Telescoping Density-Ratio Estimation

22 June 2020

Kai Xu

Papers citing "Telescoping Density-Ratio Estimation"

21 / 21 papers shown

Title
Dequantified Diffusion Schrödinger Bridge for Density Ratio Estimation Wei-Neng Chen Shigui Li J. Li Junmei Yang John Paisley Delu Zeng DiffM OT 62 0 0 08 May 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 62 0 0 04 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 48 0 0 28 Jan 2025
Your copula is a classifier in disguise: classification-based copula density estimation David Huk Mark Steel Ritabrata Dutta 23 0 0 05 Nov 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 38 0 0 22 Jul 2024
Transfer Learning for Diffusion Models Yidong Ouyang Liyan Xie Hongyuan Zha Guang Cheng DiffM 55 2 0 27 May 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 35 1 0 15 Feb 2024
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 10 14 0 01 Jun 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 27 1 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 32 4 0 19 May 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 35 3 0 20 Feb 2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification Akinori F. Ebihara Taiki Miyagawa K. Sakurai Hitoshi Imaoka 19 2 0 20 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 11 27 0 06 Feb 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 19 84 0 28 Nov 2022
Pitfalls of Gaussians as a noise distribution in NCE Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 13 4 0 01 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 60 24 0 28 Sep 2022
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 13 9 0 28 Oct 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni Nouha Dziri Hannes Schulz Geoffrey J. Gordon Philip Bachman Rémi Tachet des Combes SSL 22 29 0 25 Jun 2021
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 171 42 0 06 Mar 2020
A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong Cyprien de Masson dÁutume Wang Ling Lei Yu Zihang Dai Dani Yogatama SSL 212 165 0 18 Oct 2019
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 210 1,156 0 24 Oct 2016