Deep AutoRegressive Networks

31 October 2013

Ivo Danihelka

Papers citing "Deep AutoRegressive Networks"

50 / 64 papers shown

Title
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 31 1 0 12 May 2025
Direction-Aware Diagonal Autoregressive Image Generation Yijia Xu Jianzhong Ju Jian Luan J. Cui 57 0 0 14 Mar 2025
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation Zibo Zhao Zeqiang Lai Qingxiang Lin Yunfei Zhao Haolin Liu ... Jingwei Huang Chunchao Guo Jie Jiang Jingwei Huang Chunchao Guo 113 22 0 21 Jan 2025
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen Yao Liu Siliang Zeng Pratik Chaudhar Huzefa Rangwala George Karypis Rasool Fakoor SyDa AIFin 34 3 0 18 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture Dengsheng Chen Jie Hu Xiaoming Wei Enhua Wu DiffM 52 2 0 02 Oct 2024
Autoregressive Image Generation without Vector Quantization Tianhong Li Yonglong Tian He Li Mingyang Deng Kaiming He DiffM 62 183 0 17 Jun 2024
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0 Jianjun Zhu Fan Li Jinyuan Chen 29 6 0 22 Nov 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 23 20 0 17 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas Petros Koumoutsakos AI4TS AI4CE 23 7 0 22 Feb 2023
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems I. Biazzo AI4CE 34 7 0 16 Feb 2023
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 16 0 0 22 Nov 2022
Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions Amine MĆharrak Vít Ruzicka Sangyun Shin M. Vankadari DRL 8 0 0 23 Sep 2022
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications Tobias Thummerer Johannes Stoljar Lars Mikelsons AI4CE 40 9 0 08 Sep 2022
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 29 48 0 27 Dec 2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps Lu Mi Hang Zhao C. Nash Xiaohan Jin Jiyang Gao Chen Sun Cordelia Schmid Nir Shavit Yuning Chai Drago Anguelov 22 52 0 28 Jun 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
Self-supervised Learning of Point Clouds via Orientation Estimation Omid Poursaeed Tianxing Jiang Quintessa Qiao N. Xu Vladimir G. Kim 3DPC SSL 11 116 0 01 Aug 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows Derek Onken Lars Ruthotto BDL 32 51 0 27 May 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement W. Kool H. V. Hoof Max Welling BDL 31 49 0 14 Feb 2020
Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin F. Elsayed Prajit Ramachandran Jonathon Shlens Simon Kornblith 33 43 0 07 Feb 2020
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 31 41 0 20 Dec 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 22 12 0 01 Aug 2019
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Improved Gradient-Based Optimization Over Discrete Distributions Evgeny Andriyash Arash Vahdat W. Macready 16 9 0 29 Sep 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 31 16 0 05 Aug 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 10 165 0 24 Jul 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 30 29 0 28 May 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 37 75 0 14 Feb 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric Xing J. Schneider OOD 28 86 0 30 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 55 4,840 0 02 Nov 2017
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 30 332 0 28 Oct 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Semi-Latent GAN: Learning to generate and modify facial images from attributes Weidong Yin Yanwei Fu Leonid Sigal Xiangyang Xue GAN CVBM 28 43 0 07 Apr 2017
LogitBoost autoregressive networks M. Goessling TPM 13 5 0 22 Mar 2017
Stochastic Generative Hashing Bo Dai Ruiqi Guo Sanjiv Kumar Niao He Le Song TPM 35 106 0 11 Jan 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,505 0 02 Nov 2016
Example-Based Image Synthesis via Randomized Patch-Matching Yi Ren Yaniv Romano Michael Elad 3DV 28 9 0 23 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 35 254 0 07 Sep 2016
Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 17 395 0 03 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 55 1,797 0 15 Jun 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 42 313 0 07 May 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 30 254 0 16 Mar 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 21 42 0 24 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 26 184 0 20 Nov 2015