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RNADE: The real-valued neural autoregressive density-estimator

Neural Information Processing Systems (NeurIPS), 2013

2 June 2013

Papers citing "RNADE: The real-valued neural autoregressive density-estimator"

50 / 150 papers shown

Title
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?International Conference on Learning Representations (ICLR), 2021 Jun Yao Gabriel Hurtado Albert Thomas 145 13 0 24 Jul 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 168 0 0 24 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density EstimationIEEE Transactions on Signal Processing (IEEE TSP), 2021 Magda Amiridi Nikos Kargas N. Sidiropoulos 170 15 0 20 Jun 2021
On Memorization in Probabilistic Deep Generative ModelsNeural Information Processing Systems (NeurIPS), 2021 G. V. D. Burg Christopher K. I. Williams TDI 282 79 0 06 Jun 2021
Deconvolutional Density Network: Modeling Free-Form Conditional DistributionsAAAI Conference on Artificial Intelligence (AAAI), 2021 Bing Chen Mazharul Islam Jisuo Gao Lin Wang BDL CML 241 8 0 29 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin DynamicsInternational Conference on Machine Learning (ICML), 2021 V. Jayaram John Thickstun DiffM 192 27 0 17 May 2021
Improved Autoregressive Modeling with Distribution SmoothingInternational Conference on Learning Representations (ICLR), 2021 Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 139 24 0 28 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 701 623 0 08 Mar 2021
Manifold Density Estimation via Generalized Dequantization James A. Brofos Marcus A. Brubaker Roy R. Lederman 252 5 0 14 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical DistributionsNeural Information Processing Systems (NeurIPS), 2021 Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 604 557 0 10 Feb 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMCInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 P. Jaini Didrik Nielsen Max Welling BDL 206 10 0 04 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2021 Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 753 792 0 22 Jan 2021
SceneGen: Learning to Generate Realistic Traffic ScenesComputer Vision and Pattern Recognition (CVPR), 2021 Shuhan Tan K. Wong Shenlong Wang S. Manivasagam Mengye Ren R. Urtasun 203 130 0 16 Jan 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on ImagesInternational Conference on Learning Representations (ICLR), 2020 R. Child BDL VLM 432 380 0 20 Nov 2020
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training Zhou Zhou Shashank Jere Lizhong Zheng Lingjia Liu 168 7 0 10 Nov 2020
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis Ron J. Weiss RJ Skerry-Ryan Eric Battenberg Soroosh Mariooryad Diederik P. Kingma 183 106 0 06 Nov 2020
Imitation with Neural Density ModelsNeural Information Processing Systems (NeurIPS), 2020 Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 220 14 0 19 Oct 2020
On the representation and learning of monotone triangular transport mapsFoundations of Computational Mathematics (FoCM), 2020 Ricardo Baptista Youssef Marzouk O. Zahm 191 62 0 22 Sep 2020
Low-rank Characteristic Tensor Density Estimation Part I: FoundationsIEEE Transactions on Signal Processing (TSP), 2020 Magda Amiridi Nikos Kargas N. Sidiropoulos 213 26 0 27 Aug 2020
Estimating Causal Effects with the Neural Autoregressive Density Estimator Sergio Garrido S. Borysov Jeppe Rich Francisco Câmara Pereira CML 172 9 0 17 Aug 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 310 95 0 06 Jul 2020
Deep neural networks for the evaluation and design of photonic devices Jiaqi Jiang Ming-Keh Chen Jonathan A. Fan 253 459 0 30 Jun 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 284 9 0 26 Jun 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 161 62 0 25 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 178 32 0 22 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 296 62 0 22 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 345 49 0 17 Jun 2020
Density Deconvolution with Normalizing Flows Tim Dockhorn James A. Ritchie Yaoliang Yu Iain Murray DRL 166 6 0 16 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko Pavel Izmailov A. Wilson OODD 248 313 0 15 Jun 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 174 3 0 12 Apr 2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Elad Amrani Rami Ben-Ari Daniel Rotman A. Bronstein 316 129 0 06 Mar 2020
Gradient Boosted Normalizing Flows Robert Giaquinto A. Banerjee BDL DRL 233 1 0 27 Feb 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer FlowNeural Information Processing Systems (NeurIPS), 2020 Didrik Nielsen Ole Winther MQ 422 13 0 06 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 168 130 0 06 Feb 2020
Learning Discrete Distributions by Dequantization Emiel Hoogeboom Taco S. Cohen Jakub M. Tomczak DRL 163 36 0 30 Jan 2020
Normalizing Flows for Probabilistic Modeling and InferenceJournal of machine learning research (JMLR), 2019 George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 696 2,052 0 05 Dec 2019
Histogram Transform Ensembles for Density Estimation H. Hang 103 0 0 24 Nov 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 195 51 0 29 Oct 2019
Marginally-calibrated deep distributional regressionJournal of Computational And Graphical Statistics (JCGS), 2019 Nadja Klein David J. Nott M. Smith UQCV 306 14 0 26 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 160 5 0 05 Aug 2019
Neural Spline FlowsNeural Information Processing Systems (NeurIPS), 2019 Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 971 891 0 10 Jun 2019
Best-scored Random Forest Density Estimation H. Hang Hongwei Wen 99 1 0 09 May 2019
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators Tomoharu Iwata Yuki Yamanaka 118 13 0 12 Apr 2019
Autoregressive Energy Machines C. Nash Conor Durkan 106 56 0 11 Apr 2019
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications Zhipeng Wang D. W. Scott 221 77 0 30 Mar 2019
General Probabilistic Surface Optimization and Log Density Estimation Dmitry Kopitkov Vadim Indelman 337 1 0 25 Mar 2019
Multi-Attribute Selectivity Estimation Using Deep Learning Shohedul Hasan Saravanan Thirumuruganathan Jees Augustine Nick Koudas Gautam Das 210 26 0 24 Mar 2019
Implicit Generation and Generalization in Energy-Based Models Yilun Du Igor Mordatch BDL DiffM 152 40 0 20 Mar 2019
Approximating exponential family models (not single distributions) with a two-network architecture Sean R. Bittner John P. Cunningham 81 4 0 18 Mar 2019
Unpriortized Autoencoder For Image GenerationInternational Conference on Information Photonics (ICIP), 2019 Jaeyoung Yoo Hojun Lee Nojun Kwak SyDa SSL GAN DRL 171 4 0 12 Feb 2019