Hugues Van Assel

According to our database, Hugues Van Assel authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Group Contrastive Learning for Weakly Paired Multimodal Data.

Aditya Gorla, Hugues Van Assel, Jan-Christian Huetter, Heming Yao, Kyunghyun Cho, Aviv Regev, Russell Littman

CoRR, February, 2026

2025

stable-pretraining-v1: Foundation Model Research Made Simple.

Randall Balestriero, Hugues Van Assel, Sami BuGhanem, Lucas Maes

CoRR, November, 2025

Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning.

Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani, Aviv Regev, Randall Balestriero

CoRR, May, 2025

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

Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

Trans. Mach. Learn. Res., 2025

Statistical signature of subtle behavioral changes in large-scale assays.

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

PLoS Comput. Biol., 2025

Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum.

Wenquan Lu, Jiaqi Zhang, Hugues Van Assel, Randall Balestriero

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

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

Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

CoRR, 2024

2023

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein.

Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty

CoRR, 2023

Optimal Transport with Adaptive Regularisation.

Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

CoRR, 2023

SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.

Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Probabilistic Graph Coupling View of Dimension Reduction.

Hugues Van Assel, Thibault Espinasse, Julien Chiquet, Franck Picard

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022