Cyrus Neary

发表

Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs

Ufuk Topcu, Eric Goubault, Sylvie Putot, 2022, 2201.05715.

Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks

U. Topcu, Cyrus Neary, 2022, ArXiv.

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

U. Topcu, É. Goubault, S. Putot, 2021, L4DC.

Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss pdf

Ufuk Topcu, Mustafa O. Karabag, Cyrus Neary, 2022, AAMAS.

Reward Machines for Cooperative Multi-Agent Reinforcement Learning

Zhe Xu, Bo Wu, U. Topcu, 2020, AAMAS.

Multiscale heterogeneous optimal lockdown control for COVID-19 using geographic information

Niklas T. Lauffer, Alexander J. Phillips, U. Topcu, 2022, Scientific Reports.

Automaton-Based Representations of Task Knowledge from Generative Language Models

U. Topcu, Yunhao Yang, Jean-Raphael Gaglione, 2022, 2212.01944.

How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations

U. Topcu, Cyrus Neary, Franck Djeumou, 2023, 2306.06335.

Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks

U. Topcu, Cyrus Neary, 2022, L4DC.

Automaton-Based Representations of Task Knowledge from Generative Language Models

U. Topcu, Yunhao Yang, Jean-Raphael Gaglione, 2022, 2212.01944.

Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs

U. Topcu, É. Goubault, S. Putot, 2022, IJCAI.

Verifiable and Compositional Reinforcement Learning Systems

Christos K. Verginis, U. Topcu, Murat Cubuktepe, 2021, ICAPS.

Multimodal Pretrained Models for Sequential Decision-Making: Synthesis, Verification, Grounding, and Perception

U. Topcu, Yunhao Yang, Cyrus Neary, 2023, ArXiv.

A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning

U. Topcu, Aryaman Singh Samyal, Cyrus Neary, 2023, ArXiv.

Verifiable Reinforcement Learning Systems via Compositionality

U. Topcu, Aryaman Singh Samyal, Murat Cubuktepe, 2023, ArXiv.

Differential Privacy in Cooperative Multiagent Planning

Mustafa O. Karabag, U. Topcu, M. Hale, 2023, UAI.

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control

Adam J. Thorpe, U. Topcu, Cyrus Neary, 2023, ArXiv.

Automatic Decomposition of Reward Machines for Decentralized Multiagent Reinforcement Learning

U. Topcu, Cyrus Neary, Sophia Smith, 2023, 2023 62nd IEEE Conference on Decision and Control (CDC).