Introduction to Lafi 22 Probabilistic And Differentiable Programming In Scientific Simulators
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Lafi 22 Probabilistic And Differentiable Programming In Scientific Simulators Comprehensive Overview
Talk from HSF/IRIS-HEP Analysis Ecosystem 2 Workshop (https://indico.cern.ch/event/1125222/). A talk by Dr Chris Rackauckas, hosted by Leeds Institute for Data Analytics' (LIDA) Want to train programs to optimize themselves?
Abstract from Speaker: In this talk I will focus on the possibilities that arise from recent advances in the area of deep learning for ...
Summary & Highlights for Lafi 22 Probabilistic And Differentiable Programming In Scientific Simulators
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- This tutorial will cover how to optimise various aspects of analyses -- such as cuts, binning, and learned observables like neural ...
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- Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ...
- e-Seminar on
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