Exploring Differentiable Programming Via Differentiable Search Of Program Structures
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- Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ...
- This tutorial will cover how to optimise various aspects of analyses -- such as cuts, binning, and learned observables like neural ...
- 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.
In-Depth Information on Differentiable Programming Via Differentiable Search Of Program Structures
Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ... Talk from HSF/IRIS-HEP Analysis Ecosystem 2 Workshop (https://indico.cern.ch/event/1125222/). Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... Friday Talks - 20260320 https://fridaytalks.github.io Speaker: A. René Geist https://andregeist.github.io/ Title: SoftJAX & SoftTorch: ...
Differentiable programming
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