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Journal Articles
- 2023
[j1]Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis
, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu:
Formal Methods for Autonomous Systems. Found. Trends Syst. Control. 10(3-4): 180-407 (2023)
Conference and Workshop Papers
- 2024
- [c13]Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu:
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. ACC 2024: 3130-3137 - [c12]Yunhao Yang, Cyrus Neary, Ufuk Topcu:
Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception. AAMAS 2024: 2011-2019 - [c11]Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. ICRA 2024: 4349-4355 - 2023
- [c10]Sophia Smith, Cyrus Neary, Ufuk Topcu:
Automatic Decomposition of Reward Machines for Decentralized Multiagent Reinforcement Learning. CDC 2023: 5423-5430 - [c9]Franck Djeumou, Cyrus Neary, Ufuk Topcu:
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations. CoRL 2023: 577-601 - [c8]Cyrus Neary, Ufuk Topcu:
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. L4DC 2023: 679-691 - [c7]Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew T. Hale, Ufuk Topcu:
Differential Privacy in Cooperative Multiagent Planning. UAI 2023: 347-357 - 2022
- [c6]Cyrus Neary, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu:
Verifiable and Compositional Reinforcement Learning Systems. ICAPS 2022: 615-623 - [c5]Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu:
Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss. AAMAS 2022: 705-713 - [c4]Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. IJCAI 2022: 2923-2929 - [c3]Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. L4DC 2022: 263-277 - 2021
- [c2]Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu:
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles. AAAI 2021: 3815-3822 - [c1]Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu:
Reward Machines for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2021: 934-942
Informal and Other Publications
- 2023
- [i13]Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu:
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. CoRR abs/2301.03565 (2023) - [i12]Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew T. Hale, Ufuk Topcu:
Differential Privacy in Cooperative Multiagent Planning. CoRR abs/2301.08811 (2023) - [i11]Franck Djeumou, Cyrus Neary, Ufuk Topcu:
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations. CoRR abs/2306.06335 (2023) - [i10]Yunhao Yang, Cyrus Neary, Ufuk Topcu:
Multimodal Pretrained Models for Sequential Decision-Making: Synthesis, Verification, Grounding, and Perception. CoRR abs/2308.05295 (2023) - [i9]Cyrus Neary, Aryaman Singh Samyal, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu:
Verifiable Reinforcement Learning Systems via Compositionality. CoRR abs/2309.06420 (2023) - [i8]Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu:
Formal Methods for Autonomous Systems. CoRR abs/2311.01258 (2023) - [i7]Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu:
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. CoRR abs/2312.01249 (2023) - 2022
- [i6]Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. CoRR abs/2201.05715 (2022) - [i5]Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu:
Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss. CoRR abs/2201.06619 (2022) - [i4]Cyrus Neary, Ufuk Topcu:
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. CoRR abs/2212.00893 (2022) - 2021
- [i3]Cyrus Neary, Christos K. Verginis, Murat Cubuktepe, Ufuk Topcu:
Verifiable and Compositional Reinforcement Learning Systems. CoRR abs/2106.05864 (2021) - [i2]Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. CoRR abs/2109.06407 (2021) - 2020
- [i1]Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu:
Reward Machines for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2007.01962 (2020)
Coauthor Index
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