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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A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 61 0 0 18 Aug 2024
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Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study Zohaib Salahuddin A. Ibrahim Sheng Kuang Y. Widaatalla R. Miclea ... Tom Marcelissen Patricia Zondervan Auke Jager Philippe Lambin Henry C. Woodruff MedIm 60 1 0 07 Aug 2024
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Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining Dongyang Liu Shitian Zhao Le Zhuo Weifeng Lin Ping Luo Xinyue Li Qi Qin Yu Qiao Hongsheng Li Peng Gao MLLM 125 54 0 05 Aug 2024
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer Yihong Lin Zhaoxin Fan Lingyu Xiong Liang Peng Xiandong Li Xiandong Li Wenxiong Kang Xiandong Li Huang Xu 60 3 0 03 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Guy Van den Broeck TPM 82 6 0 01 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 72 0 0 31 Jul 2024
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving Bernard Lange Masha Itkina Jiachen Li Mykel J. Kochenderfer 68 4 0 30 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks Yunfeng Diao Na Zhai Changtao Miao Xun Yang Meng Wang Xun Yang Meng Wang AAML 106 1 0 30 Jul 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 80 2 0 29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 65 0 0 28 Jul 2024
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling Chengan He Xin Sun Zhixin Shu Fujun Luan Soren Pirk ... D. L. Michels Tuanfeng Y. Wang Meng Zhang Holly Rushmeier Yi Zhou 3DH 73 5 0 28 Jul 2024
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints Lei Guo Wei Chen Yuxuan Sun Bo Ai Nikolaos Pappas T. Quek DiffM 99 6 0 26 Jul 2024
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Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 94 9 0 22 Jul 2024
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules Jakob Benjamin Wessel Christopher A. T. Ferro Gavin R. Evans F. Kwasniok 58 2 0 22 Jul 2024
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CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation Weiheng Yao Shuqiang Wang Mufti Mahmud Ning Zhong Baiying Lei Shuqiang Wang MedIm DiffM 43 4 0 16 Jul 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 74 2 0 15 Jul 2024
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Gaussian Eigen Models for Human Heads Wojciech Zielonka Timo Bolkart Thabo Beeler Justus Thies 3DGS 84 5 0 05 Jul 2024
A Pattern Language for Machine Learning Tasks Benjamin Rodatz Ian Fan Tuomas Laakkonen Neil John Ortega Thomas Hoffman Vincent Wang-Ma'scianica 75 3 0 02 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 101 1 0 01 Jul 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 84 7 0 30 Jun 2024
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 79 10 0 28 Jun 2024
Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals A Erdem Sağtekin Felix Pei Manuel Gloeckler Jakob H Macke 350 7 0 24 Jun 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 75 0 0 21 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 93 3 0 20 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 113 8 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 78 2 0 18 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 105 37 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 57 1 0 17 Jun 2024
Learnable Fractal Flames Jordan J. Bannister Derek Nowrouzezahrai 188 1 0 13 Jun 2024
Foundation Inference Models for Markov Jump Processes David Berghaus K. Cvejoski Patrick Seifner C. Ojeda Ramses J. Sanchez 62 1 0 10 Jun 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 85 5 0 10 Jun 2024
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Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 93 1 0 03 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 81 1 0 03 Jun 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 106 30 0 31 May 2024
Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion Jiangkai Wu Liming Liu Yunpeng Tan Junlin Hao Zongming Guo 86 2 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 77 0 0 30 May 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 119 1 0 30 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 105 9 0 29 May 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 68 1 0 29 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 86 2 0 29 May 2024
cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM Gabriel Ducrocq Lukas Grunewald S. Westenhoff Fredrik Lindsten 48 1 0 29 May 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang Kuan Tian Yonghang Guan Jun Zhang Zhiwei Jiang Fei Shen Xiao Han 84 5 0 27 May 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training Kai Wang Yukun Zhou Mingjia Shi Zhihang Yuan Yuzhang Shang Yuzhang Shang Hanwang Zhang Hanwang Zhang Yang You 101 14 0 27 May 2024