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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Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI Nicolás Gaggion Benjamin A. Matheson Yan Xia Rodrigo Bonazzola Nishant Ravikumar Zeike A. Taylor Diego H. Milone Alejandro F. Frangi Enzo Ferrante 99 4 0 22 Nov 2023
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netFound: Foundation Model for Network Security Satyandra Guthula Navya Battula Roman Beltiukov Wenbo Guo Arpit Gupta Inder Monga 63 18 0 25 Oct 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts Yixin Wu Ning Yu Michael Backes Yun Shen Yang Zhang DiffM 95 8 0 25 Oct 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 67 1 0 25 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 87 12 0 24 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 94 6 0 20 Oct 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 136 12 0 19 Oct 2023
AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation Liyang Chen Weihong Bao Shunwei Lei Boshi Tang Zhiyong Wu Shiyin Kang Haozhi Huang Helen M. Meng 60 1 0 11 Oct 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 64 1 0 11 Oct 2023
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network Changze Lv Tianlong Li Changze Lv Yufei Gu Jianhan Xu Cenyuan Zhang Muling Wu Xiaoqing Zheng Xuanjing Huang CLIP VLM 78 3 0 10 Oct 2023
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning Qing Zhu Qirong Mao Jialin Zhang Xiaohua Huang Wenming Zheng 41 2 0 06 Oct 2023
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 58 6 0 05 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 106 64 0 29 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 86 5 0 27 Sep 2023
Application-driven Validation of Posteriors in Inverse Problems T. Adler Jan-Hinrich Nolke Annika Reinke M. Tizabi Sebastian Gruber ... Lynton Ardizzone Paul F. Jaeger Florian Buettner Ullrich Kothe Lena Maier-Hein MedIm 61 1 0 18 Sep 2023
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction Qinghui Liu E. Fuster-García I. T. Hovden Donatas Sederevičius Karoline Skogen ... Till Schellhorn P. Brandal A. Bjørnerud K. Emblem Kyrre Eeg Emblem 80 3 0 11 Sep 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 118 13 0 28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 137 31 0 27 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 72 0 0 26 Aug 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 97 2 0 24 Aug 2023
Deep Generative Models for Physiological Signals: A Systematic Literature Review Nour Neifar Afef Mdhaffar A. Ben-Hamadou M. Jmaiel MedIm 66 5 0 12 Jul 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 122 1 0 19 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 62 1 0 15 Jun 2023
Variational Positive-incentive Noise: How Noise Benefits Models Hongyuan Zhang Si-Ying Huang Yubin Guo Xuelong Li 63 9 0 13 Jun 2023
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 105 5 0 25 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 72 4 0 21 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 138 5 0 17 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 119 73 0 10 May 2023
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization Feihong Shen Jingjing Liu Hai-Zhen Li B. Fang Chenglong Ma Jinxiang Hao Yang Feng Youyi Zheng Youyi Zheng MedIm DiffM 169 1 0 29 Dec 2022
Copula Density Neural Estimation N. A. Letizia Andrea M. Tonello 50 7 0 25 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 78 1 0 16 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 133 587 0 02 Nov 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 61 1 0 12 Oct 2022
Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 81 1 0 19 Sep 2022
Variational Causal Inference Yulun Wu Layne Price Zichen Wang V. Ioannidis Robert A. Barton George Karypis BDL CML 91 5 0 13 Sep 2022
Uncertainty-Driven Action Quality Assessment Caixia Zhou Yaping Huang 57 10 0 29 Jul 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 55 8 0 10 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 87 28 0 10 Jun 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction Jun Chen Ming Hu Boyang Albert Li Mohamed Elhoseiny 102 36 0 01 Jun 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 54 0 0 05 Apr 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 57 11 0 18 Mar 2022
Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation Heecheol Kim Yoshiyuki Ohmura Yasuo Kuniyoshi 61 27 0 18 Mar 2022
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixture Takashi Furuya Hiroyuki Kusumoto K. Taniguchi Naoya Kanno Kazuma Suetake 47 1 0 26 Feb 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 69 2 0 21 Nov 2021
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 59 9 0 07 Aug 2021
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 64 20 0 18 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 84 17 0 11 Aug 2020
Assisted Perception: Optimizing Observations to Communicate State S. Reddy Sergey Levine Anca Dragan 61 15 0 06 Aug 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 83 43 0 17 Jun 2020