Neary, Cyrus

10 publications

TMLR 2026 A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, Ufuk Topcu, David Fridovich-Keil

ICLR 2026 ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning Roger Creus Castanyer, Faisal Mohamed, Pablo Samuel Castro, Cyrus Neary, Glen Berseth

CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

L4DC 2023 Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks Cyrus Neary, Ufuk Topcu

UAI 2023 Differential Privacy in Cooperative Multiagent Planning Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew Hale, Ufuk Topcu

CoRL 2023 How to Learn and Generalize from Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou, Cyrus Neary, Ufuk Topcu

NeurIPSW 2023 Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception Yunhao Yang, Cyrus Neary, Ufuk Topcu

L4DC 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu

IJCAI 2022 Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu

AAAI 2021 Smooth Convex Optimization Using Sub-Zeroth-Order Oracles Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu