The Rise of Diffusion Models in Time-Series Forecasting

5 January 2024

Papers citing "The Rise of Diffusion Models in Time-Series Forecasting"

38 / 38 papers shown

Title
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Soon Hoe Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 83 2 0 04 Oct 2024
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 60 55 0 08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 76 56 0 07 Jun 2023
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit Ping Chang Huayu Li S. Quan Shuyang Lu Shu-Fen Wung Janet Roveda Ao Li DiffM 54 20 0 16 Jan 2023
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong Mukai Li Jiangtao Feng Zhiyong Wu Lingpeng Kong 87 333 0 17 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 135 1,528 0 05 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,889 0 26 Jul 2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation Dongchao Yang Jianwei Yu Helin Wang Wen Wang Chao Weng Yuexian Zou Dong Yu DiffM 85 304 0 20 Jul 2022
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections Albert Gu Isys Johnson Aman Timalsina Atri Rudra Christopher Ré Mamba 157 97 0 24 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 69 82 0 13 Jun 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 222 295 0 23 May 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 204 1,610 0 07 Apr 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 125 266 0 16 Mar 2022
Dynamic Dual-Output Diffusion Models Yaniv Benny Lior Wolf DiffM 61 26 0 08 Mar 2022
It's Raw! Audio Generation with State-Space Models Karan Goel Albert Gu Chris Donahue Christopher Ré 55 191 0 20 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 231 1,404 0 30 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 416 15,486 0 20 Dec 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 51 539 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 157 936 0 07 Jul 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 156 1,220 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 222 7,831 0 11 May 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 92 500 0 08 Mar 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 91 318 0 28 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 330 6,453 0 26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 152 1,456 0 21 Sep 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 112 517 0 17 Aug 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 69 910 0 08 Jul 2020
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 56 227 0 07 Oct 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 108 417 0 17 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 414 5,103 0 19 Jun 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 278 9,760 0 25 Oct 2017
Evaluating probabilistic forecasts with scoringRules Alexander I. Jordan Fabian Kruger Sebastian Lerch AI4TS 161 237 0 14 Sep 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 106 2,005 0 21 Mar 2017
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,391 0 12 Sep 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 308 1,936 0 06 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,931 0 12 Mar 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,553 0 10 Sep 2014