MB
Mathieu Blondel
cs.LGstat.MLcs.AIcs.CLmath.OCcs.MSAlgorithmsbioinformaticsbody area networkcs.CV
On Valency
published · living versionsW_dwtmxhph·v1 · currentpublished
Scikit-learn: Machine Learning in Python
with Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel +14
1 version
Preprints & journals
48 papers in the corpus · 2012–2026Gemma 4 Technical Report2607.02770v2 · Gemma Team: Sherif El Abd, Vaibhav Aggarwal, Robin Algayres et al.2026 · 8 citationsarXiv
Regularized Large Neighborhood Search2606.02294v1 · Germain Vivier-Ardisson, Laurent Demonet, Axel Parmentier et al.2026 · 0 citationsarXiv
Differentiable Knapsack and Top-k Operators via Dynamic Programming2601.21775v1 · Germain Vivier-Ardisson, Michael E. Sander, Axel Parmentier et al.2026 · 0 citationsarXiv
Learning with Local Search MCMC Layers2505.14240v3 · Germain Vivier-Ardisson, Mathieu Blondel, Axel Parmentier2025 · 0 citationsarXiv
On Teacher Hacking in Language Model Distillation2502.02671v1 · Daniil Tiapkin, Daniele Calandriello, Johan Ferret et al.2025 · 1 citationarXiv
Joint Learning of Energy-based Models and their Partition Function2501.18528v3 · Michael E. Sander, Vincent Roulet, Tianlin Liu et al.2025 · 0 citationsarXiv
Loss Functions and Operators Generated by f-Divergences2501.18537v2 · Vincent Roulet, Tianlin Liu, Nino Vieillard et al.2025 · 0 citationsarXiv
Stepping on the Edge: Curvature Aware Learning Rate Tuners2407.06183v1 · Vincent Roulet, Atish Agarwala, Jean-Bastien Grill et al.2024 · 1 citationarXiv
Learning with Fitzpatrick Losses2405.14574v1 · Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara et al.2024 · 1 citationarXiv
The Elements of Differentiable Programming2403.14606v4 · Mathieu Blondel, Vincent Roulet2024 · 9 citationsarXiv
Implicit Diffusion: Efficient Optimization through Stochastic Sampling2402.05468v3 · Pierre Marion, Anna Korba, Peter Bartlett et al.2024 · 0 citationsarXiv
How do Transformers perform In-Context Autoregressive Learning?2402.05787v2 · Michael E. Sander, Raja Giryes, Taiji Suzuki et al.2024 · 0 citationsarXiv
Direct Language Model Alignment from Online AI Feedback2402.04792v2 · Shangmin Guo, Biao Zhang, Tianlin Liu et al.2024 · 4 citationsarXiv
Decoding-time Realignment of Language Models2402.02992v2 · Tianlin Liu, Shangmin Guo, Leonardo Bianco et al.2024 · 1 citationarXiv
Routers in Vision Mixture of Experts: An Empirical Study2401.15969v2 · Tianlin Liu, Mathieu Blondel, Carlos Riquelme et al.2024 · 4 citationsarXiv
Dual Gauss-Newton Directions for Deep Learning2308.08886v2 · Vincent Roulet, Mathieu Blondel2023 · 0 citationsarXiv
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective2302.01425v3 · Michael E. Sander, Joan Puigcerver, Josip Djolonga et al.2023 · 6 citationsarXiv
Deep embedding and alignment of protein sequences.36522501 · Llinares-López, Felipe, Berthet, Quentin, Blondel, Mathieu et al.2023 · 58 citationsNature methods. 2023;20(1):104-111
Sparsity-Constrained Optimal Transport2209.15466v2 · Tianlin Liu, Joan Puigcerver, Mathieu Blondel2022 · 5 citationsarXiv
Learning Energy Networks with Generalized Fenchel-Young Losses2205.09589v2 · Mathieu Blondel, Felipe Llinares-L'opez, Robert Dadashi et al.2022 · 1 citationarXiv
Cutting Some Slack for SGD with Adaptive Polyak Stepsizes2202.12328v2 · Robert M. Gower, Mathieu Blondel, Nidham Gazagnadou et al.2022 · 3 citationsarXiv
Sinkformers: Transformers with Doubly Stochastic Attention2110.11773v2 · Michael E. Sander, Pierre Ablin, Mathieu Blondel et al.2021 · 14 citationsarXiv
Sparse Continuous Distributions and Fenchel-Young Losses2108.01988v2 · Andr'e F. T. Martins, Marcos Treviso, Ant'onio Farinhas et al.2021 · 3 citationsarXiv
Efficient and Modular Implicit Differentiation2105.15183v5 · Mathieu Blondel, Quentin Berthet, Marco Cuturi et al.2021 · 110 citationsarXiv
