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 ...
- A presentation on back-propagation and automatic differentiation, and demonstration of how this method is used for calibration in ...
- Talk from HSF/IRIS-HEP Analysis Ecosystem 2 Workshop (https://indico.cern.ch/event/1125222/).
- In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
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Deep learning has led to encouraging successes in many challenging tasks. However, a deep neural model lacks interpretability ... This talk was presented as part of JuliaCon 2021. Abstract: Deep learning has grown steadily and there has been rising interest ... Derivatives are at the heart of scientific Behind Every Great Deep Learning Framework Is An Even Greater
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