Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

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Title
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE Junya Chen Zhe Gan Xuan Li Qing Guo Liqun Chen ... Belinda Zeng Wenlian Lu Fan Li Lawrence Carin Chenyang Tao 43 28 0 02 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 22 182 0 01 Jul 2021
Monte Carlo Variational Auto-Encoders Achille Thin Nikita Kotelevskii Arnaud Doucet Alain Durmus Eric Moulines Maxim Panov BDL DRL 27 44 0 30 Jun 2021
Continuous Latent Process Flows Ruizhi Deng Marcus A. Brubaker Greg Mori Andreas M. Lehrmann AI4TS 29 17 0 29 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 30 10 0 25 Jun 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation Xiaohui Zeng R. Urtasun R. Zemel Sanja Fidler Renjie Liao DiffM 11 2 0 25 Jun 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 32 20 0 21 Jun 2021
A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling Rui Yao S. Bekhor DRL 22 13 0 19 Jun 2021
Differentiable Particle Filtering without Modifying the Forward Pass Adam Scibior Frank Wood 28 19 0 18 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 4 0 15 Jun 2021
Last Layer Marginal Likelihood for Invariance Learning Pola Schwobel Martin Jørgensen Sebastian W. Ober Mark van der Wilk BDL UQCV 26 28 0 14 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 23 12 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
Data augmentation in Bayesian neural networks and the cold posterior effect Seth Nabarro Stoil Ganev Adrià Garriga-Alonso Vincent Fortuin Mark van der Wilk Laurence Aitchison BDL 32 37 0 10 Jun 2021
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models Qi Ma S. Ghosh 19 5 0 09 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 25 59 0 06 Jun 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 27 68 0 31 May 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 26 49 0 29 May 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables Alek Dimitriev Mingyuan Zhou 21 12 0 28 May 2021
Generative Text Modeling through Short Run Inference Bo Pang Erik Nijkamp Tian Han Ying Nian Wu SyDa BDL DRL 36 5 0 27 May 2021
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series Shuangshuang Chen Sihao Ding Y. Karayiannidis Mårten Björkman BDL AI4TS 28 2 0 20 May 2021
Boosting Variational Inference With Locally Adaptive Step-Sizes Gideon Dresdner Saurav Shekhar Fabian Pedregosa Francesco Locatello Gunnar Rätsch 19 2 0 19 May 2021
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization Tomas Geffner Justin Domke 30 9 0 13 May 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 34 17 0 09 May 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 24 89 0 06 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 48 63 0 30 Apr 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 50 58 0 20 Apr 2021
Revisiting Bayesian Autoencoders with MCMC Rohitash Chandra Mahir Jain Manavendra Maharana P. Krivitsky UQCV BDL 42 17 0 13 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 37 0 0 12 Apr 2021
Multimodal Fusion Refiner Networks Sethuraman Sankaran David Yang Ser-Nam Lim OffRL 29 8 0 08 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 34 40 0 06 Apr 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness A. Kulkarni Shuo Han Nandi O. Leslie Charles A. Kamhoua Jie Fu 11 2 0 01 Apr 2021
Variational Rejection Particle Filtering Rahul Sharma S. Banerjee Dootika Vats Piyush Rai BDL 38 0 0 29 Mar 2021
SKID RAW: Skill Discovery from Raw Trajectories Daniel Tanneberg Kai Ploeger Elmar Rueckert Jan Peters 11 29 0 26 Mar 2021
Neighbor Embedding Variational Autoencoder Renfei Tu Yang Liu Yongzeng Xue Cheng Wang Maozu Guo BDL DRL 20 0 0 21 Mar 2021
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform Achille Thin Yazid Janati Sylvain Le Corff Charles Ollion Arnaud Doucet Alain Durmus Eric Moulines C. Robert 35 7 0 17 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 26 9 0 16 Mar 2021
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation Ahmed Ben Said A. Erradi 23 35 0 12 Mar 2021
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 39 10 0 10 Mar 2021
A prior-based approximate latent Riemannian metric Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 17 11 0 09 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 48 485 0 08 Mar 2021
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness Sahra Ghalebikesabi R. Cornish Luke J. Kelly Chris Holmes 23 5 0 05 Mar 2021
A practical tutorial on Variational Bayes Minh-Ngoc Tran Trong-Nghia Nguyen Viet-Hung Dao BDL 34 38 0 01 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 19 51 0 01 Mar 2021
Learning Proposals for Probabilistic Programs with Inference Combinators Sam Stites Heiko Zimmermann Hao Wu Eli Sennesh Jan-Willem van de Meent NAI 17 14 0 01 Mar 2021
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations Justin Domke 4 9 0 25 Feb 2021
Product-form estimators: exploiting independence to scale up Monte Carlo Juan Kuntz F. R. Crucinio A. M. Johansen 36 10 0 23 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 11 25 0 22 Feb 2021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory Jason Ramapuram Yan Wu Alexandros Kalousis 12 4 0 20 Feb 2021
Linear Classifiers in Product Space Forms Puoya Tabaghi Chao Pan Eli Chien Jianhao Peng Olgica Milenković 32 9 0 19 Feb 2021