Masked Autoregressive Flow for Density Estimation

19 May 2017

Papers citing "Masked Autoregressive Flow for Density Estimation"

50 / 52 papers shown

Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 63 0 0 19 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 93 0 0 02 May 2025
Graphical Transformation Models Matthias Herp Johannes Brachem Michael Altenbuchinger Thomas Kneib 135 0 0 22 Mar 2025
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class Annie D'souza Swetha M Sunita Sarawagi 120 1 0 20 Feb 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni Louis Rouillard Demian Wassermann 119 0 0 28 Jan 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 159 0 0 20 Jan 2025
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation Yifei Xiong Xiliang Yang Sanguo Zhang Zhijian He 201 2 0 17 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 72 2 0 03 Jan 2025
Simulation-based Inference for Cardiovascular Models Antoine Wehenkel Laura Manduchi Jens Behrmann Guillermo Sapiro Andrew C. Miller Marco Cuturi Ozan Sener Marco Cuturi J. Jacobsen 170 9 0 31 Dec 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows Sandeep Nagar Girish Varma TPM 60 0 0 18 Oct 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 156 4 0 23 Aug 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 93 8 0 21 Aug 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 80 2 0 29 Jul 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 153 0 0 22 Jul 2024
Information Theoretic Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Massimo Gallo Pietro Michiardi 104 0 0 31 May 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 77 0 0 30 May 2024
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels Patryk Wielopolski Oleksii Furman Łukasz Lenkiewicz Jerzy Stefanowski Maciej Ziȩba 54 0 0 27 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 136 3 0 29 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 110 8 0 08 Apr 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 108 96 0 27 Feb 2024
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 62 1 0 15 Jun 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 78 5 0 19 May 2023
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 70 180 0 06 Nov 2019
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 185 858 0 28 Nov 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 77 939 0 19 Jan 2017
Maximum Entropy Flow Networks Gabriel Loaiza-Ganem Yuanjun Gao John P. Cunningham 50 27 0 12 Jan 2017
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 165 143 0 31 Oct 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 352 7,381 0 12 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 169 2,503 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 107 1,816 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 233 3,689 0 26 May 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 134 158 0 20 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 168 2,339 0 09 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 70 314 0 07 May 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 135 110 0 22 Feb 2016
Parameterized Machine Learning for High-Energy Physics Pierre Baldi Kyle Cranmer Taylor Faucett Peter Sadowski D. Whiteson AI4CE PINN 67 240 0 28 Jan 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 433 2,566 0 25 Jan 2016
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 41 386 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 98 1,145 0 05 Nov 2015
Generative Image Modeling Using Spatial LSTMs Lucas Theis Matthias Bethge GAN VLM 58 200 0 10 Jun 2015
Neural Adaptive Sequential Monte Carlo S. Gu Zoubin Ghahramani Richard Turner BDL 61 147 0 10 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 286 4,167 0 21 May 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 148 867 0 12 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 413 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 118 2,256 0 30 Oct 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013
A Deep and Tractable Density Estimator Benigno Uria Iain Murray Hugo Larochelle BDL 91 193 0 07 Oct 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 92 238 0 02 Jun 2013
High-Dimensional Probability Estimation with Deep Density Models Oren Rippel Ryan P. Adams 141 124 0 20 Feb 2013