Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,300 papers shown

Title
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 47 31 0 19 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones J. D. L. Torre GAN 26 1 0 18 Feb 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction Changwoo Lee Xiao Hu Hun-Seok Kim 29 6 0 17 Feb 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 30 40 0 17 Feb 2023
Self-Organising Neural Discrete Representation Learning à la Kohonen Kazuki Irie Róbert Csordás Jürgen Schmidhuber SSL 32 1 0 15 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 40 13 0 15 Feb 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy Timour Igamberdiev Ivan Habernal 23 17 0 15 Feb 2023
ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction Wei-chao Zhang Hao Cheng Fatema-Tuj-Johora Monika Sester 26 9 0 15 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 39 21 0 14 Feb 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 37 23 0 14 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction Jonas Kneifl D. Rosin Oliver Röhrle Jörg Fehr AI4CE 21 13 0 13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks Mohit Prabhushankar Ghassan Al-Regib 18 3 0 11 Feb 2023
Unbinned Profiled Unfolding Jay Chan Benjamin Nachman 24 7 0 10 Feb 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 23 3 0 10 Feb 2023
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy Cheolhyoung Lee Kyunghyun Cho 25 0 0 08 Feb 2023
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving K. Mullick Harshil Jain Sanchit Gupta A. Kale OOD 31 4 0 08 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions G. Pihlgren Konstantina Nikolaidou Prakash Chandra Chhipa Nosheen Abid Rajkumar Saini Fredrik Sandin Marcus Liwicki 29 10 0 08 Feb 2023
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models Hyeonho Jeong Gihyun Kwon Jong Chul Ye 40 20 0 08 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 37 232 0 07 Feb 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 36 3 0 07 Feb 2023
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay Kwan Ho Ryan Chan B. Haeffele D. Geman René Vidal DRL 24 11 0 06 Feb 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 50 41 0 06 Feb 2023
Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders Yoshihiro Osakabe A. Asahara DRL 25 0 0 06 Feb 2023
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation Haifang Wen Wenzhuo Tang Wei Jin Jiayuan Ding Renming Liu Xinnan Dai Feng Shi Lulu Shang Jiliang Tang Yuying Xie 32 9 0 06 Feb 2023
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference Amine M. Remita Golrokh Vitae Abdoulaye Baniré Diallo BDL 21 0 0 06 Feb 2023
PartitionVAE -- a human-interpretable VAE Fareed Sheriff S. Pai DRL 27 0 0 04 Feb 2023
CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior Pan Gao Donghong Han Rui Zhou Xuejiao Zhang Zikun Wang 31 7 0 03 Feb 2023
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 40 9 0 02 Feb 2023
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization Rita Pucci C. Micheloni N. Martinel 27 0 0 02 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 40 7 0 02 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches Seong-Eun Moon J. Yoon Shinyoung Joo Yoo-Jin Kim J. Bae Seokho Yoon Haanju Yoo Young Min Cho 27 1 0 01 Feb 2023
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization Omead Brandon Pooladzandi Pasha Khosravi Erik Nijkamp Baharan Mirzasoleiman SyDa 25 2 0 31 Jan 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 47 29 0 30 Jan 2023
Adversarial Style Augmentation for Domain Generalization Yabin Zhang Bin Deng Ruihuang Li Kui Jia Lei Zhang AAML OOD 18 14 0 30 Jan 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds Yeqing Lin Mohammed AlQuraishi DiffM AI4CE 27 75 0 29 Jan 2023
Variational Latent Branching Model for Off-Policy Evaluation Qitong Gao Ge Gao Min Chi Miroslav Pajic OffRL 36 6 0 28 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 46 53 0 27 Jan 2023
A Denoising Diffusion Model for Fluid Field Prediction Gefan Yang Stefan Sommer DiffM AI4CE 36 27 0 27 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 21 0 0 26 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 29 8 0 26 Jan 2023
Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning Tomoki Oya M. Nakao Tetsuya Matsuda 9 1 0 25 Jan 2023
Deep Generative Neural Embeddings for High Dimensional Data Visualization H. Yerebakan G. Hermosillo MDE 19 0 0 25 Jan 2023
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem A. Akrim C. Gogu R. Vingerhoeds M. Salaün AI4CE 35 23 0 20 Jan 2023
Projective Integral Updates for High-Dimensional Variational Inference J. Duersch 35 1 0 20 Jan 2023
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines Shizun Wang Weihong Zeng Xu Wang Han Yang Li Chen Yi Yuan Yunzhao Zeng Min Zheng Chuang Zhang Ming Wu 30 8 0 19 Jan 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 33 1 0 19 Jan 2023