Neural Autoregressive Distribution Estimation

7 May 2016

Papers citing "Neural Autoregressive Distribution Estimation"

50 / 156 papers shown

Title
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform Yohannis Telila Tommaso Cucinotta D. Bacciu ViT 41 0 0 07 May 2025
Distilling semantically aware orders for autoregressive image generation Rishav Pramanik Antoine Poupon Juan A. Rodriguez Masih Aminbeidokhti David Vazquez Christopher Pal Zhaozheng Yin M. Pedersoli 31 0 0 23 Apr 2025
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data P. Tiwald Ivona Krchova Andrey Sidorenko Mariana Vargas-Vieyra Mario Scriminaci Michael Platzer 49 1 0 21 Jan 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 68 1 0 03 Jan 2025
Randomized Autoregressive Visual Generation Qihang Yu Ju He XueQing Deng Xiaohui Shen Liang-Chieh Chen VGen DiffM 57 30 1 01 Nov 2024
Full-waveform earthquake source inversion using simulation-based inference A. A. Saoulis Davide Piras A. Spurio Mancini B. Joachimi A. M. G. Ferreira 40 0 0 30 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 51 4 0 20 Oct 2024
A theoretical perspective on mode collapse in variational inference Roman Soletskyi Marylou Gabrié Bruno Loureiro DRL 37 2 0 17 Oct 2024
Generalized Distribution Prediction for Asset Returns Ísak Pétursson María Óskarsdóttir AIFin 29 0 0 15 Oct 2024
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement Yuxi Xie Anirudh Goyal Xiaobao Wu Xunjian Yin Xiao Xu Min-Yen Kan Liangming Pan William Yang Wang LRM 128 1 0 12 Oct 2024
Embed and Emulate: Contrastive representations for simulation-based inference Ruoxi Jiang Peter Y. Lu Rebecca Willett 34 0 0 27 Sep 2024
Autoregressive model path dependence near Ising criticality Yi Hong Teoh R. Melko AI4CE 41 1 0 28 Aug 2024
Self-Supervised Learning Based Handwriting Verification Mihir Chauhan Mohammad Abuzar Shaikh Abhishek Satbhai Mir Basheer Ali B. Ramamurthy Mingchen Gao Siwei Lyu Sargur Srihari 24 2 0 28 May 2024
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models Qunlong Ma Zhi Ma Jinlong Xu Hairui Zhang Ming Gao 32 5 0 09 Apr 2024
A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators M. Rautela Alan Williams A. Scheinker 52 4 0 19 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 34 12 0 27 Feb 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications Gaurav Raut Apoorv Singh VLM MedIm 43 6 0 26 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 38 2 0 05 Feb 2024
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 38 3 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 0 22 Dec 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 44 10 0 31 Oct 2023
Serenade: A Model for Human-in-the-loop Automatic Chord Estimation Hendrik Vincent Koops G. Micchi Ilaria Manco Elio Quinton 25 0 0 17 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 40 8 0 10 Oct 2023
Masked Autoencoders are Efficient Continual Federated Learners Subarnaduti Paul Lars-Joel Frey Roshni Kamath Kristian Kersting Martin Mundt CLL FedML 26 1 0 06 Jun 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 54 12 0 16 May 2023
Mutual information of spin systems from autoregressive neural networks P. Białas P. Korcyl T. Stebel 32 3 0 26 Apr 2023
Generative Modeling via Hierarchical Tensor Sketching Yifan Peng Yian Chen E. Stoudenmire Y. Khoo 23 13 0 11 Apr 2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era Chaoning Zhang Chenshuang Zhang Chenghao Li Yu Qiao Sheng Zheng ... Sung-Ho Bae Lik-Hang Lee Pan Hui In So Kweon Choong Seon Hong LM&MA AI4MH LRM ELM 44 130 0 04 Apr 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 36 21 0 25 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 85 159 0 21 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 54 872 0 02 Mar 2023
Generative Models for 3D Point Clouds Lingjie Kong P. Rajak Siamak Shakeri 3DPC 19 4 0 26 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts Yusuke Hatanaka Yannik Glaser Geoff Galgon G. Torri Peter Sadowski DiffM 29 19 0 01 Feb 2023
UniMASK: Unified Inference in Sequential Decision Problems Micah Carroll Orr Paradise Jessy Lin Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 26 21 0 20 Nov 2022
Are Deep Sequence Classifiers Good at Non-Trivial Generalization? Francesco Cazzaro A. Quattoni X. Carreras MQ 26 0 0 24 Oct 2022
Neural Graphical Models H. Shrivastava Urszula Chajewska 38 10 0 02 Oct 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection Daniel DeAlcala Aythami Morales Ruben Tolosana A. Acien Julian Fierrez Santiago Hernandez Miguel A. Ferrer Moisés Díaz DeLMO 16 3 0 27 Jul 2022
Neural Inverse Transform Sampler Henry Li Y. Kluger 19 4 0 22 Jun 2022
Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata Tianyu Li Bogdan Mazoure Guillaume Rabusseau 23 0 0 08 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 35 23 0 26 May 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 35 32 0 17 Mar 2022
General-purpose, long-context autoregressive modeling with Perceiver AR Curtis Hawthorne Andrew Jaegle Cătălina Cangea Sebastian Borgeaud C. Nash ... Hannah R. Sheahan Neil Zeghidour Jean-Baptiste Alayrac João Carreira Jesse Engel 43 65 0 15 Feb 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Ziqiang Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 19 103 0 03 Feb 2022
Gradient estimators for normalising flows P. Białas P. Korcyl T. Stebel BDL 19 3 0 02 Feb 2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation Xingguang Yan Liqiang Lin Niloy J. Mitra Dani Lischinski Daniel Cohen-Or Hui Huang ViT 73 114 0 25 Jan 2022
Spiral Language Modeling Yong Cao Yukun Feng Shaohui Kuang Gu Xu 19 0 0 20 Dec 2021
HyperSPNs: Compact and Expressive Probabilistic Circuits Andy Shih Dorsa Sadigh Stefano Ermon TPM 16 10 0 02 Dec 2021
A Bayesian generative neural network framework for epidemic inference problems I. Biazzo Alfredo Braunstein Luca DallÁsta Fabio Mazza 24 16 0 05 Nov 2021