Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity

3 February 2023

Papers citing "Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity"

28 / 28 papers shown

Title
Machine Fault Classification using Hamiltonian Neural Networks Jer-Sheng Shen Jawad Chowdhury Sourav Banerjee G. Terejanu AI4CE 38 3 0 04 Jan 2023
Bayesian Inference with Latent Hamiltonian Neural Networks Somayajulu L. N. Dhulipala Yifeng Che Michael D. Shields BDL 73 3 0 12 Aug 2022
Continuous Methods : Hamiltonian Domain Translation Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 44 1 0 08 Jul 2022
Learning Hamiltonians of constrained mechanical systems E. Celledoni A. Leone Davide Murari B. Owren AI4CE 116 18 0 31 Jan 2022
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 158 15,066 0 18 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,718 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 241 226 0 29 Nov 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 79 218 0 30 Sep 2019
Equivariant Hamiltonian Flows Danilo Jimenez Rezende S. Racanière I. Higgins Peter Toth 78 64 0 30 Sep 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 81 447 0 26 Sep 2019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks Hugo Berard Gauthier Gidel Amjad Almahairi Pascal Vincent Simon Lacoste-Julien GAN 56 64 0 11 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 133 899 0 04 Jun 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 106 1,022 0 26 Feb 2019
Mixture Density Generative Adversarial Networks Hamid Eghbalzadeh Werner Zellinger Gerhard Widmer GAN 69 39 0 31 Oct 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 114 1,865 0 31 May 2018
Fast cosmic web simulations with generative adversarial networks Andrés C. Rodríguez T. Kacprzak Aurelien Lucchi A. Amara R. Sgier J. Fluri Thomas Hofmann Alexandre Réfrégier GAN AI4CE 78 90 0 27 Jan 2018
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 102 335 0 12 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 289 8,928 0 25 Aug 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 85 2,114 0 17 Jan 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,198 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,035 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 142 2,269 0 30 Oct 2014
MCMC using Hamiltonian dynamics Radford M. Neal 302 3,282 0 09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 189 4,315 0 18 Nov 2011