Neural Autoregressive Distribution Estimation

7 May 2016

Papers citing "Neural Autoregressive Distribution Estimation"

50 / 156 papers shown

Title
Discovering Non-monotonic Autoregressive Orderings with Variational Inference Xuanlin Li Brandon Trabucco Dongmin Park Michael Luo S. Shen Trevor Darrell Yang Gao 19 12 0 27 Oct 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 56 13 0 15 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
Autoregressive neural-network wavefunctions for ab initio quantum chemistry Thomas D. Barrett A. Malyshev A. Lvovsky 41 69 0 26 Sep 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 20 7 0 25 Sep 2021
Attentive Contractive Flow with Lipschitz-constrained Self-Attention Avideep Mukherjee Badri N. Patro Vinay P. Namboodiri 17 0 0 24 Sep 2021
Stationary Density Estimation of Itô Diffusions Using Deep Learning Yiqi Gu J. Harlim Senwei Liang Haizhao Yang 21 12 0 09 Sep 2021
Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences S. Menary D. Price 16 0 0 25 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 38 156 0 19 Aug 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 14 25 0 24 Jun 2021
Distilling the Knowledge from Conditional Normalizing Flows Dmitry Baranchuk Vladimir Aliev Artem Babenko BDL 36 2 0 24 Jun 2021
The DEformer: An Order-Agnostic Distribution Estimating Transformer Michael A. Alcorn Anh Totti Nguyen 13 4 0 13 Jun 2021
Probabilistic Discriminative Models Address the Tactile Perceptual Aliasing Problem John Lloyd Yijiong Lin Nathan Lepora 29 3 0 03 Jun 2021
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks Dian Wu R. Rossi Giuseppe Carleo 24 29 0 12 May 2021
Scaling of neural-network quantum states for time evolution Sheng-Hsuan Lin F. Pollmann 21 25 0 21 Apr 2021
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech Muhammad Zohaib Khan ELM AILaw 19 3 0 12 Mar 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 24 24 0 11 Mar 2021
Composable Generative Models Johan Leduc Nicolas Grislain SyDa 33 4 0 18 Feb 2021
Few-shot time series segmentation using prototype-defined infinite hidden Markov models Yazan K. Qarout Yordan P. Raykov Max A. Little AI4TS 6 0 0 07 Feb 2021
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter Elena Zotova Rodrigo Agerri German Rigau 34 19 0 28 Jan 2021
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 31 8 0 21 Dec 2020
Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked Gibbs Sampling Chung-En Sun Yi-Wei Chen Hung-Shin Lee Yen-Hsing Chen Hsin-Min Wang 15 14 0 26 Oct 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 29 58 0 22 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 39 11 0 19 Oct 2020
InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction Hansi Hettiarachchi Tharindu Ranasinghe MedIm 8 21 0 11 Oct 2020
Benchmarking deep inverse models over time, and the neural-adjoint method Simiao Ren Willie J. Padilla Jordan M. Malof BDL PINN 12 41 0 27 Sep 2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior Shuyu Lin R. Clark DRL 21 4 0 31 Aug 2020
Low-rank Characteristic Tensor Density Estimation Part I: Foundations Magda Amiridi Nikos Kargas N. Sidiropoulos 19 19 0 27 Aug 2020
Generating Music with a Self-Correcting Non-Chronological Autoregressive Model Wayne Chi Prachi Kumar Suri Yaddanapudi Rahul Suresh Umut Isik KELM 16 10 0 18 Aug 2020
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows Chris Cannella Mohammadreza Soltani Vahid Tarokh BDL 31 0 0 13 Jul 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 11 183 0 26 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning Sameer Khurana Antoine Laurent James R. Glass SSL 19 12 0 04 Jun 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Sameer Khurana Antoine Laurent Wei-Ning Hsu J. Chorowski A. Lancucki R. Marxer James R. Glass SSL BDL 24 29 0 03 Jun 2020
Hyperparameter optimization with REINFORCE and Transformers C. Krishna Ashish Gupta Swarnim Narayan Himanshu Rai Diksha Manchanda 19 2 0 01 Jun 2020
The Expressive Power of a Class of Normalizing Flow Models Zhifeng Kong Kamalika Chaudhuri TPM 16 51 0 31 May 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations Tomás Pevný Václav Smídl Martin Trapp Ondrej Polácek T. Oberhuber TPM 14 8 0 04 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 28 722 0 30 Apr 2020
Roundtrip: A Deep Generative Neural Density Estimator Qiao Liu Jiaze Xu R. Jiang W. Wong OT 29 4 0 20 Apr 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz Steven Braun Antonio Vergari Karl Stelzner Alejandro Molina Martin Trapp Mathias Niepert Kristian Kersting Zoubin Ghahramani TPM 14 121 0 13 Apr 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 20 30 0 06 Apr 2020
A Survey on Contextual Embeddings Qi Liu Matt J. Kusner Phil Blunsom 225 146 0 16 Mar 2020
Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis Yu He Yun Cai Yuanchen Guo Zheng-Ning Liu Shaokui Zhang Song-Hai Zhang H. Fu Shengyong Chen 3DV 8 3 0 09 Mar 2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning Elad Amrani Rami Ben-Ari Daniel Rotman A. Bronstein 17 121 0 06 Mar 2020
Testing Goodness of Fit of Conditional Density Models with Kernels Wittawat Jitkrittum Heishiro Kanagawa Bernhard Schölkopf 25 27 0 24 Feb 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 45 117 0 10 Feb 2020
Anomaly Detection with Density Estimation Benjamin Nachman David Shih 11 216 0 14 Jan 2020
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 36 519 0 20 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 57 1,625 0 05 Dec 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 26 825 0 04 Nov 2019