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Differentiable Programming Tensor Networks - Lei Wang
Differentiable Programming (Part 1)
Differentiable Programming for Modeling and Control of Dynamical Systems
Differentiable Programming (Part 2)
QHack 2021: Maria Schuld—Quantum Differentiable Programming
Patrick Heimbach: Differentiable Programming For Hybrid Data Assimilation & Machine Learning
OOPSLA21 teaser: How to Speed Up Differentiable Programming by 300X
AI A Journey into Differentiable Programming
A Simple Differentiable Programming Language
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Last Updated: September 21, 2026
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Behind Every Great Deep Learning Framework Is An Even Greater This talk was presented as part of JuliaCon 2021. Abstract: Deep learning has grown steadily and there has been rising interest ... Yet another example from my demonstrative project on In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Want to train programs to optimize themselves? For more information about Stanford's Artificial Intelligence professional and graduate programs visit: stanford.io/ai ... itsatcuny.org/calendar/quantum-inspired-machine-learning Lei Wang, Institute of Physics, Chinese Academy of Sciences ... Derivatives are at the heart of scientific e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a Maria Schuld, Senior Researcher at Xanadu and the University of KwaZulu-Natal, speaks at QHack 2021. STAMPS Workshop on Neural Simulation-Based Inference, October 5, 2025 Speaker: Patrick Heimbach (University of Texas at ... Presenter: Gordon Plotkin Presented at POPL'2020.