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Jan Drgona

Identifiers

  • name variant Jan Drgona 0.60 · backfill

Papers (23)

  1. Safe Physics-Informed Machine Learning for Dynamics and Control eess.SY · 2025 · author #1
  2. Efficient Primal Heuristics for Mixed Binary Quadratic Programs Using Suboptimal Rounding Guidance math.OC · 2025 · author #3
  3. Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach cs.RO · 2024 · author #3
  4. Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming cs.LG · 2024 · author #4
  5. Learning Neural Differential Algebraic Equations via Operator Splitting cs.LG · 2024 · author #5
  6. A Robust, Efficient Predictive Safety Filter eess.SY · 2023 · author #2
  7. Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach cs.LG · 2023 · author #4
  8. Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory cs.LG · 2023 · author #4
  9. Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning eess.SY · 2023 · author #2
  10. Machine Learning for Smart and Energy-Efficient Buildings cs.LG · 2022 · author #7
  11. Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach eess.SY · 2022 · author #2
  12. Structural Inference of Networked Dynamical Systems with Universal Differential Equations math.DS · 2022 · author #4
  13. Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach eess.SY · 2022 · author #3
  14. Neuro-physical dynamic load modeling using differentiable parametric optimization eess.SY · 2022 · author #2
  15. Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem eess.SY · 2022 · author #2
  16. Deep Learning Explicit Differentiable Predictive Control Laws for Buildings eess.SY · 2021 · author #1
  17. Constrained Block Nonlinear Neural Dynamical Models math.DS · 2021 · author #5
  18. Physics-Informed Neural State Space Models via Learning and Evolution cs.NE · 2020 · author #2
  19. Dissipative Deep Neural Dynamical Systems cs.LG · 2020 · author #1
  20. Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics cs.LG · 2020 · author #1
  21. Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems eess.SY · 2020 · author #1
  22. Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees eess.SY · 2020 · author #1
  23. Constrained Neural Ordinary Differential Equations with Stability Guarantees eess.SY · 2020 · author #2

Mentions

  • 2403.12938 #5 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2501.05052 #3 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2504.12952 #1 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2409.13817 #3 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2311.08496 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2404.00882 #4 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2310.13110 #4 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2308.13011 #4 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2304.10702 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2207.04962 #4 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2211.14889 #7 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2208.02319 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2011.13492 #1 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2203.10582 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2203.14114 #3 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2203.08984 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2004.11184 #1 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2107.11843 #1 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2011.03699 #1 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2101.01864 #5 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2011.13497 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2004.10883 #2 · arxiv_oai · confidence 0.70 Jan Drgona
  • 2011.05987 #1 · arxiv_oai · confidence 0.70 Jan Drgona

Frequent Coauthors