Matthieu Zimmer

42 papers A* 8B 1Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers. CoRR Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer, Haitham Bou-Ammar
2026	J	`jnl`	Multi-Task GRPO: Reliable LLM Reasoning Across Tasks. CoRR Shyam Sundhar Ramesh, Xiaotong Ji, Matthieu Zimmer, Sangwoong Yoon, Zhiyong Wang, Haitham Bou-Ammar, Aurélien Lucchi, Ilija Bogunovic
2026	J	`jnl`	Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening. CoRR Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer, Haitham Bou-Ammar
2026	J	`jnl`	The Y-Combinator for LLMs: Solving Long-Context Rot with λ-Calculus. CoRR Amartya Roy, Rasul Tutunov, Xiaotong Ji, Matthieu Zimmer, Haitham Bou-Ammar
2025	J	`jnl`	Almost Surely Safe Alignment of Large Language Models at Inference-Time. CoRR Xiaotong Ji, Shyam Sundhar Ramesh, Matthieu Zimmer, Ilija Bogunovic, Jun Wang, Haitham Bou-Ammar
2025	J	`jnl`	Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving. CoRR Matthieu Zimmer, Xiaotong Ji, Rasul Tutunov, Anthony Bordg, Jun Wang, Haitham Bou-Ammar
2025	A*	`conf`	Mixture of Attentions For Speculative Decoding. ICLR Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2025	J	`jnl`	Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective. CoRR Matthieu Zimmer, Xiaotong Ji, Tu Nguyen, Haitham Bou-Ammar
2025	J	`jnl`	Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning. CoRR Bingning Huang, Tu Nguyen, Matthieu Zimmer
2024	J	`jnl`	A survey on interpretable reinforcement learning. Mach. Learn. Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2024	A*	`conf`	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. ICML Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	J	`jnl`	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	J	`jnl`	Mixture of Attentions For Speculative Decoding. CoRR Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2023	—	`conf`	Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. EMNLP (Findings) Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
2023	J	`jnl`	Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. CoRR Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
2023	J	`jnl`	Differentiable Logic Machines. Trans. Mach. Learn. Res. Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
2023	A*	`conf`	End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes. NeurIPS Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar
2023	J	`jnl`	End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes. CoRR Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar
2023	A*	`conf`	Lightweight Structural Choices Operator for Technology Mapping. DAC Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar
2023	J	`jnl`	Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
2022	A*	`conf`	Neuro-Symbolic Hierarchical Rule Induction. ICML Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
2022	J	`jnl`	Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar
2021	J	`jnl`	A Survey on Interpretable Reinforcement Learning. CoRR Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2021	J	`jnl`	Differentiable Logic Machines. CoRR Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
2021	J	`jnl`	Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning. IEEE Robotics Autom. Lett. Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
2021	A*	`conf`	Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. ICML Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng
2021	J	`jnl`	Neuro-Symbolic Hierarchical Rule Induction. CoRR Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu
2020	J	`jnl`	Hyperparameter Auto-tuning in Self-Supervised Robotic Learning. CoRR Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
2020	J	`jnl`	Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Yisheng Guan, Juan Rojas, Paul Weng
2020	J	`jnl`	Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. CoRR Matthieu Zimmer, Umer Siddique, Paul Weng
2020	A*	`conf`	Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards. ICML Umer Siddique, Paul Weng, Matthieu Zimmer
2020	J	`jnl`	Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards. CoRR Umer Siddique, Paul Weng, Matthieu Zimmer
2019	—	`conf`	An efficient reinforcement learning algorithm for learning deterministic policies in continuous domains. DAI Matthieu Zimmer, Paul Weng
2019	A*	`conf`	Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. IJCAI Matthieu Zimmer, Paul Weng
2019	J	`jnl`	Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. CoRR Matthieu Zimmer, Paul Weng
2019	J	`jnl`	Invariant Transform Experience Replay. CoRR Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
2019	J	`jnl`	Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation. CoRR Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
2018	—	`—`	Apprentissage par renforcement développemental. (Developmental reinforcement learning). Matthieu Zimmer
2018	J	`jnl`	Bootstrapping Q-Learning for Robotics From Neuro-Evolution Results. IEEE Trans. Cogn. Dev. Syst. Matthieu Zimmer, Stéphane Doncieux
2018	—	`conf`	Developmental Reinforcement Learning through Sensorimotor Space Enlargement. ICDL-EPIROB Matthieu Zimmer, Yann Boniface, Alain Dutech
2016	B	`conf`	Neural fitted actor-critic. ESANN Matthieu Zimmer, Yann Boniface, Alain Dutech