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AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models

16 July 2024

Papers citing "AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models"

46 / 46 papers shown

Title
GenAI for Simulation Model in Model-Based Systems Engineering Lin Zhang Yu Zhang Dusit Niyato Lei Ren Pengfei Gu Zhen Chen Y. Laili Wentong Cai Agostino Bruzzone AI4CE 71 0 0 09 Mar 2025
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models Jiao Chen Jiayi He Fangfang Chen Zuohong Lv Jianhua Tang Weihua Li Zuozhu Liu Howard H. Yang Guangjie Han AI4CE 79 1 0 02 Sep 2024
Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era Lei Ren Haiteng Wang Y. Laili AI4CE 83 8 0 16 Jul 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 175 21 0 28 Feb 2024
Fair Sampling in Diffusion Models through Switching Mechanism Yujin Choi Jinseong Park Hoki Kim Jaewook Lee Saeroom Park DiffM 104 8 0 06 Jan 2024
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 120 9 0 18 Dec 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 115 21 0 07 Sep 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models Zhaopeng Gu Bingke Zhu Guibo Zhu Yingying Chen Ming Tang Jinqiao Wang VLM MLLM 99 114 0 29 Aug 2023
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features Alberto Baldrati Marco Bertini Tiberio Uricchio A. Bimbo CLIP CoGe 66 35 0 22 Aug 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models Korawat Tanwisuth Shujian Zhang Huangjie Zheng Pengcheng He Mingyuan Zhou VLM VPVLM 182 28 0 29 Apr 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 84 63 0 25 Apr 2023
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions Jiawei Xiong Olga Fink Jian Zhou Yizhong Ma AI4CE 148 41 0 23 Apr 2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future Jianing Qiu Lin Li Jiankai Sun Jiachuan Peng Peilun Shi ... Bo Xiao Wu Yuan Ningli Wang Dong Xu Benny Lo AI4MH LM&MA 114 140 0 21 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.6K 14,828 0 15 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 105 554 0 07 Mar 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 156 439 0 23 Feb 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 110 1,439 0 27 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey Amirhossein Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu Dorit Merhof DiffM MedIm 135 396 0 14 Nov 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning Yaqing Wang Sahaj Agarwal Subhabrata Mukherjee Xiaodong Liu Jing Gao Ahmed Hassan Awadallah Jianfeng Gao MoE 107 136 0 31 Oct 2022
Structure-based Drug Design with Equivariant Diffusion Models Arne Schneuing Yuanqi Du Charles Harris Arian R. Jamasb Ilia Igashov ... Pietro Lio Carla P. Gomes Max Welling Michael M. Bronstein B. Correia DiffM 153 227 0 24 Oct 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 363 1,255 0 10 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 233 238 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 485 1,420 0 02 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 250 837 0 27 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 469 6,941 0 13 Apr 2022
Generating Privacy-Preserving Process Data with Deep Generative Models Keyi Li Sen Yang Travis M. Sullivan R. Burd I. Marsic SyDa 58 4 0 15 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 924 13,266 0 04 Mar 2022
Competition-Level Code Generation with AlphaCode Yujia Li David Choi Junyoung Chung Nate Kushman Julian Schrittwieser ... Esme Sutherland Robson Pushmeet Kohli Nando de Koray Kavukcuoglu Oriol Vinyals 183 1,437 0 08 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 577 15,840 0 20 Dec 2021
Sig-Wasserstein GANs for Time Series Generation Hao Ni Lukasz Szpruch Marc Sabate Vidales Baoren Xiao Magnus Wiese Shujian Liao SyDa AI4TS 91 77 0 01 Nov 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series Paul Jeha Michael Bohlke-Schneider Pedro Mercado Shubham Kapoor Rajbir-Singh Nirwan Valentin Flunkert Jan Gasthaus Tim Januschowski AI4TS 107 51 0 02 Aug 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 89 158 0 16 Jul 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 81 557 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 266 950 0 07 Jul 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee Seungu Han DiffM 76 70 0 06 Apr 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 465 6,599 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 196 1,471 0 21 Sep 2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey Nan Gao Hao Xue Wei Shao Sichen Zhao K. K. Qin Arian Prabowo Mohammad Saiedur Rahaman Flora D. Salim GAN AI4TS AI4CE 110 111 0 18 Aug 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 928 18,496 0 19 Jun 2020
Generative Models for Effective ML on Private, Decentralized Datasets S. Augenstein H. B. McMahan Daniel Ramage Swaroop Indra Ramaswamy Peter Kairouz Mingqing Chen Rajiv Mathews Blaise Agüera y Arcas SyDa 87 183 0 15 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 264 3,968 0 12 Jul 2019
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series Wenqian Jiang Cheng Cheng Beitong Zhou Guijun Ma Ye Yuan AI4CE 89 130 0 01 Apr 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 80 787 0 15 Jan 2019
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 320 7,048 0 12 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 497 16,908 0 20 Dec 2013
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 392 25,865 0 09 Jun 2011