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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 Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 146 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 162 3 0 10 Oct 2023
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Guy Van den Broeck CML 56 0 0 09 Oct 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations Mozes Jacobs Bingni W. Brunton Steven L. Brunton J. Nathan Kutz Ryan V. Raut 67 10 0 07 Oct 2023
Diffusion Random Feature Model Esha Saha Giang Tran DiffM 70 0 0 06 Oct 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Simian Luo Yiqin Tan Longbo Huang Jian Li Hang Zhao DiffM 112 479 0 06 Oct 2023
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 84 16 0 06 Oct 2023
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning Qing Zhu Qirong Mao Jialin Zhang Xiaohua Huang Wenming Zheng 90 2 0 06 Oct 2023
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 71 0 0 05 Oct 2023
Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning Takayuki Komatsu Yoshiyuki Ohmura Yasuo Kuniyoshi OCL 31 1 0 05 Oct 2023
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 122 6 0 05 Oct 2023
Kosmos-G: Generating Images in Context with Multimodal Large Language Models Xichen Pan Li Dong Shaohan Huang Zhiliang Peng Wenhu Chen Furu Wei VLM 152 68 0 04 Oct 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Zijie Geng Xijun Li Jie Wang Xiao Li Yongdong Zhang Feng Wu 120 23 0 04 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 121 49 0 04 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical models Jean-Pierre Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 136 7 0 03 Oct 2023
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models Kota Sueyoshi Takashi Matsubara DiffM 98 8 0 03 Oct 2023
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks Tao Li Yunian Pan Quanyan Zhu AAML 92 5 0 02 Oct 2023
Prompt-tuning latent diffusion models for inverse problems Hyungjin Chung Jong Chul Ye P. Milanfar M. Delbracio DiffM 105 44 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 96 80 0 01 Oct 2023
Reinforcement Learning for Node Selection in Branch-and-Bound Alexander Mattick Christopher Mutschler 35 2 0 29 Sep 2023
GAIA-1: A Generative World Model for Autonomous Driving Masane Fuchi Lloyd Russell Hudson Yeo Zak Murez Hiroto Minami Alex Kendall Tomohiro Takagi Gianluca Corrado VGen 130 252 0 29 Sep 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 150 67 0 29 Sep 2023
A Variational Spike-and-Slab Approach for Group Variable Selection M. Ramezani Hossein Rastgoftar Jun S. Liu 61 0 0 28 Sep 2023
Decaf: Monocular Deformation Capture for Face and Hand Interactions Soshi Shimada Carlos Esteves A. Makadia Stella X. Yu 3DH CVBM 111 13 0 28 Sep 2023
VAE-based latent-space classification of RNO-G data J. H. Metzen DRL BDL 15 0 0 28 Sep 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network Akihiro Kishimoto Hiroshi Kajino Masataka Hirose Junta Fuchiwaki Indra Priyadarsini Lisa Hamada Hajime Shinohara D. Nakano Seiji Takeda AI4CE 56 5 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 140 5 0 27 Sep 2023
A Simple Text to Video Model via Transformer Gang Chen ViT 37 1 0 26 Sep 2023
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation Jiahao Xie Wei Li Xiangtai Li Ziwei Liu Yew-Soon Ong Chen Change Loy DiffM VLM 154 37 0 22 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning Jianzhun Shao Yun Qu Chen Chen Hongchang Zhang Xiangyang Ji OffRL 82 22 0 22 Sep 2023
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization Ruihao Yuan Kaixuan Huang Pan Yang Shunqing Zhang 20 1 0 19 Sep 2023
On Explicit Curvature Regularization in Deep Generative Models Yonghyeon Lee Frank C. Park BDL 77 13 0 19 Sep 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 69 1 0 18 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 104 1 0 18 Sep 2023
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition Ming-Zhe Li Zhen Jia Zheng Zhang Zhanyu Ma Liang Wang 69 4 0 18 Sep 2023
Causal Entropy and Information Gain for Measuring Causal Control F. N. F. Q. Simoes Mehdi Dastani T. V. Ommen CML 54 5 0 14 Sep 2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck Marco Federici Patrick Forré Ryota Tomioka Bastiaan S. Veeling 51 6 0 13 Sep 2023
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model Yin Wang Zhiying Leng Frederick W. B. Li Shun-cheng Wu Xiaohui Liang DiffM 55 60 0 12 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 78 25 0 11 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 107 3 0 11 Sep 2023
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation Yuan Gan Zongxin Yang Xihang Yue Lingyun Sun Yezhou Yang 72 62 0 10 Sep 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue Mingyang Yi Weijian Luo Shifeng Zhang Jiacheng Sun Zechao Li Zhi-Ming Ma DiffM 162 52 0 10 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 74 5 0 08 Sep 2023
DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection Manlin Zhang Jie Wu Yuxi Ren Ming Li Jie Qin Xuefeng Xiao Wei Liu Rui Wang Min Zheng Andy J. Ma DiffM 104 22 0 07 Sep 2023
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains Katherine Morales Y. Petetin 37 0 0 07 Sep 2023
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation Hengyue Liu B. Bhanu 106 3 0 06 Sep 2023
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source Ryan Humble W. Colocho F. O'Shea Daniel Ratner Eric F. Darve DRL 34 1 0 05 Sep 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models Dogyun Park Suhyun Kim EGVM 31 4 0 04 Sep 2023
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics Michael Kagan Lukas Heinrich 75 9 0 31 Aug 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 83 39 0 31 Aug 2023