Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 31 3 0 09 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 30 19 0 08 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 40 32 0 07 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 36 35 0 07 Nov 2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments Abhinav Joshi Naman K. Gupta Jinang Shah Binod Bhattarai Ashutosh Modi Danail Stoyanov OffRL 41 2 0 07 Nov 2022
Predictive Coding beyond Gaussian Distributions Luca Pinchetti Tommaso Salvatori Yordan Yordanov Beren Millidge Yuhang Song Thomas Lukasiewicz UQCV BDL 32 11 0 07 Nov 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 50 5 0 07 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 45 20 0 07 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching Yu Yang Xiaotian Cheng Hakan Bilen Xiangyang Ji GAN 37 7 0 06 Nov 2022
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes Negar Erfanian Santiago Segarra Maarten V. de Hoop AI4TS 16 1 0 05 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Degradation Prediction of Semiconductor Lasers using Conditional Variational Autoencoder K. Abdelli H. Griesser C. Neumeyr R. Hohenleitner S. Pachnicke 15 4 0 05 Nov 2022
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning João Machado de Freitas Bernhard C. Geiger 32 3 0 02 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas Griffiths 27 12 0 02 Nov 2022
Oracle-guided Contrastive Clustering Mengdie Wang Liyuan Shang Suyun Zhao Yiming Wang Hong Chen Cuiping Li Xizhao Wang 29 0 0 01 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 35 5 0 31 Oct 2022
Improving Multi-generation Robustness of Learned Image Compression Litian Li Zheng Yang Ronggang Wang 34 2 0 31 Oct 2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription Shengbang Tong Xili Dai Yubei Chen Mingyang Li Zengyi Li Brent Yi Yann LeCun Yi Ma SSL DRL 31 7 0 30 Oct 2022
Multimodal Transformer for Parallel Concatenated Variational Autoencoders Stephen D. Liang J. Mendel ViT 32 5 0 28 Oct 2022
MagicMix: Semantic Mixing with Diffusion Models Jun Hao Liew Hanshu Yan Daquan Zhou Jiashi Feng DiffM 187 60 0 28 Oct 2022
Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders Jason Fong Yun Wang Prabhav Agrawal Vimal Manohar Jilong Wu Thilo Kohler Qing He 23 0 0 28 Oct 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman T. Le Pavel Sountsov Christopher Suter Ben Lee Vikash K. Mansinghka Rif A. Saurous BDL 33 12 0 27 Oct 2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification Ziwen Liu J. Grau-Bové Scott Orr 45 1 0 27 Oct 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation Xutao Guo Yanwu Yang Chenfei Ye Shangfeng Lu Yang Xiang Tingxia Ma MedIm DiffM 47 32 0 27 Oct 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 50 3 0 26 Oct 2022
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs Saravanabalagi Ramachandran Jonathan Horgan Ganesh Sistu J. McDonald 3DV 29 1 0 26 Oct 2022
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models Filippos Christianos Peter Karkus Boris Ivanovic Stefano V. Albrecht Marco Pavone 32 10 0 26 Oct 2022
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck Kieran A. Murphy Danielle Bassett 13 0 0 25 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 43 5 0 25 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 30 1 0 25 Oct 2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model Chuanyan Zhou Jie Ma Fan Li Yongming Li Pin Wang Xiaoheng Zhang 18 0 0 25 Oct 2022
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives Carlos Hernandez-Olivan Javier Hernandez-Olivan J. R. Beltrán MGen 47 6 0 25 Oct 2022
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations Baihan Lin AI4CE 33 8 0 24 Oct 2022
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval Zhaopeng Dou Zhongdao Wang Weihua Chen Yali Li Shengjin Wang 37 15 0 24 Oct 2022
Dichotomy of Control: Separating What You Can Control from What You Cannot Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 42 0 24 Oct 2022
On the failure of variational score matching for VAE models W. K. Li DRL 20 1 0 24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
Batch Multi-Fidelity Active Learning with Budget Constraints Shibo Li J. M. Phillips Xin Yu Robert M. Kirby Shandian Zhe 98 15 0 23 Oct 2022
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction V. Prasad Dorothea Koert R. Stock-Homburg Jan Peters Georgia Chalvatzaki 42 11 0 22 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 29 0 0 22 Oct 2022
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection Zhixun Li Dingshuo Chen Qiang Liu Shu Wu AAML 36 15 0 22 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 5 0 21 Oct 2022
Hypernetworks in Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Shimon Whiteson OffRL 29 30 0 20 Oct 2022
Causal Structural Hypothesis Testing and Data Generation Models Jeffrey Q. Jiang Omead Brandon Pooladzandi Sunay Bhat Gregory Pottie CML 40 1 0 20 Oct 2022
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion Chihiro Watanabe Hirokazu Kameoka DRL 42 0 0 20 Oct 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 39 8 0 20 Oct 2022
Diffusion Models already have a Semantic Latent Space Mingi Kwon Jaeseok Jeong Youngjung Uh 31 247 0 20 Oct 2022
DOT-VAE: Disentangling One Factor at a Time Vaishnavi Patil Matthew Evanusa J. JáJá CoGe DRL CML 23 1 0 19 Oct 2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences Natavsa Tagasovska Nathan C. Frey Andreas Loukas I. Hotzel J. Lafrance-Vanasse ... A. Rajpal Richard Bonneau Kyunghyun Cho Stephen Ra Vladimir Gligorijević 18 11 0 19 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 48 37 0 19 Oct 2022