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07/13/2023
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing
Temporal sequences have become pervasive in various real-world applicati...
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12/25/2022
Modeling Time-Series and Spatial Data for Recommendations and Other Applications
With the research directions described in this thesis, we seek to addres...
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08/29/2022
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs
Current approaches for points-of-interest (POI) recommendation learn the...
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06/23/2022
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
A large fraction of data generated via human activities such as online p...
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06/10/2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences
Any human activity can be represented as a temporal sequence of actions ...
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02/17/2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Recent developments in predictive modeling using marked temporal point p...
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01/16/2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Variability in social app usage across regions results in a high skew of...
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11/13/2021
Learning Neural Models for Continuous-Time Sequences
The large volumes of data generated by human activities such as online p...
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09/13/2021
Region Invariant Normalizing Flows for Mobility Transfer
There exists a high variability in mobility data volumes across differen...
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04/30/2021
