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Differentiable Programming for Modeling and Control of Dynamical Systems
Neuromancer: Differentiable Programming Library for Data-Driven Modeling and Control
DDPS | Differentiable Programming for Modeling and Control of Dynamical Systems by Jan Drgona
Learning Stochastic Parametric Differentiable Predictive Control Policies
Differentiable Optimization as Lingua Franca for Scientific Machine Learning - Sandia MLDL Workshop
Scientific Machine Learning for Modeling, Optimization, and Control - Ján Drgoňa (17.11.2025)
ESIC Seminar Drgona April 30
Coarsening Optimization for Differentiable Programming
Data-Driven Control with MATLAB and Simulink
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Last Updated: October 31, 2026
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Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ... Ján Drgoňa, PNNL, Johns Hopkins University (JHU) drgona.github.io/ Abstract: This talk will present a different ... Welcome to the Param-Intelligence (PI) Seminar Series, led by Dr. Ameya D. Jagtap. We had the honor of hosting Dr. Ján Drgoňa ... Want to train programs to optimize themselves? e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a For more information about Stanford's Artificial Intelligence professional and graduate programs visit: stanford.io/ai ... Virtual Workshop Hosted by TAMIDS Digital Twin Lab (1/28/2025) Description: In this talk, we will present a About: The problem of synthesizing stochastic explicit model predictive Differentiable Programming for Data-driven Modeling
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