ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences

10 June 2022

Papers citing "ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences"

10 / 10 papers shown

Title
Transfer Learning with Point Transformers Kartik Gupta Rahul Vippala Sahima Srivastava 3DPC 20 0 0 01 Apr 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 65 27 0 16 Feb 2024
A Survey on Deep Learning Techniques for Action Anticipation Zeyun Zhong Manuel Martin Michael Voit Juergen Gall Jürgen Beyerer 24 7 0 29 Sep 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows Vinayak Gupta Srikanta J. Bedathur AI4TS 19 1 0 13 Jul 2023
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing Vinayak Gupta Srikanta J. Bedathur A. De AI4TS 20 1 0 13 Jul 2023
Modeling Events and Interactions through Temporal Processes -- A Survey Angelica Liguori Luciano Caroprese Marco Minici Bruno Veloso Francesco Spinnato M. Nanni Giuseppe Manco João Gama AI4TS 18 2 0 10 Mar 2023
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs Yuan Yuan Huandong Wang Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 14 30 0 09 Feb 2023
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs Vinayak Gupta Srikanta J. Bedathur 11 2 0 29 Aug 2022
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes Vinayak Gupta Srikanta J. Bedathur Sourangshu Bhattacharya A. De AI4TS 29 13 0 23 Jun 2022
Region Invariant Normalizing Flows for Mobility Transfer Vinayak Gupta Srikanta J. Bedathur 55 12 0 13 Sep 2021