JD
Ján Drgoňa
cs.SYeess.SYcs.LGmath.OCcs.NEmath.DScs.AIcs.ROcs.CEcs.PL
On Valency
published · living versionsW_kj7sjf6f·v1 · currentpublished
FIDE: Fiber-Informed Differentiable Experimental Design for Reference-Relative Law Dynamics
with Pietro Zanotta
1 version
W_h6fmswf3·v1published
Preprints & journals
58 papers in the corpus · 2020–2026Model Predictive Control for Safety-Critical Systems Using Taylor's Theorem with Lagrange Remainder2610.06976v1 · Shuo Liu, Liang Wu, Wei Xiao et al.2026 · 0 citationsarXiv
lapanda: A Matrix-Free Differentiable Solver for Nonconvex Constrained Optimization Layers2609.33630v1 · Yuankun Chen, Zifei Nie, Kangyu Lin et al.2026 · 0 citationsarXiv
DR-MPC: Fast and Feasible Dynamics-Relaxed Model-Predictive Control for Legged Locomotion2609.20035v1 · Run Wang, Alapati Tuerxun, Shuo Liu et al.2026 · 0 citationsarXiv
End-to-End Battery Dispatch with Exact Rainflow Degradation via Mixed-Integer Differentiable Predictive Control2609.12968v1 · Eshagh Safarzadeh Ravajiri, Jan Drgona, Mahdi Mehrtash et al.2026 · 0 citationsarXivon Valency
Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and Manipulation2606.05687v1 · Junheng Li, Liang Wu, Sergio A. Esteban et al.2026 · 0 citationsarXiv
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs2604.23053v3 · Weimin Huang, Natalie M. Isenberg, J'an Drgona et al.2026 · 0 citationsarXiv
Stability Enhanced Gaussian Process Variational Autoencoders2604.09331v2 · Carl R. Richardson, Jichen Zhang, Ethan King et al.2026 · 0 citationsarXiv
Fixed-time-stable ODE Representation of Lasso2604.02069v1 · Liang Wu, Yunhong Che, Wallace Gian Yion Tan et al.2026 · 0 citationsarXiv
Polynomial Parametric Koopman Operators for Stochastic MPC2604.00935v1 · Efstathios Iliakis, Wallace Gian Yion Tan, Liang Wu et al.2026 · 0 citationsarXiv
SCORE: Statistical Certification of Regions of Attraction via Extreme Value Theory2603.29658v2 · Pietro Zanotta, Panos Stinis, J'an Drgona2026 · 0 citationsarXiv
Data Center Chiller Plant Optimization via Mixed-Integer Nonlinear Differentiable Predictive Control2603.28323v1 · J'an Boldock'y, Cary Faulkner, Elad Michael et al.2026 · 0 citationsarXiv
L2O-CCG: Adversarial Learning with Set Generalization for Adaptive Robust Optimization2603.22548v1 · Zhiyi Zhou, J'an Drgona, Yury Dvorkin2026 · 0 citationsarXiv
Koopman-Based Linear MPC for Safe Control using Control Barrier Functions2603.21070v4 · Shuo Liu, Liang Wu, Dawei Zhang et al.2026 · 0 citationsarXiv
Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates2602.18331v1 · Liang Wu, Wallace Gian Yion Tan, Richard D. Braatz et al.2026 · 0 citationsarXiv
Time-Certified and Efficient NMPC via Koopman Operator2602.15596v1 · Liang Wu, Yunhong Che, Bo Yang et al.2026 · 0 citationsarXiv
CBDs: Differentiable Causal Block Diagrams2602.07581v1 · Thomas Beckers, J'an Drgona, Truong X. Nghiem2026 · 0 citationsarXiv
MPC: A Parallel-in-horizon and Construction-free NMPC Solver2601.14414v2 · Liang Wu, Bo Yang, Junheng Li et al.2026 · 0 citationsarXiv
Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control2601.11901v1 · Liang Wu, Wallace Gian Yion Tan, Leqi Zhou et al.2026 · 0 citationsarXiv
Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning2512.20880v2 · Honghui Zheng, Pietro Favaro, Yury Dvorkin et al.2025 · 0 citationsarXiv
Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators2511.08992v3 · Dibakar Roy Sarkar, J'an Drgona, Somdatta Goswami2025 · 0 citationsarXiv
Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow2511.11677v1 · Shimiao Li, Aaron Tuor, Draguna Vrabie et al.2025 · 0 citationsarXiv
A Time-certified Predictor-corrector IPM Algorithm for Box-QP2510.04467v1 · Liang Wu, Yunhong Che, Richard D. Braatz et al.2025 · 0 citationsarXiv
Learning to Solve Constrained Bilevel Control Co-Design Problems2507.09050v2 · James Kotary, Himanshu Sharma, Ethan King et al.2025 · 0 citationsarXiv
Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control2506.19646v1 · J'an Boldock'y, Shahriar Dadras Javan, Martin Gulan et al.2025 · 0 citationsarXiv
Safe Physics-Informed Machine Learning for Dynamics and Control2504.12952v2 · Jan Drgona, Truong X. Nghiem, Thomas Beckers et al.2025 · 11 citationsarXiv
