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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
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang Hankook Lee Jinwoo Shin VLM SSL 97 18 0 02 Mar 2023
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Can We Use Diffusion Probabilistic Models for 3D Motion Prediction? Hyemin Ahn Esteve Valls Mascaro Dongheui Lee VGen DiffM 81 23 0 28 Feb 2023
Permutation Equivariant Neural Functionals Allan Zhou Kaien Yang Kaylee Burns Adriano Cardace Yiding Jiang Samuel Sokota J. Zico Kolter Chelsea Finn 128 56 0 27 Feb 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 72 9 0 24 Feb 2023
Aligning Text-to-Image Models using Human Feedback Kimin Lee Hao Liu Moonkyung Ryu Olivia Watkins Yuqing Du Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh S. Gu EGVM 118 285 0 23 Feb 2023
Learning Manifold Dimensions with Conditional Variational Autoencoders Yijia Zheng Tong He Yixuan Qiu David Wipf DRL 88 21 0 23 Feb 2023
Entity-Level Text-Guided Image Manipulation Yikai Wang Jianan Wang Guansong Lu Hang Xu Zhenguo Li Wei Zhang Yanwei Fu VGen 65 3 0 22 Feb 2023
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 85 4 0 22 Feb 2023
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 85 11 0 20 Feb 2023
Meta-World Conditional Neural Processes S. E. Ada Emre Ugur BDL 64 2 0 20 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 107 1 0 20 Feb 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data Zhiyuan Li Hailong Li Anca L. Ralescu Jonathan R. Dillman N. Parikh Lili He 60 8 0 20 Feb 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 70 0 0 19 Feb 2023
Guided Deep Kernel Learning Idan Achituve Gal Chechik Ethan Fetaya BDL 66 7 0 19 Feb 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation Jing-Cheng Pang Xinyi Yang Sibei Yang Yang Yu 73 9 0 18 Feb 2023
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization Honglin Wu Xueqiong Li Long Lan Liyang Xu Yuhua Tang 65 0 0 18 Feb 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 97 23 0 17 Feb 2023
A Deep Learning Technique to Control the Non-linear Dynamics of a Gravitational-wave Interferometer Peter Xiangyuan Ma G. Vajente 27 1 0 15 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy Derui Zhu Dingfan Chen Jens Grossklags Mario Fritz DiffM 86 14 0 15 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 85 5 0 15 Feb 2023
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification S. Yap Junn Yong Loo Chee-Ming Ting Fuad M. Noman Raphaël C.-W. Phan C. Ting David L. Dowe 43 2 0 14 Feb 2023
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data Simone Luetto Fabrizio Garuti E. Sangineto L. Forni Rita Cucchiara LMTD AI4TS 138 13 0 13 Feb 2023
Vector Quantized Wasserstein Auto-Encoder Tung-Long Vuong Trung Le He Zhao Chuanxia Zheng Mehrtash Harandi Jianfei Cai Dinh Q. Phung DRL 68 20 0 12 Feb 2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning Jia-Yin Liu Zhenya Huang Chengxiang Zhai Qi Liu 47 20 0 11 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 97 14 0 10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 131 226 0 09 Feb 2023
Disentangling Learning Representations with Density Estimation Eric C. Yeats Frank Liu Hai Helen Li BDL DRL CML 106 2 0 08 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 110 257 0 07 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 109 30 0 06 Feb 2023
Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment Qitong Gao Stephen L. Schimdt Afsana Chowdhury Guangyu Feng Jennifer J. Peters Katherine Genty W. Grill Dennis A. Turner Miroslav Pajic OffRL 73 11 0 05 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation Á. Jiménez DiffM 73 46 0 05 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge Coen de Vente Koen A. Vermeer Nicolas Jaccard He Wang Hongyi Sun ... Abdul Qayyum Imran Razzak Bram van Ginneken H. Lemij Clara I. Sánchez 129 57 0 03 Feb 2023
Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection Fernando Pérez-Bueno Luz García G. Maciá-Fernández Rafael Molina 35 12 0 02 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 128 1 0 02 Feb 2023
Synthesizing Physical Character-Scene Interactions Mohamed Hassan Yunrong Guo Tingwu Wang Michael J. Black Sanja Fidler Xue Bin Peng 129 86 0 02 Feb 2023
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification Yuan Yue Jeremiah D. Deng D. Ridder P. Manning D. Adhia DRL 41 4 0 01 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 90 55 0 01 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin Walters Nima Dehmamy Rose Yu GAN 111 29 0 01 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation Guanqi Ding Xinzhe Han Shuhui Wang Xin Jin Dandan Tu Qingming Huang 71 9 0 01 Feb 2023
Learning Universal Policies via Text-Guided Video Generation Yilun Du Mengjiao Yang Bo Dai H. Dai Ofir Nachum J. Tenenbaum Dale Schuurmans Pieter Abbeel PINN LM&Ro 120 264 0 31 Jan 2023
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation Antoine Dedieu Guangyao Zhou Dileep George Miguel Lazaro-Gredilla BDL 49 2 0 31 Jan 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Yang Yuwang Wang Yan Lv Nanning Zh DiffM 144 24 0 31 Jan 2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy Mengyun Qiao Shuo Wang Huaqi Qiu A. de Marvao D. O’Regan Daniel Rueckert Wenjia Bai MedIm 69 14 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 136 11 0 29 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning Zhipeng Liang Xiaoteng Ma Jose H. Blanchet Jiheng Zhang Zhengyuan Zhou OOD OffRL 86 12 0 27 Jan 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Biao Zhang Jiapeng Tang Matthias Niessner Peter Wonka DiffM 155 220 0 26 Jan 2023
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization Shangrong Yang Chunyu Lin K. Liao Yao Zhao DiffM 88 8 0 26 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 66 2 0 23 Jan 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 191 22 0 22 Jan 2023