Explainable AI via Learning to Optimize

29 April 2022

Papers citing "Explainable AI via Learning to Optimize"

12 / 12 papers shown

Title
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 43 0 0 28 Jan 2025
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development Raphael Fischer Magdalena Wischnewski Alexander van der Staay Katharina Poitz Christian Janiesch Thomas Liebig 52 0 0 21 Jan 2025
Recovering implicit physics model under real-world constraints Ayan Banerjee Sandeep K. S. Gupta PINN AI4CE 76 1 0 03 Dec 2024
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks Brandon Knutson Amandin Chyba Rabeendran Michael I. Ivanitskiy Jordan Pettyjohn Cecilia G. Diniz Behn Samy Wu Fung Daniel McKenzie LRM 44 2 0 03 Oct 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation Linghai Liu Shuaicheng Tong Lisa Zhao 21 1 0 03 Feb 2024
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 40 4 0 31 Jan 2023
Estimating a potential without the agony of the partition function E. Haber Moshe Eliasof L. Tenorio 33 2 0 19 Aug 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 61 69 0 09 Nov 2021
Music Source Separation with Deep Equilibrium Models Yuichiro Koyama Naoki Murata Stefan Uhlich Giorgio Fabbro Shusuke Takahashi Yuki Mitsufuji 31 5 0 13 Oct 2021
Operator Splitting for Learning to Predict Equilibria in Convex Games Daniel McKenzie Howard Heaton Qiuwei Li Samy Wu Fung Stanley Osher Wotao Yin 38 0 0 02 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 40 225 0 23 Mar 2021
SoK: Decentralized Finance (DeFi) Sam M. Werner Daniel Perez L. Gudgeon Ariah Klages-Mundt D. Harz William J. Knottenbelt 80 262 0 21 Jan 2021