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08/10/2023
From CNN to Transformer: A Review of Medical Image Segmentation Models
Medical image segmentation is an important step in medical image analysi...
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06/20/2023
Deep graph kernel point processes
Point process models are widely used to analyze asynchronous events occu...
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11/28/2022
Online Kernel CUSUM for Change-Point Detection
We develop an online kernel Cumulative Sum (CUSUM) procedure, which cons...
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10/24/2022
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence
Sepsis is a severe medical condition caused by a dysregulated host respo...
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06/02/2022
Invertible Neural Networks for Graph Prediction
In this work, we address conditional generation using deep invertible ne...
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09/24/2021
Sinkhorn Distributionally Robust Optimization
We study distributionally robust optimization with Sinkorn distance – a ...
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05/07/2021
Kernel MMD Two-Sample Tests for Manifold Data
We present a study of kernel MMD two-sample test statistics in the manif...
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03/30/2021
Data-Driven Optimization for Police Zone Design
We present a data-driven optimization framework for redesigning police p...
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10/18/2020
Conformal prediction interval for dynamic time-series
We develop a method to build distribution-free prediction intervals in b...
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02/01/2019
Crime Linkage Detection by Spatial-Temporal-Textual Point Processes
Crimes emerge out of complex interactions of behaviors and situations; t...
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05/25/2015