Physics-informed machine learning for building performance simulation-A review of a nascent field2504.00937v3 · Zixin Jiang, Xuezheng Wang, Han Li et al.2025 · 77 citationsAdvances in Applied Energy Volume 18, June 2025, 100223
Efficient Primal Heuristics for Mixed Binary Quadratic Programs Using Suboptimal Rounding Guidance2501.05052v2 · Weimin Huang, Natalie M. Isenberg, Jan Drgona et al.2025 · 0 citationsarXiv
Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees2410.11061v10 · Bo Tang, Elias B. Khalil, J'an Drgona2024 · 0 citationsarXiv
Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach2409.13817v1 · John Viljoen, Wenceslao Shaw Cortez, Jan Drgona et al.2024 · 0 citationsarXiv
Differentiable Predictive Control for Large-Scale Urban Road Networks2406.10433v1 · Renukanandan Tumu, Wenceslao Shaw Cortez, J'an Drgona et al.2024 · 0 citationsarXiv
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming2404.00882v1 · Ethan King, James Kotary, Ferdinando Fioretto et al.2024 · 0 citationsarXiv
Learning Neural Differential Algebraic Equations via Operator Splitting2403.12938v3 · James Koch, Madelyn Shapiro, Himanshu Sharma et al.2024 · 0 citationsarXiv
A Robust, Efficient Predictive Safety Filter2311.08496v2 · Wenceslao Shaw Cortez, Jan Drgona, Draguna Vrabie et al.2023 · 0 citationsarXiv
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach2310.13110v1 · Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana et al.2023 · 2 citationsarXiv
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory2308.13011v1 · Karthik Somayaji NS, Yu Wang, Malachi Schram et al.2023 · 0 citationsarXiv
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems2306.13867v1 · Truong X. Nghiem, J'an Drgona, Colin Jones et al.2023 · 70 citationsarXiv
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning2304.10702v2 · Shimiao Li, Jan Drgona, Shrirang Abhyankar et al.2023 · 1 citationarXiv
Structural inference of networked dynamical systems with universal differential equations.36859213 · Koch, J, Chen, Z, Tuor, A et al.2023 · 11 citationsChaos (Woodbury, N.Y.). 2023;33(2):023103
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges2212.13631v5 · Feras A. Batarseh, Priya L. Donti, J'an Drgona et al.2022 · 6 citationsarXiv
Machine Learning for Smart and Energy-Efficient Buildings2211.14889v1 · Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan et al.2022 · 78 citationsarXiv
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles2208.07333v1 · Wenceslao Shaw Cortez, Soumya Vasisht, Aaron Tuor et al.2022 · 2 citationsarXiv
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach2208.02319v1 · Wenceslao Shaw Cortez, Jan Drgona, Aaron Tuor et al.2022 · 11 citationsarXiv
Neural Lyapunov Differentiable Predictive Control2205.10728v1 · Sayak Mukherjee, J'an Drgona, Aaron Tuor et al.2022 · 15 citations2022 IEEE 61st Conference on Decision and Control (CDC)
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach2203.14114v1 · Subhrajit Sinha, Sai Pushpak Nandanoori, Jan Drgona et al.2022 · 16 citationsarXiv
Neuro-physical dynamic load modeling using differentiable parametric optimization2203.10582v1 · Shrirang Abhyankar, Jan Drgona, Andrew August et al.2022 · 1 citationarXiv
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem2203.08984v1 · Ethan King, Jan Drgona, Aaron Tuor et al.2022 · 10 citationsarXiv
Learning Stochastic Parametric Differentiable Predictive Control Policies2203.01447v2 · J'an Drgona, Sayak Mukherjee, Aaron Tuor et al.2022 · 6 citationsarXiv
Neural Ordinary Differential Equations for Nonlinear System Identification2203.00120v2 · Aowabin Rahman, J'an Drgona, Aaron Tuor et al.2022 · 37 citationsarXiv
On the Stochastic Stability of Deep Markov Models2111.04601v1 · J'an Drgona, Sayak Mukherjee, Jiaxin Zhang et al.2021 · 4 citationsarXiv
Constructing Neural Network-Based Models for Simulating Dynamical Systems2111.01495v2 · Christian M\oldrup Legaard, Thomas Schranz, Gerald Schweiger et al.2021 · 135 citationsarXiv
Career total: 115 works. 58 are in this corpus.Showing the 50 most recent.
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