v1v2v3v4 (latest)

Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

14 April 2022

Papers citing "Diagnosing and Fixing Manifold Overfitting in Deep Generative Models"

50 / 102 papers shown

Title
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell Gabriel Loaiza-Ganem 132 9 0 31 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura Beatrice Achilli Gianluigi Silvestri Carlo Lucibello L. Ambrogioni DiffM 89 10 0 08 Oct 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 107 5 0 27 Sep 2023
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 464 6,067 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,916 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 92 125 0 14 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 493 15,768 0 20 Dec 2021
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk OOD 98 30 0 15 Oct 2021
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini Gabriel Loaiza-Ganem OODD 86 16 0 22 Sep 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 73 32 0 09 Jun 2021
Rectangular Flows for Manifold Learning Anthony L. Caterini Gabriel Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 68 47 0 02 Jun 2021
Density estimation on low-dimensional manifolds: an inflation-deflation approach Christian Horvat J. Pfister 52 15 0 25 May 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 74 17 0 09 May 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 273 0 18 Apr 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 178 741 0 02 Apr 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 59 23 0 28 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 125 503 0 08 Mar 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 48 50 0 20 Feb 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 180 516 0 14 Jan 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 224 315 0 08 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 74 50 0 07 Dec 2020
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 353 6,566 0 26 Nov 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 81 160 0 28 Oct 2020
Representational aspects of depth and conditioning in normalizing flows Frederic Koehler Viraj Mehta Andrej Risteski TPM 50 24 0 02 Oct 2020
Solving inverse problems using conditional invertible neural networks G. A. Padmanabha N. Zabaras AI4CE 51 64 0 31 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 718 18,310 0 19 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 98 126 0 18 Jun 2020
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 156 14,995 0 18 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Wang Roger C. Grosse J. Jacobsen 56 94 0 16 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 101 278 0 15 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 170 1,887 0 11 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 880 42,379 0 28 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks Minyoung Huh Richard Y. Zhang Jun-Yan Zhu S. Paris Aaron Hertzmann 53 111 0 04 May 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 92 163 0 31 Mar 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 140 185 0 27 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 104 81 0 10 Mar 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 62 56 0 11 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 84 157 0 06 Feb 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 547 42,591 0 03 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 321 5,828 0 03 Dec 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 51 62 0 09 Oct 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 103 84 0 16 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 58 28 0 25 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 188 778 0 10 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 207 726 0 07 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 114 378 0 06 Jun 2019
Scaling Autoregressive Video Models Dirk Weissenborn Oscar Täckström Jakob Uszkoreit DiffM VGen 94 204 0 06 Jun 2019