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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Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang Kuan Tian Yonghang Guan Jun Zhang Zhiwei Jiang Fei Shen Xiao Han 80 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 92 13 0 27 May 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 77 4 0 26 May 2024
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 88 3 0 26 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 68 0 0 24 May 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber 81 9 0 23 May 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models Katherine Xu Lingzhi Zhang Jianbo Shi 84 13 0 23 May 2024
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis Giulio Biroli A. Decelle Beatriz Seoane 57 4 0 23 May 2024
DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization J. L. Pontón Eduard Pujol A. Aristidou Carlos Andújar N. Pelechano 66 1 0 29 Apr 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 139 10 0 22 Apr 2024
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation Haoyu Zheng Wenqiao Zhang Yaoke Wang Hao Zhou Jiang Liu Juncheng Li Zheqi Lv Siliang Tang Yueting Zhuang Yueting Zhuang 68 1 0 21 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 75 6 0 18 Apr 2024
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem Roumen Nikolaev Popov 54 0 0 16 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 116 35 0 07 Apr 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai "Helen" Li 75 46 0 03 Apr 2024
GINopic: Topic Modeling with Graph Isomorphism Network Suman Adhya Debarshi Kumar Sanyal 116 4 0 02 Apr 2024
Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks G. Sejnova M. Vavrecka Karla Stepanova 51 0 0 02 Apr 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 64 8 0 29 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 74 11 0 27 Mar 2024
Equipping Sketch Patches with Context-Aware Positional Encoding for Graphic Sketch Representation Sicong Zang Zhijun Fang 60 0 0 26 Mar 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 89 12 0 26 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 64 6 0 22 Mar 2024
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 84 13 0 21 Mar 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 102 2 0 20 Mar 2024
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain Jungwon Choi Hyungi Lee Byung-Hoon Kim Juho Lee 100 0 0 11 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 88 0 0 05 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 97 23 0 01 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 141 18 0 28 Feb 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 96 90 0 27 Feb 2024
Variational Entropy Search for Adjusting Expected Improvement Nuojin Cheng Stephen Becker 41 1 0 17 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 68 0 0 09 Feb 2024
The VampPrior Mixture Model Andrew Stirn David A. Knowles BDL 52 1 0 06 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation Sobihan Surendran Antoine Godichon-Baggioni Adeline Fermanian Sylvain Le Corff 77 1 0 05 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 69 8 0 04 Feb 2024
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery Lianhao Yin Yutong Ban J. Eckhoff O. Meireles Daniela Rus Guy Rosman 80 1 0 03 Feb 2024
FLLIC: Functionally Lossless Image Compression Xi Zhang Xiaolin Wu 79 0 0 24 Jan 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 102 1 0 18 Jan 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition Jie Zhang Zhifan Wan Lanqing Hu Stephen Lin Shuzhe Wu Shiguang Shan TTA 89 1 0 15 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 50 0 0 11 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 62 1 0 05 Jan 2024
Discrete Distribution Networks Lei Yang 66 1 0 29 Dec 2023
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 85 3 0 20 Dec 2023
RealCraft: Attention Control as A Tool for Zero-Shot Consistent Video Editing Shutong Jin Ruiyu Wang Florian T. Pokorny DiffM VGen 114 1 0 19 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 102 5 0 13 Dec 2023
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits Yibo Xia Lizhen Wang Xiang Deng Xiaoyan Luo Yunhong Wang Yebin Liu VGen 68 1 0 12 Dec 2023
Optimized View and Geometry Distillation from Multi-view Diffuser Youjia Zhang Zikai Song Junqing Yu Yawei Luo Wei Yang 60 0 0 11 Dec 2023
Hiding Functions within Functions: Steganography by Implicit Neural Representations Jia-Wei Liu Peng Luo Yan Ke Dang Qian Zhang Minqing Mu Dejun GAN 79 4 0 07 Dec 2023
Latent Feature-Guided Diffusion Models for Shadow Removal Kangfu Mei Luis Figueroa Zhe Lin Zhihong Ding Scott D. Cohen Vishal M. Patel DiffM 55 18 0 04 Dec 2023
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games Lukas Schäfer Logan Jones Anssi Kanervisto Yuhan Cao Tabish Rashid Raluca Georgescu David Bignell Siddhartha Sen Andrea Trevino Gavito Sam Devlin 104 3 0 04 Dec 2023
StructRe: Rewriting for Structured Shape Modeling Jiepeng Wang Hao Pan Yang Liu Xin Tong Taku Komura Wenping Wang 70 0 0 29 Nov 2023