Neural Autoregressive Flows

3 April 2018

Aaron Courville

Papers citing "Neural Autoregressive Flows"

50 / 78 papers shown

Title
Towards Hierarchical Rectified Flow Yichi Zhang Yici Yan A. Schwing Zhizhen Zhao 41 1 0 24 Feb 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 113 0 0 20 Jan 2025
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 34 0 0 09 Oct 2024
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement Jing Du Zesheng Ye Bin Guo Zhiwen Yu Lina Yao 36 1 0 06 Apr 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 19 5 0 02 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 49 7 0 02 Feb 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 24 2 0 22 Jan 2024
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows Jia Yu Tee Oliver De Candido Wolfgang Utschick Philipp Geiger 27 0 0 22 May 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 31 24 0 27 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 26 504 0 07 Mar 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 30 41 0 06 Feb 2023
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN Adam Kania Artur Kasymov Maciej Ziȩba P. Spurek 30 9 0 27 Jan 2023
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 28 4 0 30 Nov 2022
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks Carlos Martin T. Sandholm 26 11 0 29 Nov 2022
Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions Luca Thiede Chong Sun A. Aspuru‐Guzik 19 1 0 27 Nov 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 34 7 0 25 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 28 2 0 18 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 29 14 0 12 Oct 2022
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 19 0 0 04 Oct 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 28 6 0 22 Sep 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 37 4 0 03 Aug 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 37 8 0 28 Jun 2022
Modular Conformal Calibration Charles Marx Shengjia Zhao W. Neiswanger Stefano Ermon 29 15 0 23 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Q. Ye Yuanzhe Xi TPM 20 4 0 05 Jun 2022
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 13 25 0 24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 43 18 0 23 May 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence Andrew McDonald Pang-Ning Tan Lifeng Luo 21 9 0 02 May 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei-Neng Chen Jian Xu Delu Zeng 22 6 0 19 Mar 2022
Differentiable Causal Discovery Under Latent Interventions Gonccalo R. A. Faria André F. T. Martins Mário A. T. Figueiredo BDL CML OOD 45 23 0 04 Mar 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates N. J. Irons M. Scetbon Soumik Pal Zaïd Harchaoui 22 17 0 31 Dec 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 22 22 0 24 Nov 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 21 87 0 14 Oct 2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann 3DH 19 74 0 19 Aug 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 27 15 0 28 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 352 0 29 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 22 10 0 25 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 18 16 0 24 Jun 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 24 81 0 17 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 30 186 0 05 Jun 2021
Normalizing Flows for Knockoff-free Controlled Feature Selection Derek Hansen Brian Manzo Jeffrey Regier OOD 27 5 0 03 Jun 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 22 17 0 31 May 2021
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation Chris Waites Rachel Cummings 9 15 0 25 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 36 478 0 08 Mar 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 19 14 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 31 336 0 20 Nov 2020
Self Normalizing Flows Thomas Anderson Keller Jorn W. T. Peters P. Jaini Emiel Hoogeboom Patrick Forré Max Welling 24 14 0 14 Nov 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 19 19 0 10 Jul 2020