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Last Updated: June 15, 2026
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Differentiable Programming for Data-driven Modeling, Optimization, and Control
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Differentiable Programming for Modeling and Control of Dynamical Systems
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Differentiable Programming for Data-driven Modeling, Optimization, and Control
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PI Seminar Series: Differentiable Programing for Data-Driven Modeling, Optimization, and Control
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Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ... e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a Ján Drgoňa, PNNL, Johns Hopkins University (JHU) 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 ... Virtual Workshop Hosted by TAMIDS Digital Twin Lab (1/28/2025) This tutorial will cover how to optimise various aspects of analyses -- such as cuts, binning, and learned observables like neural ...
Talk recorded on September 26th 2023 Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations ... Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations (NeuroMANCER) is an open-source ... Chris Rackauckas (MIT), "Generalized Physics-Informed Learning through Language-Wide
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Differentiable Programming for Data-driven Modeling, Optimization, and Control
Differentiable Programming for Modeling and Control of Dynamical Systems
Differentiable Programming for Data-driven Modeling, Optimization, and Control
PI Seminar Series: Differentiable Programing for Data-Driven Modeling, Optimization, and Control
Neuromancer: Differentiable Programming Library for Data-Driven Modeling and Control
DDPS | Differentiable Programming for Modeling and Control of Dynamical Systems by Jan Drgona
Scientific Machine Learning for Modeling, Optimization, and Control - Ján Drgoňa
Differentiable Optimization as Lingua Franca for Scientific Machine Learning - Sandia MLDL Workshop
Differentiable Programming with Julia by Mike Innes
Differentiable Programming
Differentiable and Bilevel Optimization for Control in Robotics
Differentiable Programming for End-to-end Optimization of Experiments by Tommaso Dorigo
PyHEP2022 Analysis Optimisation with Differentiable Programming
Ján Drgoňa - Neuromancer: Differentiable Programming Library for Data-driven Modelling and Control
Models as Code: Differentiable Programming with Zygote
Jan Drgona - Neuromancer - Differentiable Programming Library for Data-driven Modelling and Control
