Mathurin Massias

36 papers A* 7A 5Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training Flow Matching: The Role of Weighting and Parameterization. CoRR Anne Gagneux, Ségolène Martin, Rémi Gribonval, Mathurin Massias
2025	J	`jnl`	Convexity in ReLU Neural Networks: Beyond ICNNs? J. Math. Imaging Vis. Anne Gagneux, Mathurin Massias, Emmanuel Soubies, Rémi Gribonval
2025	J	`jnl`	Convexity in ReLU Neural Networks: beyond ICNNs? CoRR Anne Gagneux, Mathurin Massias, Emmanuel Soubies, Rémi Gribonval
2025	J	`jnl`	DeepInverse: A Python package for solving imaging inverse problems with deep learning. J. Open Source Softw. Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2025	J	`jnl`	Efficient Solvers for SLOPE in R, Python, Julia, and C++. CoRR Johan Larsson, Malgorzata Bogdan, Krystyna Grzesiak, Mathurin Massias, Jonas Wallin
2025	J	`jnl`	On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity. CoRR Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet
2025	J	`jnl`	Proximal Operators of Sorted Nonconvex Penalties. CoRR Anne Gagneux, Mathurin Massias, Emmanuel Soubies
2025	A*	`conf`	Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure. ICLR Can Pouliquen, Mathurin Massias, Titouan Vayer
2025	J	`jnl`	The Generation Phases of Flow Matching: a Denoising Perspective. CoRR Anne Gagneux, Ségolène Martin, Rémi Gribonval, Mathurin Massias
2025	J	`jnl`	skglm: Improving scikit-learn for Regularized Generalized Linear Models. J. Mach. Learn. Res. Badr Moufad, Pierre-Antoine Bannier, Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias
2024	J	`jnl`	Iterative regularization for low complexity regularizers. Numerische Mathematik Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2024	J	`jnl`	Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure. CoRR Can Pouliquen, Mathurin Massias, Titouan Vayer
2023	A	`conf`	Coordinate Descent for SLOPE. AISTATS Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin
2023	J	`jnl`	Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso. CoRR Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer
2022	A*	`conf`	Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
2022	J	`jnl`	Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
2022	A*	`conf`	Beyond L1: Faster and Better Sparse Models with skglm. NeurIPS Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
2022	J	`jnl`	Beyond L1: Faster and Better Sparse Models with skglm. CoRR Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
2022	A*	`conf`	Dimension-free convergence rates for gradient Langevin dynamics in RKHS. COLT Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki
2022	J	`jnl`	Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning. J. Mach. Learn. Res. Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2021	A	`conf`	Anderson acceleration of coordinate descent. AISTATS Quentin Bertrand, Mathurin Massias
2021	J	`jnl`	Implicit differentiation for fast hyperparameter selection in non-smooth convex learning. CoRR Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2021	A	`conf`	Iterative regularization for convex regularizers. AISTATS Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2020	J	`jnl`	Anderson acceleration of coordinate descent. CoRR Quentin Bertrand, Mathurin Massias
2020	J	`jnl`	Dimension-free convergence rates for gradient Langevin dynamics in RKHS. CoRR Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki
2020	J	`jnl`	Implicit regularization for convex regularizers. CoRR Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2020	A	`conf`	Support recovery and sup-norm convergence rates for sparse pivotal estimation. AISTATS Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
2020	J	`jnl`	Support recovery and sup-norm convergence rates for sparse pivotal estimation. CoRR Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
2019	J	`jnl`	Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise. CoRR Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
2019	J	`jnl`	Dual Extrapolation for Sparse Generalized Linear Models. CoRR Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2019	A*	`conf`	Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso. NeurIPS Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
2019	A*	`conf`	Learning step sizes for unfolded sparse coding. NeurIPS Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
2019	J	`jnl`	Learning step sizes for unfolded sparse coding. CoRR Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
2018	A*	`conf`	Celer: a Fast Solver for the Lasso with Dual Extrapolation. ICML Mathurin Massias, Joseph Salmon, Alexandre Gramfort
2018	A	`conf`	Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. AISTATS Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2017	J	`jnl`	From safe screening rules to working sets for faster Lasso-type solvers. CoRR Mathurin Massias, Alexandre Gramfort, Joseph Salmon