Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes

21 May 2023

Papers citing "Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes"

36 / 36 papers shown

Title
Deep spatio-temporal point processes: Advances and new directions Xiuyuan Cheng Zheng Dong Yao Xie AI4TS 44 0 0 08 Apr 2025
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making Prince Zizhuang Wang Jinhao Liang Shuyi Chen Ferdinando Fioretto Shixiang Zhu OffRL AI4CE 128 3 0 08 Feb 2025
Sequential Change Point Detection via Denoising Score Matching Wenbin Zhou Liyan Xie Zhigang Peng Shixiang Zhu 76 0 0 22 Jan 2025
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 52 1 0 17 Oct 2024
Spatio-temporal Diffusion Point Processes Yuan Yuan Jingtao Ding Chenyang Shao Depeng Jin Yong Li DiffM 42 46 0 21 May 2023
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 109 386 0 28 Nov 2022
Spatio-temporal point processes with deep non-stationary kernels Zheng Dong Xiuyuan Cheng Yao Xie BDL AI4TS 44 8 0 21 Nov 2022
Exploring Generative Neural Temporal Point Process Haitao Lin Lirong Wu Guojiang Zhao Pai Liu Stan Z. Li DiffM 37 26 0 03 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 86 3,830 0 26 Jul 2022
Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou Xingyi Yang Ryan Rossi Handong Zhao Rose Yu 3DPC 54 32 0 12 Dec 2021
A Temporal Variational Model for Story Generation David Wilmot Frank Keller DRL 67 8 0 14 Sep 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 140 1,089 0 01 Jul 2021
Neural Spectral Marked Point Processes Shixiang Zhu Haoyun Wang Zheng Dong Xiuyuan Cheng Yao Xie 17 14 0 20 Jun 2021
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes Maya Okawa Tomoharu Iwata Yusuke Tanaka Hiroyuki Toda Takeshi Kurashima H. Kashima AI4TS 26 10 0 24 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 83 493 0 08 Mar 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder Longyuan Li Junchi Yan Haiyang Wang Yaohui Jin BDL AI4TS 57 140 0 02 Feb 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 268 6,293 0 26 Nov 2020
Convergence of Graph Laplacian with kNN Self-tuned Kernels Xiuyuan Cheng Hau‐Tieng Wu 38 23 0 03 Nov 2020
Point process models for sequence detection in high-dimensional neural spike trains Alex H. Williams Anthony Degleris Yixin Wang Scott W. Linderman AI4TS 28 29 0 10 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 299 17,550 0 19 Jun 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 61 290 0 21 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 218 10,591 0 17 Feb 2020
Sequential Adversarial Anomaly Detection for One-Class Event Data Shixiang Zhu H. Yuchi Minghe Zhang Yao Xie 26 11 0 21 Oct 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 50 171 0 26 Sep 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 108 557 0 22 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 178 3,803 0 12 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 66 2,322 0 06 Jun 2019
Fully Neural Network based Model for General Temporal Point Processes T. Omi N. Ueda Kazuyuki Aihara BDL AI4TS 37 174 0 23 May 2019
Spatial-Temporal-Textual Point Processes for Crime Linkage Detection Shixiang Zhu Yao Xie 24 20 0 01 Feb 2019
Learning Temporal Point Processes via Reinforcement Learning Shuang Li Shuai Xiao Shixiang Zhu Nan Du Yao Xie Le Song AI4TS 45 105 0 12 Nov 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 371 8,999 0 10 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 184 6,780 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 850 149,474 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 210 10,365 0 06 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 68 2,731 0 20 Jun 2014