On Correctness of Automatic Differentiation for Non-Differentiable Functions

12 June 2020

Papers citing "On Correctness of Automatic Differentiation for Non-Differentiable Functions"

6 / 6 papers shown

Title
BrowNNe: Brownian Nonlocal Neurons & Activation Functions Sriram Nagaraj Truman Hickok 31 0 0 21 Jun 2024
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters Wonyeol Lee Sejun Park A. Aiken PINN 18 6 0 31 Jan 2023
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 23 22 0 31 May 2022
An Algebraic Approach to Learning and Grounding Johanna Björklund Adam Dahlgren Lindström F. Drewes 24 0 0 06 Apr 2022
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis Jacob Leygonie Mathieu Carrière Théo Lacombe S. Oudot 11 9 0 01 Sep 2021
The structure of conservative gradient fields A. Lewis Tonghua Tian AI4CE 17 8 0 03 Jan 2021