Search Results for author: P. Jeffrey Brantingham

Found 11 papers, 0 papers with code

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data

no code implementations2 Apr 2018 Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham

We present a generic framework for spatio-temporal (ST) data modeling, analysis, and forecasting, with a special focus on data that is sparse in both space and time.

Latent Self-Exciting Point Process Model for Spatial-Temporal Networks

no code implementations12 Feb 2013 Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George Tita

We propose a latent self-exciting point process model that describes geographically distributed interactions between pairs of entities.

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction

no code implementations15 Nov 2018 Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter

There is often latent network structure in spatial and temporal data and the tools of network analysis can yield fascinating insights into such data.

Semi-Supervised First-Person Activity Recognition in Body-Worn Video

no code implementations19 Apr 2019 Honglin Chen, Hao Li, Alexander Song, Matt Haberland, Osman Akar, Adam Dhillon, Tiankuang Zhou, Andrea L. Bertozzi, P. Jeffrey Brantingham

Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage.

Activity Recognition

Computing Equilibria in Binary Networked Public Goods Games

no code implementations13 Nov 2019 Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik

Public goods games study the incentives of individuals to contribute to a public good and their behaviors in equilibria.

Computer Science and Game Theory

Professional Basketball Player Behavior Synthesis via Planning with Diffusion

no code implementations7 Jun 2023 Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang

To accomplish reward-guided trajectory generation, conditional sampling is introduced to condition the diffusion model on the value function and conduct classifier-guided sampling.

Decision Making

Improving Event Definition Following For Zero-Shot Event Detection

no code implementations5 Mar 2024 Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng

We hypothesize that a diverse set of event types and definitions are the key for models to learn to follow event definitions while existing event extraction datasets focus on annotating many high-quality examples for a few event types.

Event Detection Event Extraction

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