Ján Drgona
Orcid: 0000-0003-1223-208XAffiliations:
- Pacific Northwest National Laboratory (PNNL), Richland, WA, USA
- KU Leuven, Belgium
- Slovak University of Technology, Bratislava, Slovakia (PhD)
According to our database1,
Ján Drgona
authored at least 42 papers
between 2013 and 2024.
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2024
Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024
Trans. Mach. Learn. Res., 2024
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming.
CoRR, 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
ACM Comput. Surv., November, 2023
Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach.
CoRR, 2023
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges.
CoRR, 2022
CoRR, 2022
Structural Inference of Networked Dynamical Systems with Universal Differential Equations.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach.
Proceedings of the European Control Conference, 2022
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem.
Proceedings of the American Control Conference, 2022
2021
CoRR, 2021
The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM).
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 2021 American Control Conference, 2021
2020
CoRR, 2020
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning.
CoRR, 2020
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems.
CoRR, 2020
CoRR, 2020
Annu. Rev. Control., 2020
2018
Comput. Chem. Eng., 2018
2017
Optimal control of a laboratory binary distillation column via regionless explicit MPC.
Comput. Chem. Eng., 2017
2016
Proceedings of the 15th European Control Conference, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013