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning2105.01637v3 · Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias et al.2021 · 8 citationsarXiv
Momentum Residual Neural Networks2102.07870v3 · Michael E. Sander, Pierre Ablin, Mathieu Blondel et al.2021 · 31 citationsarXiv
Differentiable Divergences Between Time Series2010.08354v3 · Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert2020 · 35 citationsarXiv
Learning with Differentiable Perturbed Optimizers2002.08676v2 · Quentin Berthet, Mathieu Blondel, Olivier Teboul et al.2020 · 48 citationsarXiv
Fast Differentiable Sorting and Ranking2002.08871v2 · Mathieu Blondel, Olivier Teboul, Quentin Berthet et al.2020 · 74 citationsarXiv
Implicit differentiation of Lasso-type models for hyperparameter optimization2002.08943v3 · Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel et al.2020 · 25 citationsarXiv
Structured Prediction with Projection Oracles1910.11369v2 · Mathieu Blondel2019 · 9 citationsarXiv
Geometric Losses for Distributional Learning1905.06005v1 · Arthur Mensch, Mathieu Blondel, Gabriel Peyr'e2019 · 9 citationsProceedings of the International Conference on Machine Learning, 2019, Long Beach, United States
Learning with Fenchel-Young Losses1901.02324v2 · Mathieu Blondel, Andr'e F. T. Martins, Vlad Niculae2019 · 36 citationsarXiv
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms1805.09717v4 · Mathieu Blondel, Andr'e F. T. Martins, Vlad Niculae2018 · 25 citationsarXiv
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization1802.05429v1 · Antoine Rolet, Vivien Seguy, Mathieu Blondel et al.2018 · 14 citationsarXiv
SparseMAP: Differentiable Sparse Structured Inference1802.04223v2 · Vlad Niculae, Andr'e F. T. Martins, Mathieu Blondel et al.2018 · 66 citationsarXiv
Differentiable Dynamic Programming for Structured Prediction and Attention1802.03676v2 · Arthur Mensch, Mathieu Blondel2018 · 78 citationsarXiv
Large-Scale Optimal Transport and Mapping Estimation1711.02283v2 · Vivien Seguy, Bharath Bhushan Damodaran, R'emi Flamary et al.2017 · 118 citationsarXiv
Smooth and Sparse Optimal Transport1710.06276v2 · Mathieu Blondel, Vivien Seguy, Antoine Rolet2017 · 87 citationsarXiv
Multi-output Polynomial Networks and Factorization Machines1705.07603v2 · Mathieu Blondel, Vlad Niculae, Takuma Otsuka et al.2017 · 7 citationsarXiv
A Regularized Framework for Sparse and Structured Neural Attention1705.07704v3 · Vlad Niculae, Mathieu Blondel2017 · 74 citationsarXiv
Soft-DTW: a Differentiable Loss Function for Time-Series1703.01541v2 · Marco Cuturi, Mathieu Blondel2017 · 384 citationsarXiv
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms1607.08810v1 · Mathieu Blondel, Masakazu Ishihata, Akinori Fujino et al.2016 · 65 citationsarXiv
Higher-Order Factorization Machines1607.07195v2 · Mathieu Blondel, Akinori Fujino, Naonori Ueda et al.2016 · 121 citationsarXiv
A Ranking Approach to Genomic Selection.26068103 · Blondel, Mathieu, Onogi, Akio, Iwata, Hiroyoshi et al.2016 · 84 citationsPloS one. 2015;10(6):e0128570
Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study.25630348 · Nohara, Yasunobu, Kai, Eiko, Ghosh, Partha Pratim et al.2015 · 39 citationsJournal of medical Internet research. 2015;17(1):e2
API design for machine learning software: experiences from the scikit-learn project1309.0238v1 · Lars Buitinck (ILPS), Gilles Louppe, Mathieu Blondel et al.2013 · 2,120 citationsEuropean Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (2013)
Scikit-learn: Machine Learning in Python1201.0490v4 · Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort et al.2012 · 69,606 citationsJournal of Machine Learning Research (2011)on Valency
Career total: 79 works. 48 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.