v1v2v3 (latest)

Decision-Making with Auto-Encoding Variational Bayes

17 February 2020

Romain Lopez

Pierre Boyeau

Nir Yosef

Michael I. Jordan

Jeffrey Regier

BDL

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Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

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Title
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion Tianhao Wu Chuanxia Zheng Tat-Jen Cham DiffM 89 22 0 06 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 88 17 0 06 Jul 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 65 3 0 05 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 70 3 0 05 Jul 2023
Hierarchical Planning and Policy Shaping Shared Autonomy for Articulated Robots E. Yousefi Mo Chen I. Sharf 29 1 0 04 Jul 2023
Causal Structure Learning by Using Intersection of Markov Blankets Yiran Dong Chuanhou Gao CML 49 0 0 01 Jul 2023
Approximate Inference via Fibrations of Statistical Games T. S. C. Smithe 43 2 0 29 Jun 2023
Introspective Perception for Mobile Robots Sadegh Rabiee Joydeep Biswas 75 4 0 29 Jun 2023
Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power combining Variational Autoencoders with Radial Basis Function Kernels Julio A. S. Dias 15 1 0 27 Jun 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey Farhad Pourpanah Ali Etemad 100 5 0 22 Jun 2023
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center A. Ghafourian Huanyi Shui Devesh Upadhyay Rajesh K. Gupta Dimitar Filev I. S. Bozchalooi AAML 72 1 0 22 Jun 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu Min Gong Shaoan Xie Wei Wei Matthias Grundmann Kayhan Batmanghelich Tingbo Hou DiffM 69 14 0 21 Jun 2023
Density Uncertainty Layers for Reliable Uncertainty Estimation Yookoon Park David M. Blei UQCV BDL 46 2 0 21 Jun 2023
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase Qiuyu Wang Zifan Shi Kecheng Zheng Yinghao Xu Sida Peng Yujun Shen 347 4 0 21 Jun 2023
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering Lin Xi Weihai Chen Xingming Wu Zhong Liu Zhengguo Li VOS 73 9 0 21 Jun 2023
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT Yuhao Nie E. Zelikman Andea Scott Quentin Paletta A. Brandt 113 3 0 20 Jun 2023
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning Ning Jiang Gongshu Wang Tianyi Yan CLL 57 0 0 20 Jun 2023
Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models Xingying Huang 39 0 0 19 Jun 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification Dong Xing Pengjie Gu Qian Zheng Xinrun Wang Shanqi Liu Longtao Zheng Bo An Gang Pan 59 2 0 19 Jun 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics Kenta Oono Nontawat Charoenphakdee K. Bito Zhengyan Gao Yoshiaki Ota ... Kohei Hayashi Yuki Saito Koki Tsuda Hiroshi Maruyama K. Hayashi 151 1 0 19 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 72 5 0 16 Jun 2023
Collapsed Inference for Bayesian Deep Learning Zhe Zeng Guy Van den Broeck FedML BDL UQCV 126 9 0 16 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 47 1 0 16 Jun 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 77 31 0 16 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 104 1 0 15 Jun 2023
Variational Positive-incentive Noise: How Noise Benefits Models Hongyuan Zhang Si-Ying Huang Yubin Guo Xuelong Li 81 9 0 13 Jun 2023
Coupled Attention Networks for Multivariate Time Series Anomaly Detection Xiwei Xu Xin Chen Shuo Yu Mingliang Hou Mujie Liu Linlin You AI4TS 58 15 0 12 Jun 2023
MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer Yazheng Yang Zhou Zhao Qi Liu 50 2 0 12 Jun 2023
Fast Diffusion Model Zike Wu Pan Zhou Kenji Kawaguchi Hanwang Zhang DiffM 73 22 0 12 Jun 2023
A Neural Network Implementation for Free Energy Principle Jingwei Liu FedML 51 1 0 11 Jun 2023
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning Daniel Huang Christian Camaño Jonathan Tsegaye Jonathan Austin Gale AI4CE 78 0 0 10 Jun 2023
Task-specific experimental design for treatment effect estimation Beth D. Connolly Kim Moore Tobias Schwedes Alexander Adam Gary Willis Ilya Feige Christopher Frye CML 61 3 0 08 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process Changyao Tian Chenxin Tao Jifeng Dai Hao Li Ziheng Li Lewei Lu Xiaogang Wang Hongsheng Li Gao Huang Xizhou Zhu DiffM 102 10 0 08 Jun 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu Yilun Du Shuang Li J. Tenenbaum Antonio Torralba DiffM CoGe 100 27 0 08 Jun 2023
Contrastive Representation Disentanglement for Clustering Fei Ding Dan Zhang Yin Yang Venkat Krovi Feng Luo SSL DRL 34 0 0 08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 183 56 0 07 Jun 2023
ATT3D: Amortized Text-to-3D Object Synthesis Jonathan Lorraine Kevin Xie Fangyin Wei Chen-Hsuan Lin Towaki Takikawa Nicholas Sharp Nayeon Lee Xuan Li Sanja Fidler James Lucas DiffM 95 89 0 06 Jun 2023
Personalized Federated Domain Adaptation for Item-to-Item Recommendation Ziwei Fan Hao Ding Anoop Deoras T. Hoang 93 6 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 100 24 0 05 Jun 2023
ContraBAR: Contrastive Bayes-Adaptive Deep RL Era Choshen Aviv Tamar BDL OffRL 59 9 0 04 Jun 2023
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn Zhentao Xu Ruoying Wang G.N. Balaji Manas Bundele Xiaofei Liu L. Liu Tie Wang VLM 22 5 0 03 Jun 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 89 10 0 02 Jun 2023
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models Chang-rui Liu Haoning Wu Yujie Zhong Xiaoyu Zhang Yanfeng Wang Weidi Xie DiffM VLM 150 44 0 01 Jun 2023
Inserting Anybody in Diffusion Models via Celeb Basis Genlan Yuan Xiaodong Cun Yong Zhang Maomao Li Chenyang Qi Xintao Wang Ying Shan Huicheng Zheng DiffM 83 53 0 01 Jun 2023
ShaRP: Shape-Regularized Multidimensional Projections Alister Machado A. Telea M. Behrisch 54 2 0 01 Jun 2023
On Masked Pre-training and the Marginal Likelihood Pablo Moreno-Muñoz Pol G. Recasens Søren Hauberg SSL 55 6 0 01 Jun 2023
Fine-Grained Property Value Assessment using Probabilistic Disaggregation Cohen Archbold Benjamin Brodie Aram Ansary Ogholbake Nathan Jacobs 68 0 0 31 May 2023
Representation-Driven Reinforcement Learning Ofir Nabati Guy Tennenholtz Shie Mannor 108 1 0 31 May 2023
Probabilistic computation and uncertainty quantification with emerging covariance He Ma Yong Qi Li Zhang Wenlian Lu Jianfeng Feng 39 1 0 30 May 2023
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models Ernie Chu Shuohao Lin Jun-Cheng Chen DiffM 62 21 0 30 May 2023