Antoine Dedieu

33 papers A* 8A 2Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoHarness: improving LLM agents by automatically synthesizing a code harness. CoRR Xinghua Lou, Miguel Lázaro-Gredilla, Antoine Dedieu, Carter Wendelken, Wolfgang Lehrach, Kevin P. Murphy
2025	J	`jnl`	Code World Models for General Game Playing. CoRR Wolfgang Lehrach, Daniel Hennes, Miguel Lázaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Jordi Grau-Moya, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin P. Murphy
2025	J	`jnl`	Diffusion Model Predictive Control. Trans. Mach. Learn. Res. Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Patrick Murphy
2025	A*	`conf`	Improving Transformer World Models for Data-Efficient RL. ICML Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J. Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Kevin Patrick Murphy
2025	J	`jnl`	Improving Transformer World Models for Data-Efficient RL. CoRR Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, Wolfgang Lehrach, J. Swaroop Guntupalli, Miguel Lázaro-Gredilla, Kevin Patrick Murphy
2024	A*	`conf`	DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors. NeurIPS Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Sivaramakrishnan Swaminathan, Guangyao Zhou, Miguel Lázaro-Gredilla, Kevin P. Murphy
2024	J	`jnl`	DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors. CoRR Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Guangyao Zhou, Sivaramakrishnan Swaminathan, Miguel Lázaro-Gredilla, Kevin Murphy
2024	J	`jnl`	Diffusion Model Predictive Control. CoRR Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy
2024	A*	`conf`	Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. ICML Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
2024	J	`jnl`	Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. CoRR Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
2024	J	`jnl`	PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX. J. Mach. Learn. Res. Guangyao Zhou, Antoine Dedieu, Nishanth Kumar, Wolfgang Lehrach, Shrinu Kushagra, Dileep George, Miguel Lázaro-Gredilla
2023	A*	`conf`	Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. ICML Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
2023	J	`jnl`	Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. CoRR Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
2023	A*	`conf`	Schema-learning and rebinding as mechanisms of in-context learning and emergence. NeurIPS Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
2023	J	`jnl`	Schema-learning and rebinding as mechanisms of in-context learning and emergence. CoRR Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
2023	J	`jnl`	Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low. Oper. Res. Rahul Mazumder, Peter Radchenko, Antoine Dedieu
2022	J	`jnl`	Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation. J. Mach. Learn. Res. Antoine Dedieu, Rahul Mazumder, Haoyue Wang
2021	J	`jnl`	Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping. CoRR Guangyao Zhou, Wolfgang Lehrach, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
2021	J	`jnl`	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. J. Mach. Learn. Res. Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
2021	A*	`conf`	Perturb-and-max-product: Sampling and learning in discrete energy-based models. NeurIPS Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George
2021	J	`jnl`	Perturb-and-max-product: Sampling and learning in discrete energy-based models. CoRR Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George
2021	A*	`conf`	Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. AAAI Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
2021	A*	`conf`	Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. AAAI Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
2020	J	`jnl`	Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. CoRR Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
2020	J	`jnl`	Query Training: Learning and inference for directed and undirected graphical models. CoRR Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
2020	J	`jnl`	Sample-efficient L0-L2 constrained structure learning of sparse Ising models. CoRR Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
2019	J	`jnl`	An error bound for Lasso and Group Lasso in high dimensions. CoRR Antoine Dedieu
2019	A	`conf`	Error bounds for sparse classifiers in high-dimensions. AISTATS Antoine Dedieu
2019	J	`jnl`	Learning higher-order sequential structure with cloned HMMs. CoRR Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George
2019	J	`jnl`	Solving large-scale L1-regularized SVMs and cousins: the surprising effectiveness of column and constraint generation. CoRR Antoine Dedieu, Rahul Mazumder
2019	J	`jnl`	Sparse (group) learning with Lipschitz loss functions: a unified analysis. CoRR Antoine Dedieu
2018	J	`jnl`	Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming. CoRR Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi
2018	A	`conf`	Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. CIKM Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi