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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
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 118 7 0 30 Jun 2024
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Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals A Erdem Sağtekin Felix Pei Manuel Gloeckler Jakob H Macke 594 7 0 24 Jun 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 140 0 0 21 Jun 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing Han Jiang Xiaoyuan Yi Zhihua Wei Ziang Xiao Shu Wang Xing Xie ELM ALM 162 8 0 20 Jun 2024
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction Luhui Cai Weiming Zeng Hongyu Chen Hua Zhang Yueyang Li Hongjie Yan Lingbin Bian Lingbin Bian Wai Ting Siok Nizhuan Wang MedIm 142 3 0 20 Jun 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Hua Yujin Huang Shuo Huang Tao Feng Zhuang Li Chris Bain R. Bassed Gholamreza Haffari CML OOD 127 2 0 18 Jun 2024
Learning Molecular Representation in a Cell Gang Liu Srijit Seal John Arevalo Zhenwen Liang Anne E Carpenter Meng Jiang Shantanu Singh 103 4 0 17 Jun 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models Shuo Yang Chenchen Yuan Yao Rong Felix Steinbauer Gjergji Kasneci 91 1 0 17 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 219 42 0 17 Jun 2024
BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation Dongjie Yu Hang Xu Yizhou Chen Yi Ren Jia Pan 93 4 0 14 Jun 2024
Learnable Fractal Flames Jordan J. Bannister Derek Nowrouzezahrai 226 1 0 13 Jun 2024
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An Image is Worth 32 Tokens for Reconstruction and Generation Qihang Yu Mark Weber XueQing Deng Xiaohui Shen Daniel Cremers Liang-Chieh Chen VLM ViT 172 104 0 11 Jun 2024
Foundation Inference Models for Markov Jump Processes David Berghaus K. Cvejoski Patrick Seifner C. Ojeda Ramses J. Sanchez 101 1 0 10 Jun 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 137 5 0 10 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 68 5 0 07 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition Junru Zhang Lang Feng Zhidan Liu Yuhan Wu Yang He Yabo Dong Duanqing Xu 97 4 0 07 Jun 2024
Approximation-Aware Bayesian Optimization Natalie Maus Kyurae Kim Geoff Pleiss David Eriksson John P. Cunningham Jacob R. Gardner 67 3 0 06 Jun 2024
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors Axel Levy E. R. Chan Sara Fridovich-Keil Frédéric Poitevin Ellen D. Zhong Gordon Wetzstein DiffM 165 8 0 06 Jun 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery Amir Mohammad Karimi Mamaghan P. Tigas Karl Henrik Johansson Yarin Gal Yashas Annadani Stefan Bauer CML 83 4 0 05 Jun 2024
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data Jianping Zhou Bin Lu Zhanyu Liu Siyu Pan Xuejun Feng Hua Wei Guanjie Zheng Xinbing Wang Chenghu Zhou 83 2 0 05 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 60 0 0 05 Jun 2024
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference Dominic B. Dayta TPM BDL 55 0 0 05 Jun 2024
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps Evgenii Egorov Ricardo Valperga E. Gavves BDL GAN 81 1 0 04 Jun 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields Louis Serrano Thomas X. Wang E. L. Naour Jean-Noel Vittaut Patrick Gallinari 84 6 0 04 Jun 2024
Image steganography based on generative implicit neural representation Zhong Yangjie Liu Jia Ke Yan Liu Meiqi DiffM GAN 99 0 0 04 Jun 2024
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training Kengo Uchida Takashi Shibuya Yuhta Takida Naoki Murata Shusuke Takahashi Shusuke Takahashi Yuki Mitsufuji VGen 141 5 0 04 Jun 2024
Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy Anjanava Biswas Wrick Talukdar SyDa 100 6 0 03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 169 1 0 03 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 147 2 0 03 Jun 2024
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering Ilya Shenbin Sergey I. Nikolenko 63 0 0 31 May 2024
Unveiling the Potential of AI for Nanomaterial Morphology Prediction Ivan Dubrovsky Andrei Dmitrenko Aleksei Dmitrenko N. Serov Vladimir Vinogradov AI4CE 57 2 0 31 May 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 191 32 0 31 May 2024
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes Riccardo Benaglia Angelo Porrello Pietro Buzzega Simone Calderara Rita Cucchiara 55 0 0 31 May 2024
i $^2$ VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation Xuying Ning Wujiang Xu Tianxin Wei Xiaolei Liu VLM 34 1 0 31 May 2024
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures Jorge F. Silva Victor Faraggi Camilo Ramírez Álvaro F. Egaña Eduardo Pavez 64 1 0 30 May 2024
May the Dance be with You: Dance Generation Framework for Non-Humanoids Hyemin Ahn DiffM VGen 96 1 0 30 May 2024
Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion Jiangkai Wu Liming Liu Yunpeng Tan Junlin Hao Xinggong Zhang 141 3 0 30 May 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 113 0 0 30 May 2024
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction Taisei Tosaki Eiichiro Uchino Ryosuke Kojima Y. Mineharu Yuji Okamoto ... Yoshinori Tamada Tatsuya Mikami K. Murashita Shigeyuki Nakaji Yasushi Okuno OOD 25 0 0 30 May 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 164 1 0 30 May 2024
Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang Yongjae Kim Andrea Finazzi BDL 49 1 0 29 May 2024
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias Corrections Yihang She Clement Atzberger Andrew Blake Adriano Gualandi Srinivasan Keshav AI4CE 39 1 0 29 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 177 12 0 29 May 2024
Learning to Continually Learn with the Bayesian Principle Soochan Lee Hyeonseong Jeon Jaehyeon Son Gunhee Kim BDL CLL 65 4 0 29 May 2024
cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM Gabriel Ducrocq Lukas Grunewald S. Westenhoff Fredrik Lindsten 81 1 0 29 May 2024
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation Zhiqiang Cai Yu Cao Yuanfei Huang Xiang Zhou DiffM 96 0 0 29 May 2024