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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Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Yunshui Li Zhitang Chen Farzan Farnia DiffM 75 1 0 15 Feb 2025
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Learning to be Smooth: An End-to-End Differentiable Particle Smoother Ali Younis Erik B. Sudderth AI4TS 46 0 0 14 Feb 2025
EEG Artifact Detection and Correction with Deep Autoencoders David Aquilué-Llorens Aureli Soria-Frisch 45 0 0 12 Feb 2025
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation Zhiyin Tan Jennifer D'Souza ELM 72 0 0 11 Feb 2025
Diffusion Suction Grasping with Large-Scale Parcel Dataset Ding-Tao Huang Xinyi He Debei Hua Dongfang Yu En-Te Lin Long Zeng DiffM 62 0 0 11 Feb 2025
Biomechanical Reconstruction with Confidence Intervals from Multiview Markerless Motion Capture R. J. Cotton Fabian H. Sinz 56 0 0 10 Feb 2025
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Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen 94 0 0 10 Feb 2025
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AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection Shuheng Zhang Yong-Jin Liu Hongbo Zhou Jun Peng Yiyi Zhou Xiaoshuai Sun Rongrong Ji VGen 48 0 0 08 Feb 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment Minh-Quan Le Gaurav Mittal Tianjian Meng A S M Iftekhar Vishwas Suryanarayanan Barun Patra Dimitris Samaras Mei Chen DiffM 72 0 0 07 Feb 2025
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A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement Chengrui Li Yunmiao Wang Yule Wang Weihan Li Dieter Jaeger Anqi Wu CoGe DRL 78 0 0 04 Feb 2025
Shuttle Between the Instructions and the Parameters of Large Language Models Wangtao Sun Haotian Xu Huanxuan Liao Xuanqing Yu Zhongtao Jiang Shizhu He Jun Zhao Kang Liu 72 0 0 04 Feb 2025
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Generative Kernel Spectral Clustering David Winant Sonny Achten Johan A. K. Suykens 77 0 0 04 Feb 2025
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Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 95 0 0 31 Jan 2025
$Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features$ Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features Mathieu Calvat Chris Bean Dhruv Anjaria Hyoungryul Park Haoren Wang Kenneth Vecchio J.C. Stinville AI4CE 55 1 0 30 Jan 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 46 0 0 30 Jan 2025
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space Alex Chen Philipe Chlenski Kenneth Munyuza A. Moretti C. A. Naesseth I. Pe’er 49 0 0 29 Jan 2025
Drivetrain simulation using variational autoencoders Pallavi Sharma Jorge-Humberto Urrea-Quintero Bogdan Bogdan Adrian-Dumitru Ciotec Laura Vasilie Henning Wessels Matteo Skull 252 0 0 29 Jan 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 70 2 0 28 Jan 2025
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting Pengfei Zhu Peng Shu Mengshi Qi Liang Liu Huadong Ma 83 0 0 28 Jan 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Surojit Saha Ross T. Whitaker 65 0 0 28 Jan 2025
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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hu Hu Sabato Marco Siniscalchi Chao-Han Huck Yang Chin-Hui Lee 85 0 0 28 Jan 2025