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2020 – today
- 2025
[c11]Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby:
Multimodal Autoregressive Pre-training of Large Vision Encoders. CVPR 2025: 9641-9654- [c10]Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton:
Simple ReFlow: Improved Techniques for Fast Flow Models. ICLR 2025 - [c9]Pau Rodríguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau:
Controlling Language and Diffusion Models by Transporting Activations. ICLR 2025 - [i19]Michal Klein, Louis Béthune, Eugène Ndiaye, Marco Cuturi:
Multivariate Conformal Prediction using Optimal Transport. CoRR abs/2502.03609 (2025) - [i18]Pau Rodríguez, Michal Klein, Eleonora Gualdoni, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau:
End-to-end Learning of Sparse Interventions on Activations to Steer Generation. CoRR abs/2503.10679 (2025) - [i17]Michal Klein, Alireza Mousavi Hosseini, Stephen Y. Zhang, Marco Cuturi:
On Fitting Flow Models with Large Sinkhorn Couplings. CoRR abs/2506.05526 (2025) - [i16]Waïss Azizian, Michael Kirchhof, Eugène Ndiaye, Louis Béthune, Michal Klein, Pierre Ablin, Marco Cuturi:
The Geometries of Truth Are Orthogonal Across Tasks. CoRR abs/2506.08572 (2025) - [i15]Alireza Mousavi Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi:
Flow Matching with Semidiscrete Couplings. CoRR abs/2509.25519 (2025) - [i14]Thiziri Nait Saada, Louis Béthune, Michal Klein, David Grangier, Marco Cuturi, Pierre Ablin:
The Data-Quality Illusion: Rethinking Classifier-Based Quality Filtering for LLM Pretraining. CoRR abs/2510.00866 (2025) - [i13]Bruno Mlodozeniec, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi:
Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration. CoRR abs/2512.22382 (2025) - 2024
- [c8]Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin:
Scalable Pre-training of Large Autoregressive Image Models. ICML 2024: 12371-12384 - [c7]Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin:
Careful with that Scalpel: Improving Gradient Surgery with an EMA. ICML 2024: 19085-19100 - [c6]Zoe Piran, Michal Klein, James Thornton, Marco Cuturi:
Contrasting Multiple Representations with the Multi-Marginal Matching Gap. ICML 2024: 40827-40842 - [c5]Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi:
Progressive Entropic Optimal Transport Solvers. NeurIPS 2024 - [c4]Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi:
Learning Elastic Costs to Shape Monge Displacements. NeurIPS 2024 - [i12]Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin:
Scalable Pre-training of Large Autoregressive Image Models. CoRR abs/2401.08541 (2024) - [i11]Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin:
Careful with that Scalpel: Improving Gradient Surgery with an EMA. CoRR abs/2402.02998 (2024) - [i10]Zoe Piran, Michal Klein, James Thornton, Marco Cuturi:
Contrasting Multiple Representations with the Multi-Marginal Matching Gap. CoRR abs/2405.19532 (2024) - [i9]Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi:
Progressive Entropic Optimal Transport Solvers. CoRR abs/2406.05061 (2024) - [i8]Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton:
Simple ReFlow: Improved Techniques for Fast Flow Models. CoRR abs/2410.07815 (2024) - [i7]Pau Rodríguez López, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau:
Controlling Language and Diffusion Models by Transporting Activations. CoRR abs/2410.23054 (2024) - [i6]Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor Guilherme Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander T. Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby:
Multimodal Autoregressive Pre-training of Large Vision Encoders. CoRR abs/2411.14402 (2024) - 2023
- [c3]Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus:
Predicting Ordinary Differential Equations with Transformers. ICML 2023: 1978-2002 - [c2]Marco Cuturi, Michal Klein, Pierre Ablin:
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps. ICML 2023: 6671-6682 - [c1]Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi:
Unbalanced Low-rank Optimal Transport Solvers. NeurIPS 2023 - [i5]Marco Cuturi, Michal Klein, Pierre Ablin:
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps. CoRR abs/2302.04065 (2023) - [i4]Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi:
Unbalanced Low-rank Optimal Transport Solvers. CoRR abs/2305.19727 (2023) - [i3]Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi:
Learning Costs for Structured Monge Displacements. CoRR abs/2306.11895 (2023) - [i2]Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus:
Predicting Ordinary Differential Equations with Transformers. CoRR abs/2307.12617 (2023) - 2022
- [i1]Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus:
Discovering ordinary differential equations that govern time-series. CoRR abs/2211.02830 (2022)
Coauthor Index
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