Diffeomorphic Counterfactuals with Generative Models

Diffeomorphic Counterfactuals with Generative Models

10 June 2022

Ann-Kathrin Dombrowski

Klaus-Robert Muller

Papers citing "Diffeomorphic Counterfactuals with Generative Models"

13 / 13 papers shown

Title
RIE-SenseNet: Riemannian Manifold Embedding of Multi-Source Industrial Sensor Signals for Robust Pattern Recognition Jiaju Kang Puyu Han Yang Chun Xu Wang Luqi Gong 68 0 0 04 Feb 2025
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 50 0 0 10 Jun 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 27 2 0 27 May 2024
D-Flow: Differentiating through Flows for Controlled Generation Heli Ben-Hamu Omri Puny Itai Gat Brian Karrer Uriel Singer Y. Lipman 35 23 0 21 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Jakub Marecek TPM 65 0 0 25 Jan 2024
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 43 17 0 30 Dec 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 487 0 01 Feb 2022
Inverse design of 3d molecular structures with conditional generative neural networks Niklas W. A. Gebauer M. Gastegger Stefaan S. P. Hessmann Klaus-Robert Muller Kristof T. Schütt AI4CE 184 162 0 10 Sep 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects Oliver T. Unke Stefan Chmiela M. Gastegger Kristof T. Schütt H. E. Sauceda K. Müller 142 244 0 01 May 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 74 60 0 05 Sep 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 174 302 0 21 May 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016