Jiaqi Zhang, Hugues Van Assel, Randall Balestriero
2025 J jnl
Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning.
CoRR
Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani, Aviv Regev, Randall Balestriero
2025 J jnl
Statistical signature of subtle behavioral changes in large-scale assays.
PLoS Comput. Biol.
Alexandre Blanc, François Laurent, Alex Barbier-Chebbah, Hugues Van Assel, Benjamin T. Cocanougher, Benjamin M. W. Jones, Peter Hague, Marta Zlatic, Rayan Chikhi, Christian L. Vestergaard, Tihana Jovanic, Jean-Baptiste Masson, Chloé Barré
2025 J jnl
stable-pretraining-v1: Foundation Model Research Made Simple.
CoRR
Randall Balestriero, Hugues Van Assel, Sami BuGhanem, Lucas Maes
2024 J jnl
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection.
CoRR
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2023 J jnl
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein.
CoRR
Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023 J jnl
Optimal Transport with Adaptive Regularisation.
CoRR
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023 A* conf
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.
NeurIPS
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023 J jnl
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.
CoRR
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2022 A* conf
A Probabilistic Graph Coupling View of Dimension Reduction.
NeurIPS
Hugues Van Assel, Thibault Espinasse, Julien Chiquet, Franck Picard