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Last Updated: June 15, 2026
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This tutorial will cover how to optimise various aspects of analyses -- such as cuts, binning, and learned observables like neural ... In this insightful talk, Valentin Churavy (University of Augsburg) explores Today we're joined by Patrick Heimbach, a professor at the University of Texas working at the intersection of ML and ... Lei Wang, Institute of Physics, Chinese Academy of Sciences ... Behind Every Great Deep Learning Framework Is An Even Greater e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a
In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This video was recorded at Scala Days Berlin 2018 Follow us on or visit our website for more information ... Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ... In the ideal world, we describe our models with recognizable mathematical expressions and directly fit those models to large data ... This video was recorded at Scala Days New York 2018 Follow us on or visit our website for more information ... Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ...
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Differentiable Programming in HEP
Differentiable Programming in HEP
Differentiable Programming (Part 1)
PyHEP2022 Analysis Optimisation with Differentiable Programming
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