Transformation Autoregressive Networks

30 January 2018

Junier B. Oliva

Papers citing "Transformation Autoregressive Networks"

20 / 20 papers shown

Title
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan V. Oseledets Yipeng Liu 28 1 0 13 Dec 2023
Are Deep Sequence Classifiers Good at Non-Trivial Generalization? Francesco Cazzaro A. Quattoni X. Carreras MQ 26 0 0 24 Oct 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey S. Voloshynovskiy T. Golling TPM 35 4 0 15 Dec 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 23 87 0 14 Oct 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 20 16 0 24 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation Chris Waites Rachel Cummings 19 15 0 25 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 119 95 0 10 Dec 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 12 30 0 06 Apr 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 24 179 0 14 Feb 2020
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 12 1 0 02 Dec 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 16 223 0 07 Oct 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 45 57 0 05 Jun 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 14 141 0 07 May 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever D. Duvenaud DRL 17 848 0 02 Oct 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 19 432 0 03 Apr 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016