Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,460 papers shown

Title
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 147 0 28 Jun 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 36 3 0 28 Jun 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 57 10 0 28 Jun 2022
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model Peizheng Li Xiaoyang Wang Robert Piechocki S. Kapoor A. Doufexi Arjun Parekh DRL 24 3 0 27 Jun 2022
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems Chen Ling Junji Jiang Junxiang Wang Liang Zhao DiffM 32 46 0 24 Jun 2022
Data-driven discovery of novel 2D materials by deep generative models Peder Lyngby K. Thygesen DiffM 32 68 0 24 Jun 2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains Yusuke Tanaka Toshiyuki Tanaka Tomoharu Iwata Takeshi Kurashima Maya Okawa Yasunori Akagi Hiroyuki Toda 26 0 0 24 Jun 2022
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue Kentaro Mitsui Tianyu Zhao Kei Sawada Yukiya Hono Yoshihiko Nankaku K. Tokuda 33 14 0 24 Jun 2022
Disentangling representations in Restricted Boltzmann Machines without adversaries Jorge Fernandez-de-Cossio-Diaz Simona Cocco R. Monasson DRL 40 13 0 23 Jun 2022
LED: Latent Variable-based Estimation of Density Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 27 0 0 23 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 30 22 0 23 Jun 2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks Peiyuan Liao Xiuyu Li Xihui Liu Kurt Keutzer 30 48 0 22 Jun 2022
Facke: a Survey on Generative Models for Face Swapping Wei Jiang Wen Dong CVBM 22 2 0 22 Jun 2022
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles G. Felhi Joseph Le Roux Djamé Seddah DRL 23 5 0 22 Jun 2022
How to Combine Variational Bayesian Networks in Federated Learning Atahan Ozer Kadir Burak Buldu Abdullah Akgul Gözde B. Ünal FedML 38 5 0 22 Jun 2022
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization Zheng Chen Lingwei Zhu Ziwei Yang Takashi Matsubara 24 7 0 22 Jun 2022
Uncertainty Quantification for Competency Assessment of Autonomous Agents Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 21 3 0 21 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 2 0 20 Jun 2022
Bounding Evidence and Estimating Log-Likelihood in VAE Lukasz Struski Marcin Mazur Pawel Batorski Przemysław Spurek Jacek Tabor 21 3 0 19 Jun 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Yi Ma 34 6 0 18 Jun 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 29 13 0 17 Jun 2022
LIMO: Latent Inceptionism for Targeted Molecule Generation Peter Eckmann Kunyang Sun Bo Zhao Mudong Feng Michael K. Gilson Rose Yu BDL 43 44 0 17 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip Torr Amartya Sanyal OOD 42 25 0 17 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 33 27 0 17 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning M. Gwilliam Abhinav Shrivastava SSL 85 19 1 16 Jun 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning Hyunwoo Ryu Jeong-Hoon Lee Honglak Lee Jongeun Choi 42 54 0 16 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 39 29 0 16 Jun 2022
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis Rania Briq Chuhang Zou L. Pishchulin Christopher Broaddus Juergen Gall 31 1 0 14 Jun 2022
Probabilistic Conformal Prediction Using Conditional Random Samples Zhendong Wang Ruijiang Gao Mingzhang Yin Mingyuan Zhou David M. Blei TPM 47 24 0 14 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 21 17 0 13 Jun 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 23 15 0 13 Jun 2022
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection Harsh Purohit Takashi Endo Masaaki Yamamoto Y. Kawaguchi DRL 11 8 0 11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 21 46 0 10 Jun 2022
Imitation Learning via Differentiable Physics Siwei Chen Xiao Ma Zhongwen Xu PINN AI4CE 29 4 0 10 Jun 2022
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior C. Qin Shuo Wang Chong Chen Wenjia Bai Daniel Rueckert MedIm 30 19 0 08 Jun 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 43 6 0 07 Jun 2022
NOMAD: Nonlinear Manifold Decoders for Operator Learning Jacob H. Seidman Georgios Kissas P. Perdikaris George J. Pappas AI4CE 36 68 0 07 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 41 82 0 07 Jun 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 27 0 0 06 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 40 19 0 06 Jun 2022
A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX Fabian Peller-Konrad Rainer Kartmann Christian R. G. Dreher Andre Meixner Fabian Reister Markus Grotz Tamim Asfour 24 17 0 05 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 36 4 0 05 Jun 2022
Learning Speaker-specific Lip-to-Speech Generation Munender Varshney Ravindra Yadav Vinay P. Namboodiri R. Hegde 34 7 0 04 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 23 7 0 03 Jun 2022
Modeling electronic health record data using a knowledge-graph-embedded topic model Yuesong Zou Ahmad Pesaranghader Aman Verma David L. Buckeridge Yue Li 27 1 0 03 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud D. Zimny Joanna Waczyñska Tomasz Trzciñski Przemysław Spurek 41 18 0 02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 103 1,351 0 02 Jun 2022
Modeling Image Composition for Complex Scene Generation Zuopeng Yang Daqing Liu Chaoyue Wang J. Yang Dacheng Tao ViT 41 50 0 02 Jun 2022
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks Yufei Zhang A. Schlüter C. Waibel AI4CE 30 23 0 01 Jun 2022