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Density Ratio Estimation via Infinitesimal Classification

22 November 2021

Papers citing "Density Ratio Estimation via Infinitesimal Classification"

40 / 40 papers shown

Title
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 124 0 0 04 Feb 2025
Your copula is a classifier in disguise: classification-based copula density estimation David Huk Mark Steel Ritabrata Dutta 175 0 0 05 Nov 2024
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching Daniel J. Williams Leyang Wang Qizhen Ying Song Liu Mladen Kolar 81 2 0 14 Oct 2024
Operator-Informed Score Matching for Markov Diffusion Models Zheyang Shen Huihui Wang Marina Riabiz Chris J. Oates DiffM 123 0 0 13 Jun 2024
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 100 5 0 19 May 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 62 24 0 05 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 181 1,130 0 01 Jul 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 349 3,702 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 160 670 0 22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 344 6,480 0 26 Nov 2020
Adaptive Path Sampling in Metastable Posterior Distributions Yuling Yao Collin Cademartori Aki Vehtari Andrew Gelman TPM 59 6 0 01 Sep 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 96 49 0 24 Aug 2020
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 144 96 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 650 18,096 0 19 Jun 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 124 2,421 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 258 1,161 0 16 Jun 2020
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 520 42,449 0 03 Dec 2019
Understanding the Limitations of Variational Mutual Information Estimators Jiaming Song Stefano Ermon SSL DRL 74 203 0 14 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 183 777 0 10 Jun 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 113 418 0 17 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 106 812 0 16 May 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 66 106 0 09 Mar 2019
Formal Limitations on the Measurement of Mutual Information David A. McAllester K. Stratos SSL 68 276 0 10 Nov 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 150 873 0 02 Oct 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 327 10,349 0 10 Jul 2018
Conditional Noise-Contrastive Estimation of Unnormalised Models Ciwan Ceylan Michael U. Gutmann 59 42 0 10 Jun 2018
Group Normalization Yuxin Wu Kaiming He 231 3,669 0 22 Mar 2018
Learning Weighted Representations for Generalization Across Designs Fredrik D. Johansson Nathan Kallus Uri Shalit David Sontag OOD 68 87 0 23 Feb 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 194 1,280 0 12 Jan 2018
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 154 1,656 0 02 Jun 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 105 485 0 10 Feb 2016
The sample size required in importance sampling S. Chatterjee P. Diaconis 116 191 0 04 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 6,949 0 12 Mar 2015
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing Yuri Burda Roger C. Grosse Ruslan Salakhutdinov TPM 144 67 0 30 Dec 2014
Bregman divergence as general framework to estimate unnormalized statistical models Michael U. Gutmann J. Hirayama 77 80 0 14 Feb 2012
Relative Density-Ratio Estimation for Robust Distribution Comparison M. Yamada Taiji Suzuki Takafumi Kanamori Hirotaka Hachiya Masashi Sugiyama 92 221 0 23 Jun 2011