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PI Seminar Series: Differentiable Programing for Data-Driven Modeling, Optimization, and Control
What is Differentiable Programming
A Tour of the differentiable programming landscape with Flux.jl | Dhairya Gandhi | JuliaCon 2021
The principles behind Differentiable Programming - Erik Meijer
Neuromancer: Differentiable Programming Library for Data-Driven Modeling and Control
Data-Driven Control: Overview
Tutorial 2 (Part 1): Scientific Machine Learning for Modeling, Optimization, and Control
Differentiable Optimization as Lingua Franca for Scientific Machine Learning - Sandia MLDL Workshop
Lesia Mitridati: Stochastic and Data-Driven Optimization (1/2)
TrAC SciML Workshop 2022 | Invited Talk 2
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2
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Last Updated: September 21, 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 ... e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a 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? This talk was presented as part of JuliaCon 2021. Abstract: Deep learning has grown steadily and there has been rising interest ... Behind Every Great Deep Learning Framework Is An Even Greater Virtual Workshop Hosted by TAMIDS Digital Twin Lab (1/28/2025) Event: DTU Summer School 2023 on "Future Energy Systems: Advances in OR and AI", 19-23 June 2023, Copenhagen, Denmark ... Invited Talk - Jan Drgona Title: Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern
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