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Welcome to our comprehensive guide on Differentiable Programming In Hep. This tutorial will cover how to optimise various aspects of analyses -- such as cuts, binning, and learned observables like neural ...
Differentiable Programming In Hep Comprehensive Overview
Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ... e-Seminar on Scientific Machine Learning Speaker: Dr. Jan Drgona (PNNL) Abstract: In this talk, we will present a In this insightful talk, Valentin Churavy (University of Augsburg) explores
Summary & Highlights for Differentiable Programming In Hep
- Today we're joined by Patrick Heimbach, a professor at the University of Texas working at the intersection of ML and ...
- In the ideal world, we describe our models with recognizable mathematical expressions and directly fit those models to large data ...
- Lei Wang, Institute of Physics, Chinese Academy of Sciences ...
- --- Mathematical derivatives are vital components of many computing ...
- Behind Every Great Deep Learning Framework Is An Even Greater
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