Differentiable Programming In Hep

Summary

Behind Every Great Deep Learning Framework Is An Even Greater This tutorial will cover how to optimise various aspects of analyses -- such as cuts, binning, and learned observables neural ... Want to train programs to optimize themselves? In the ideal world, we describe our models with recognizable mathematical expressions and directly fit those models to large data ... Derivatives are at the heart of scientific itsatcuny.org/calendar/quantum-inspired-machine-learning Lei Wang, Institute of Physics, Chinese Academy of Sciences ... Code: github.com/yuanming-hu/difftaichi Note: please use Taichi version 0.4.1 or higher. Information about accessibility can ... STAMPS Workshop on Neural Simulation-Based Inference, October 5, 2025 Speaker: Patrick Heimbach (University of Texas at ... Friday Talks - 20260320 fridaytalks.github.io Speaker: A. René Geist andregeist.github.io/ Title: SoftJAX & SoftTorch: ... For more information about Stanford's Artificial Intelligence professional and graduate programs visit: stanford.io/ai ... Jan Drgona, Pacific Northwest National Laboratory July 10, 2024 Fourth Symposium on Machine Learning and Dynamical ... In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.