Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,572 papers shown

Title
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 51 7 0 03 Mar 2022
PetsGAN: Rethinking Priors for Single Image Generation Zicheng Zhang Yinglu Liu Congying Han Hailin Shi Tiande Guo Bo Zhou GAN 21 21 0 03 Mar 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 32 15 0 02 Mar 2022
Code Smells in Machine Learning Systems Jiri Gesi Siqi Liu Jiawei Li Iftekhar Ahmed Nachiappan Nagappan David Lo E. Almeida Pavneet Singh Kochhar Lingfeng Bao 20 13 0 02 Mar 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 31 2 0 01 Mar 2022
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders M. Touranakou N. Chernyavskaya Javier Mauricio Duarte Dimitrios Gunopulos Raghav Kansal B. Orzari M. Pierini T. Tomei J. Vlimant 22 18 0 01 Mar 2022
Data-efficient learning of object-centric grasp preferences Yoann Fleytoux Anji Ma S. Ivaldi Jean-Baptiste Mouret 30 5 0 01 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin Lars Maaløe Christian Igel BDL AI4TS SSL 24 11 0 01 Mar 2022
Uncertainty categories in medical image segmentation: a study of source-related diversity Luke Whitbread M. Jenkinson UD UQCV 41 3 0 01 Mar 2022
Resolving label uncertainty with implicit posterior models Esther Rolf Nikolay Malkin Alexandros Graikos A. Jojic Caleb Robinson Nebojsa Jojic UQCV 38 10 0 28 Feb 2022
"If you could see me through my eyes": Predicting Pedestrian Perception Julian Petzold Mostafa Wahby F. Stark Ulrich Behrje Heiko Hamann 45 3 0 28 Feb 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space Yuyang Sha J. Faber S. Gou Bonnie M. Liu Wei Li ... T. Steckenreiter D. Vnucec Nadine Wetzstein A. Widl Kai Zhou AAML 33 6 0 26 Feb 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 25 1 0 25 Feb 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 47 26 0 25 Feb 2022
Estimators of Entropy and Information via Inference in Probabilistic Models Feras A. Saad Marco F. Cusumano-Towner Vikash K. Mansinghka 13 4 0 24 Feb 2022
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function O. Richardson 27 6 0 24 Feb 2022
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation F. Igea Alice Cicirello 24 8 0 23 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 58 17 0 23 Feb 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints Dhruv Shah Sergey Levine 132 66 0 23 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 81 17 0 22 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 36 3 0 22 Feb 2022
Moment Matching Deep Contrastive Latent Variable Models Ethan Weinberger Nicasia Beebe-Wang Su-In Lee 31 16 0 21 Feb 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning Mikolaj Malkiñski Jacek Mańdziuk 34 39 0 21 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 38 0 0 19 Feb 2022
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks Jurijs Nazarovs Ronak R. Mehta Vishnu Suresh Lokhande Vikas Singh UQCV BDL OOD 25 5 0 19 Feb 2022
Variational Neural Temporal Point Process Deokjun Eom Sehyun Lee Jaesik Choi BDL AI4TS 38 2 0 17 Feb 2022
Point Cloud Generation with Continuous Conditioning Larissa T. Triess Andreas Bühler David Peter F. Flohr J. Marius Zöllner 3DV 3DPC 50 7 0 17 Feb 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 37 95 0 17 Feb 2022
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video Jinseok Bae Hojun Jang Cheol-Hui Min H. Choi Y. Kim 29 5 0 17 Feb 2022
Learning to Generalize across Domains on Single Test Samples Zehao Xiao Xiantong Zhen Ling Shao Cees G. M. Snoek OOD 19 31 0 16 Feb 2022
Automating the Learning of Inverse Kinematics for Robotic Arms with Redundant DoFs Chih-Kai Ho C. King 14 6 0 16 Feb 2022
Discriminability-enforcing loss to improve representation learning Florinel-Alin Croitoru Diana-Nicoleta Grigore Radu Tudor Ionescu FaML 27 1 0 14 Feb 2022
A Group-Equivariant Autoencoder for Identifying Spontaneously Broken Symmetries Devanshu Agrawal A. Del Maestro Steven Johnston James Ostrowski DRL AI4CE 44 2 0 13 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu Haixu Wu Zihan Qiu Jianmin Wang Mingsheng Long OffRL 40 66 0 13 Feb 2022
Compute Trends Across Three Eras of Machine Learning J. Sevilla Lennart Heim A. Ho T. Besiroglu Marius Hobbhahn Pablo Villalobos 41 273 0 11 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 43 180 0 11 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 35 28 0 10 Feb 2022
Deep Learning for Computational Cytology: A Survey Hao Jiang Yanning Zhou Yi-Mou Lin R. Chan Jiangshu Liu Hao Chen 32 75 0 10 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 40 7 0 10 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison Gabriel Loaiza-Ganem BDL OffRL 31 8 0 09 Feb 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations Yu Meng Yunyi Zhang Jiaxin Huang Yu Zhang Jiawei Han 58 57 0 09 Feb 2022
Model Architecture Adaption for Bayesian Neural Networks Duo Wang Yiren Zhao Ilia Shumailov Robert D. Mullins UQCV OOD BDL 31 0 0 09 Feb 2022
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network Yoshiaki Kawase K. Mitarai Keisuke Fujii 30 5 0 09 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization Xiaotong Li Yongxing Dai Yixiao Ge Jun Liu Ying Shan Ling-Yu Duan OODD OOD 38 175 0 08 Feb 2022
Detecting Anomalies within Time Series using Local Neural Transformations Tim Schneider Chen Qiu Marius Kloft Decky Aspandi Latif Steffen Staab Stephan Mandt Maja R. Rudolph AI4TS 45 18 0 08 Feb 2022
Deep learning for drug repurposing: methods, databases, and applications Xiao Pan Xuan Lin Dongsheng Cao Xiangxiang Zeng Philip S. Yu Lifang He R. Nussinov F. Cheng 33 127 0 08 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning Xiaokang Chen Mingyu Ding Xiaodi Wang Ying Xin Shentong Mo Yunhao Wang Shumin Han Ping Luo Gang Zeng Jingdong Wang SSL 50 387 0 07 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 48 4 0 04 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Yue Liu Ding Zhao 37 148 0 04 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation Ruixiang Zhang Shuangfei Zhai Etai Littwin J. Susskind SSL 36 3 0 04 Feb 2022