Iterative Amortized Inference

24 July 2018

Papers citing "Iterative Amortized Inference"

43 / 43 papers shown

Title
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Object-centric proto-symbolic behavioural reasoning from pixels R. S. V. Bergen Justus F. Hübotter Pablo Lanillos LM&Ro OCL 93 0 0 26 Nov 2024
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders Charles OÑeill David Klindt David Klindt 103 1 0 20 Nov 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints Jinyang Yuan Tonglin Chen Zhimeng Shen Bin Li Xiangyang Xue OCL 35 2 0 03 Jan 2024
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 22 3 0 02 Jul 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran Babak Shahbaba Stephan Mandt Maurizio Filippone SyDa BDL UQCV 28 5 0 09 Feb 2023
Hyperspectral Image Compression Using Implicit Neural Representation Shima Rezasoltani Faisal Z. Qureshi 10 5 0 08 Feb 2023
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 38 5 0 25 Oct 2022
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 26 1 0 20 Oct 2022
On the Relationship Between Variational Inference and Auto-Associative Memory Louis Annabi Alexandre Pitti M. Quoy BDL 35 5 0 14 Oct 2022
Bit Allocation using Optimization Tongda Xu Han-yi Gao Chenjian Gao Yuanyuan Wang Dailan He ... Mao Ye Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 56 14 0 20 Sep 2022
Flexible Neural Image Compression via Code Editing Chenjian Gao Tongda Xu Dailan He Hongwei Qin Yan Wang 46 24 0 19 Sep 2022
Inference and Learning for Generative Capsule Models A. Nazábal Nikolaos Tsagkas Christopher K. I. Williams OCL GAN 31 3 0 07 Sep 2022
Object-based active inference R. S. V. Bergen Pablo Lanillos OCL AI4CE 34 5 0 02 Sep 2022
A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 34 12 0 21 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 69 58 0 02 Jul 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 28 16 0 15 Apr 2022
Hybrid Predictive Coding: Inferring, Fast and Slow Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 27 36 0 05 Apr 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Unsupervised Representation Learning via Neural Activation Coding Yookoon Park Sangho Lee Gunhee Kim David M. Blei SSL 26 8 0 07 Dec 2021
Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu Sirui Xie Xiaojian Ma Yixin Zhu Ying Nian Wu Song-Chun Zhu OCL 34 42 0 29 Oct 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Stochastic Iterative Graph Matching Linfeng Liu M. C. Hughes S. Hassoun Liping Liu 27 15 0 04 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 574 0 27 May 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model Adam R. Kosiorek Heiko Strathmann Daniel Zoran Pol Moreno R. Schneider Sovna Mokrá Danilo Jimenez Rezende DRL 34 139 0 01 Apr 2021
COIN: COmpression with Implicit Neural representations Emilien Dupont Adam Goliñski Milad Alizadeh Yee Whye Teh Arnaud Doucet 23 223 0 03 Mar 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 75 32 0 11 Jan 2021
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 31 26 0 29 Jul 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 9 0 11 Jul 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 17 82 0 26 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 32 95 0 04 Mar 2020
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 45 34 0 07 Oct 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans Volodimir Begy Gilles Louppe 32 20 0 10 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 42 499 0 01 Mar 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 25 272 0 16 Jan 2019
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian Dalca MedIm 77 1,544 0 14 Sep 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017