Cyrus Neary - RankMe

37 papers A* 4A 4C 1Misc 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation. Trans. Mach. Learn. Res. Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, Ufuk Topcu, David Fridovich-Keil
2026	J	`jnl`	Value Vision-Language-Action Planning & Search. CoRR Ali Salamatian, Ke Ren, Kieran Pattison, Cyrus Neary
2025	J	`jnl`	ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning. CoRR Roger Creus Castanyer, Faisal Mohamed, Pablo Samuel Castro, Cyrus Neary, Glen Berseth
2025	—	`conf`	Automaton-Based Representations of Task Knowledge from Generative Language Models. NeuS Yunhao Yang, Cyrus Neary, Ufuk Topcu
2025	J	`jnl`	Designing policies for transition-independent multiagent systems that are robust to communication loss. Auton. Agents Multi Agent Syst. Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu
2025	J	`jnl`	Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search. CoRR Cyrus Neary, Omar G. Younis, Artur Kuramshin, Ozgur Aslan, Glen Berseth
2025	J	`jnl`	Multi-Fidelity Policy Gradient Algorithms. CoRR Xinjie Liu, Cyrus Neary, Kushagra Gupta, Christian Ellis, Ufuk Topcu, David Fridovich-Keil
2025	—	`conf`	Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks. CDC Cyrus Neary, Nathan Tsao, Ufuk Topcu
2025	J	`jnl`	RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies. CoRR Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward S. Hu, Fabio Ramos, Jonathan Tremblay, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, Xingfang Yuan, Xuning Yang, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine
2024	A*	`conf`	A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. ICRA Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu
2024	A	`conf`	Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception. AAMAS Yunhao Yang, Cyrus Neary, Ufuk Topcu
2024	J	`jnl`	Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks. CoRR Cyrus Neary, Nathan Tsao, Ufuk Topcu
2024	C	`conf`	Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. ACC Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu
2023	J	`jnl`	A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. CoRR Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu
2023	—	`conf`	Automatic Decomposition of Reward Machines for Decentralized Multiagent Reinforcement Learning. CDC Sophia Smith, Cyrus Neary, Ufuk Topcu
2023	—	`conf`	Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. L4DC Cyrus Neary, Ufuk Topcu
2023	A	`conf`	Differential Privacy in Cooperative Multiagent Planning. UAI Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew T. Hale, Ufuk Topcu
2023	J	`jnl`	Differential Privacy in Cooperative Multiagent Planning. CoRR Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew T. Hale, Ufuk Topcu
2023	J	`jnl`	Formal Methods for Autonomous Systems. CoRR Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu
2023	J	`jnl`	Formal Methods for Autonomous Systems. Found. Trends Syst. Control. Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu
2023	Misc	`conf`	How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations. CoRL Franck Djeumou, Cyrus Neary, Ufuk Topcu
2023	J	`jnl`	How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations. CoRR Franck Djeumou, Cyrus Neary, Ufuk Topcu
2023	J	`jnl`	Multimodal Pretrained Models for Sequential Decision-Making: Synthesis, Verification, Grounding, and Perception. CoRR Yunhao Yang, Cyrus Neary, Ufuk Topcu
2023	J	`jnl`	Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. CoRR Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu
2023	J	`jnl`	Verifiable Reinforcement Learning Systems via Compositionality. CoRR Cyrus Neary, Aryaman Singh Samyal, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu
2022	J	`jnl`	Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. CoRR Cyrus Neary, Ufuk Topcu
2022	—	`conf`	Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. L4DC Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu
2022	A	`conf`	Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss. AAMAS Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu
2022	J	`jnl`	Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss. CoRR Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu
2022	A*	`conf`	Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. IJCAI Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu
2022	J	`jnl`	Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. CoRR Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu
2022	A*	`conf`	Verifiable and Compositional Reinforcement Learning Systems. ICAPS Cyrus Neary, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu
2021	J	`jnl`	Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. CoRR Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu
2021	A	`conf`	Reward Machines for Cooperative Multi-Agent Reinforcement Learning. AAMAS Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu
2021	A*	`conf`	Smooth Convex Optimization Using Sub-Zeroth-Order Oracles. AAAI Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu
2021	J	`jnl`	Verifiable and Compositional Reinforcement Learning Systems. CoRR Cyrus Neary, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu
2020	J	`jnl`	Reward Machines for Cooperative Multi-Agent Reinforcement Learning. CoRR Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu