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Fast and Flexible Temporal Point Processes with Triangular Maps

22 June 2020

Stephan Günnemann

Papers citing "Fast and Flexible Temporal Point Processes with Triangular Maps"

29 / 29 papers shown

Title
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 77 295 0 21 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 207 1,697 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 511 42,449 0 03 Dec 2019
Uncertainty on Asynchronous Time Event Prediction Marin Bilos Bertrand Charpentier Stephan Günnemann AI4TS 49 44 0 13 Nov 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 61 172 0 26 Sep 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 72 412 0 25 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 178 775 0 10 Jun 2019
Fully Neural Network based Model for General Temporal Point Processes T. Omi N. Ueda Kazuyuki Aihara BDL AI4TS 48 179 0 23 May 2019
Moment-Based Variational Inference for Markov Jump Processes C. Wildner Heinz Koeppl 56 10 0 14 May 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 59 143 0 07 May 2019
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes Christian Donner Manfred Opper 65 36 0 02 Aug 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 50 10 0 23 May 2018
Deep Reinforcement Learning of Marked Temporal Point Processes U. Upadhyay A. De Manuel Gomez Rodriguez BDL OffRL 56 112 0 23 May 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 178 691 0 15 Nov 2017
Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling Emmanuel Bacry Martin Bompaire Stéphane Gaïffas Søren Poulsen 67 71 0 10 Jul 2017
Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao Mehrdad Farajtabar X. Ye Junchi Yan Le Song H. Zha DiffM 56 170 0 23 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 210 1,354 0 19 May 2017
Efficient parameter sampling for Markov jump processes Boqian Zhang Vinayak A. Rao 107 8 0 07 Apr 2017
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference Ahmed Alaa M. Schaar 55 32 0 18 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
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 7,399 0 12 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,513 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 139 1,820 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 266 3,702 0 26 May 2016
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 126 1,145 0 05 Nov 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 172 868 0 12 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data Thomas A. Lasko 75 45 0 19 Feb 2014
Fast MCMC sampling for Markov jump processes and extensions Vinayak A. Rao Yee Whye Teh 85 117 0 23 Aug 2012