Papers citing 'Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming'

Title
Auto-Differentiation of Relational Computations for Very Large Scale Machine LearningInternational Conference on Machine Learning (ICML), 2023 Yu-Shuen Tang Zhimin Ding Dimitrije Jankov Binhang Yuan Daniel Bourgeois C. Jermaine BDL 254 7 0 31 May 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable ParametersInternational Conference on Machine Learning (ICML), 2023 Wonyeol Lee Sejun Park A. Aiken PINN 150 6 0 31 Jan 2023
Randomized Automatic Differentiation Deniz Oktay N. McGreivy Joshua Aduol Alex Beatson Ryan P. Adams ODL 124 28 0 20 Jul 2020
On Correctness of Automatic Differentiation for Non-Differentiable FunctionsNeural Information Processing Systems (NeurIPS), 2020 Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 166 44 0 12 Jun 2020
Learning to Control PDEs with Differentiable PhysicsInternational Conference on Learning Representations (ICLR), 2020 Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 224 204 0 21 Jan 2020
A Simple Differentiable Programming Language M. Abadi G. Plotkin 163 70 0 11 Nov 2019
Deployable probabilistic programmingSIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software (Onward!), 2019 David Tolpin TPM 174 7 0 20 Jun 2019
Relay: A High-Level Compiler for Deep Learning Jared Roesch Steven Lyubomirsky Marisa Kirisame Logan Weber Josh Pollock Luis Vega Ziheng Jiang Tianqi Chen T. Moreau Zachary Tatlock 134 21 0 17 Apr 2019
Least Squares Auto-Tuning Shane T. Barratt Stephen P. Boyd MoMe 135 26 0 10 Apr 2019
On the Equivalence of Automatic and Symbolic Differentiation Soeren Laue 107 6 0 05 Apr 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation EraInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 N. Durrande Vincent Adam L. Bordeaux Stefanos Eleftheriadis J. Hensman 148 26 0 26 Feb 2019