ML Anthology

Synnaeve, Gabriel

45 publications

ICML 2025 Optimizing Language Models for Inference Time Objectives Using Reinforcement Learning Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Remi Munos
ICML 2025 RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve
ICLR 2025 SWE-Bench Multimodal: Do AI Systems Generalize to Visual Software Domains? John Yang, Carlos E Jimenez, Alex L Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik R Narasimhan, Diyi Yang, Sida Wang, Ofir Press
NeurIPS 2025 SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, Lingming Zhang, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida Wang
ICLR 2025 TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark Kush Jain, Gabriel Synnaeve, Baptiste Roziere
ICLR 2025 The KoLMogorov Test: Compression by Code Generation Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen
ICLR 2025 What Makes Large Language Models Reason in (Multi-Turn) Code Generation? Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Negrevergne, Gabriel Synnaeve
NeurIPSW 2024 ABEL: Sample Efficient Online Reinforcement Learning for Neural Theorem Proving Fabian Gloeckle, Jannis Limperg, Gabriel Synnaeve, Amaury Hayat
ICML 2024 Better & Faster Large Language Models via Multi-Token Prediction Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, David Lopez-Paz, Gabriel Synnaeve
ICML 2024 CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution Alex Gu, Baptiste Roziere, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang
ICLRW 2024 CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution Alex Gu, Baptiste Roziere, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang
TMLR 2024 DINOv2: Learning Robust Visual Features Without Supervision Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
NeurIPS 2024 Discrete Flow Matching Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
ICML 2024 Getting the Most Out of Your Tokenizer for Pre-Training and Domain Adaptation Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere
ICLR 2024 Masked Audio Generation Using a Single Non-Autoregressive Transformer Alon Ziv, Itai Gat, Gael Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Yossi Adi
AAAI 2023 A Data Source for Reasoning Embodied Agents Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam
ICLR 2023 AudioGen: Textually Guided Audio Generation Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi
ICLR 2023 Code Translation with Compiler Representations Marc Szafraniec, Baptiste Roziere, Hugh James Leather, Patrick Labatut, Francois Charton, Gabriel Synnaeve
NeurIPS 2023 From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Defossez
TMLR 2023 High Fidelity Neural Audio Compression Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi
TMLR 2023 Leveraging Demonstrations with Latent Space Priors Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier
NeurIPS 2023 Simple and Controllable Music Generation Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Defossez
NeurIPSW 2023 Temperature-Scaled Large Language Models for Lean Proofstep Prediction Fabian Gloeckle, Baptiste Roziere, Amaury Hayat, Gabriel Synnaeve
NeurIPS 2023 Textually Pretrained Speech Language Models Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Defossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi
TMLR 2022 Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez, Yossi Adi, Gabriel Synnaeve
ICML 2022 Flashlight: Enabling Innovation in Tools for Machine Learning Jacob D Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
ICLR 2022 Gradient Matching for Domain Generalization Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve
ICLR 2022 Leveraging Automated Unit Tests for Unsupervised Code Translation Baptiste Roziere, Jie Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
NeurIPS 2022 Star Temporal Classification: Sequence Modeling with Partially Labeled Data Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert
NeurIPS 2021 CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov
ICCV 2021 Going Deeper with Image Transformers Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
NeurIPS 2021 Hierarchical Skills for Efficient Exploration Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier
ICCV 2021 MDETR - Modulated Detection for End-to-End Multi-Modal Understanding Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion
NeurIPS 2021 XCiT: Cross-Covariance Image Transformers Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob J. Verbeek, Herve Jegou
ICMLW 2020 End-to-End ASR: From Supervised to Semi-Supervised Learning with Modern Architectures Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert
ECCV 2020 End-to-End Object Detection with Transformers Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
ICML 2020 Growing Action Spaces Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
ICML 2020 Word-Level Speech Recognition with a Letter to Word Encoder Ronan Collobert, Awni Hannun, Gabriel Synnaeve
ICML 2019 A Fully Differentiable Beam Search Decoder Ronan Collobert, Awni Hannun, Gabriel Synnaeve
NeurIPS 2019 A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve, Alessandro Lazaric
ICLR 2019 Value Propagation Networks Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
NeurIPS 2018 Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
ICLR 2018 Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
ICLR 2017 Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
ICLR 2015 Weakly Supervised Multi-Embeddings Learning of Acoustic Models Gabriel Synnaeve, Emmanuel Dupoux