Quentin Berthet

51 papers A* 10A 8Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data. CoRR Saptarshi Chakraborty, Quentin Berthet, Peter L. Bartlett
2025	J	`jnl`	Building Bridges between Regression, Clustering, and Classification. CoRR Lawrence Stewart, Francis R. Bach, Quentin Berthet
2025	J	`jnl`	Control Variate Score Matching for Diffusion Models. CoRR Khaled Kahouli, Romuald Elie, Klaus-Robert Müller, Quentin Berthet, Oliver T. Unke, Arnaud Doucet
2025	A	`conf`	Implicit Diffusion: Efficient optimization through stochastic sampling. AISTATS Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
2025	J	`jnl`	Optimal Stopping in Latent Diffusion Models. CoRR Yu-Han Wu, Quentin Berthet, Gérard Biau, Claire Boyer, Romuald Elie, Pierre Marion
2025	A	`conf`	Soft Condorcet Optimization for Ranking of General Agents. AAMAS Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2025	J	`jnl`	hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware. CoRR Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun, Jovan Mitrevski, Nicolò Ghielmetti, Enrico Lupi, Dimitrios Danopoulos, Vladimir Loncar, Javier M. Duarte, David Burnette, Lauri Laatu, Stylianos Tzelepis, Konstantinos Axiotis, Quentin Berthet, Haoyan Wang, Paul White, Suleyman Demirsoy, Marco Colombo, Thea Aarrestad, Sioni Summers, Maurizio Pierini, Giuseppe Di Guglielmo, Jennifer Ngadiuba, Javier Campos, Benjamin Hawks, Abhijith Gandrakota, Farah Fahim, Nhan Tran, George A. Constantinides, Zhiqiang Que, Wayne Luk, Alexander D. Tapper, Duc Hoang, Noah Paladino, Philip C. Harris, Bo-Cheng Lai, Manuel Blanco Valentin, Ryan F. Forelli, Seda Ogrenci, Lino Gerlach, Rian Flynn, Mia Liu, Daniel Diaz, Elham E Khoda, Melissa Quinnan, Russell Solares, Santosh Parajuli, Mark S. Neubauer, Christian Herwig, Ho Fung Tsoi, Dylan S. Rankin, Shih-Chieh Hsu, Scott Hauck
2024	A*	`conf`	Decoding-time Realignment of Language Models. ICML Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Decoding-time Realignment of Language Models. CoRR Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Implicit Diffusion: Efficient Optimization through Stochastic Sampling. CoRR Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet
2024	J	`jnl`	Soft Condorcet Optimization for Ranking of General Agents. CoRR Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2023	A*	`conf`	Differentiable Clustering with Perturbed Spanning Forests. NeurIPS Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
2023	J	`jnl`	Differentiable Clustering with Perturbed Spanning Forests. CoRR Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
2023	A*	`conf`	Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes. ICML Marin Ballu, Quentin Berthet
2023	A	`conf`	Regression as Classification: Influence of Task Formulation on Neural Network Features. AISTATS Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert
2022	J	`jnl`	A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models. CoRR Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui
2022	A*	`conf`	Efficient and Modular Implicit Differentiation. NeurIPS Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2022	A*	`conf`	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. NeurIPS Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor
2022	J	`jnl`	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. CoRR Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor
2022	J	`jnl`	Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes. CoRR Marin Ballu, Quentin Berthet
2022	J	`jnl`	Regression as Classification: Influence of Task Formulation on Neural Network Features. CoRR Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert
2021	—	`conf`	An Area-Efficient SPHINCS IPDPS Workshops Quentin Berthet, Andres Upegui, Laurent Gantel, Alexandre Duc, Giulia Traverso
2021	J	`jnl`	Efficient and Modular Implicit Differentiation. CoRR Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2021	J	`jnl`	Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking. IEEE Signal Process. Lett. Andrew N. Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour
2021	J	`jnl`	Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking. CoRR Andrew N. Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour
2020	A*	`conf`	Fast Differentiable Sorting and Ranking. ICML Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga
2020	J	`jnl`	Fast Differentiable Sorting and Ranking. CoRR Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga
2020	A*	`conf`	Learning with Differentiable Pertubed Optimizers. NeurIPS Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	J	`jnl`	Learning with Differentiable Perturbed Optimizers. CoRR Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	A	`conf`	Statistical and Computational Rates in Graph Logistic Regression. AISTATS Quentin Berthet, Nicolai Baldin
2020	A*	`conf`	Stochastic Optimization for Regularized Wasserstein Estimators. ICML Marin Ballu, Quentin Berthet, Francis R. Bach
2020	J	`jnl`	Stochastic Optimization for Regularized Wasserstein Estimators. CoRR Marin Ballu, Quentin Berthet, Francis R. Bach
2019	A	`conf`	Detection of Planted Solutions for Flat Satisfiability Problems. AISTATS Quentin Berthet, Jordan S. Ellenberg
2019	A*	`conf`	Estimation of smooth densities in Wasserstein distance. COLT Jonathan Weed, Quentin Berthet
2019	A	`conf`	Regularized Contextual Bandits. AISTATS Xavier Fontaine, Quentin Berthet, Vianney Perchet
2019	A	`conf`	Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain. AISTATS Quentin Berthet, Varun Kanade
2019	A	`conf`	Unsupervised Alignment of Embeddings with Wasserstein Procrustes. AISTATS Edouard Grave, Armand Joulin, Quentin Berthet
2018	J	`jnl`	Regularized Contextual Bandits. CoRR Xavier Fontaine, Quentin Berthet, Vianney Perchet
2018	J	`jnl`	Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain. CoRR Quentin Berthet, Varun Kanade
2018	J	`jnl`	Unsupervised Alignment of Embeddings with Wasserstein Procrustes. CoRR Edouard Grave, Armand Joulin, Quentin Berthet
2017	J	`jnl`	Bandit Optimization with Upper-Confidence Frank-Wolfe. CoRR Quentin Berthet, Vianney Perchet
2017	—	`conf`	Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe. NIPS Quentin Berthet, Vianney Perchet
2016	J	`jnl`	Average-case Hardness of RIP Certification. CoRR Tengyao Wang, Quentin Berthet, Yaniv Plan
2016	—	`conf`	Average-case hardness of RIP certification. NIPS Tengyao Wang, Quentin Berthet, Yaniv Plan
2016	J	`jnl`	Exact recovery in the Ising blockmodel. CoRR Quentin Berthet, Philippe Rigollet, Piyush Srivastava
2016	J	`jnl`	Resource Allocation for Statistical Estimation. Proc. IEEE Quentin Berthet, Venkat Chandrasekaran
2015	J	`jnl`	Detection of Planted Solutions for Flat Satisfiability Problems. CoRR Quentin Berthet, Jordan S. Ellenberg
2014	J	`jnl`	Optimal Testing for Planted Satisfiability Problems. CoRR Quentin Berthet
2014	—	`—`	Statistical and Computational Tradeoffs in High-dimensional Problems Quentin Berthet
2013	A*	`conf`	Complexity Theoretic Lower Bounds for Sparse Principal Component Detection. COLT Quentin Berthet, Philippe Rigollet
2013	J	`jnl`	Computational Lower Bounds for Sparse PCA CoRR Quentin Berthet, Philippe Rigollet