Drgona, Jan

6 publications

TMLR 2024 Extreme Risk Mitigation in Reinforcement Learning Using Extreme Value Theory Karthik Somayaji Ns, Yu Wang, Malachi Schram, Jan Drgona, Mahantesh M Halappanavar, Frank Liu, Peng Li

AAAI 2024 Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li

AAAI 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li

L4DC 2021 Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution Elliott Skomski, Ján Drgoňa, Aaron Tuor

NeurIPS 2021 On the Stochastic Stability of Deep Markov Models Jan Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar

ICLRW 2020 Constrained Neural Ordinary Differential Equations with Stability Guarantees Aaron Tuor, Jan Drgona, Draguna Vrabie