Towards Deeper Understanding of Variational Autoencoding Models

28 February 2017

Papers citing "Towards Deeper Understanding of Variational Autoencoding Models"

38 / 38 papers shown

Title
The Quest for Early Detection of Retinal Disease: 3D CycleGAN-based Translation of Optical Coherence Tomography into Confocal Microscopy Xin Tian Nantheera Anantrasirichai Lindsay B. Nicholson A. Achim 27 1 0 07 Aug 2024
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs Kang-Hyun Lee G. Yun DiffM 19 2 0 13 Dec 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 21 4 0 05 Jun 2023
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 11 125 0 14 Sep 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 27 9 0 07 Jun 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 23 2 0 01 Mar 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 48 4 0 11 Feb 2022
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 40 4 0 17 Dec 2021
Challenging the Semi-Supervised VAE Framework for Text Classification G. Felhi Joseph Le Roux Djamé Seddah BDL 21 2 0 27 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 28 1 0 22 Sep 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 24 81 0 17 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 21 118 0 12 Jun 2021
Diverse Image Inpainting with Bidirectional and Autoregressive Transformers Yingchen Yu Fangneng Zhan Rongliang Wu Jianxiong Pan Kaiwen Cui Shijian Lu Feiying Ma Xuansong Xie C. Miao ViT 29 150 0 26 Apr 2021
High-Fidelity Pluralistic Image Completion with Transformers Ziyu Wan Jingbo Zhang Dongdong Chen Jing Liao ViT 28 231 0 25 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 36 480 0 08 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 24 99 0 06 Mar 2021
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 13 4 0 17 Mar 2020
ML4Chem: A Machine Learning Package for Chemistry and Materials Science Muammar El Khatib W. A. Jong VLM 16 6 0 02 Mar 2020
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 9 38 0 21 Dec 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip H. S. Torr DRL 19 266 0 08 Nov 2019
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S. Berchuck Felipe A. Medeiros S. Mukherjee BDL 21 3 0 24 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier Yao Li DRL 21 0 0 17 Aug 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 16 59 0 13 Jul 2019
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders Adrien Bitton P. Esling Antoine Caillon Martin Fouilleul 28 10 0 12 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 17 269 0 29 Mar 2019
The Variational Deficiency Bottleneck P. Banerjee Guido Montúfar 13 7 0 27 Oct 2018
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation Alexander H. Liu Yen-Cheng Liu Yu-Ying Yeh Y. Wang 23 213 0 05 Sep 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 20 85 0 14 Jun 2018
Performing Co-Membership Attacks Against Deep Generative Models Kin Sum Liu Chaowei Xiao Bo-wen Li Jie Gao AAML MIACV 16 58 0 24 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 25 243 0 07 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning Alex Kuefler Mykel J. Kochenderfer 19 24 0 13 Oct 2017
Discriminative Regularization for Generative Models Alex Lamb Vincent Dumoulin Aaron Courville DRL 37 65 0 09 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016