Telescoping Density-Ratio Estimation

22 June 2020

Kai Xu

Papers citing "Telescoping Density-Ratio Estimation"

30 / 30 papers shown

Title
Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation Wei-Neng Chen Shigui Li J. Li Junmei Yang John Paisley Delu Zeng DiffM OT 66 0 0 08 May 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 53 0 0 28 Jan 2025
Your copula is a classifier in disguise: classification-based copula density estimation David Huk Mark Steel Ritabrata Dutta 35 0 0 05 Nov 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 53 0 0 22 Jul 2024
Information Theoretic Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Massimo Gallo Pietro Michiardi 72 0 0 31 May 2024
Transfer Learning for Diffusion Models Yidong Ouyang Liyan Xie Hongyuan Zha Guang Cheng DiffM 57 2 0 27 May 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 49 1 0 21 Feb 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 40 1 0 15 Feb 2024
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 17 14 0 01 Jun 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 32 1 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 37 4 0 19 May 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 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 16 28 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 35 85 0 28 Nov 2022
Pitfalls of Gaussians as a noise distribution in NCE Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 20 4 0 01 Oct 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 69 24 0 28 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,302 0 02 Sep 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 21 7 0 29 Apr 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
A Unified Framework for Multi-distribution Density Ratio Estimation Lantao Yu Yujia Jin Stefano Ermon 11 4 0 07 Dec 2021
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 26 9 0 28 Oct 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 16 22 0 05 Jul 2021
Mandoline: Model Evaluation under Distribution Shift Mayee F. Chen Karan Goel N. Sohoni Fait Poms Kayvon Fatahalian Christopher Ré 28 69 0 01 Jul 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 24 29 0 25 Jun 2021
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 33 9 0 11 Dec 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 179 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 214 165 0 18 Oct 2019
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016