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05/30/2022
Two improvements of the foliation based quad meshing method
Quadrilateral meshes with high level structure and feature preserving pr...
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05/13/2022
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
Linear Mixed-Effects (LME) models are a fundamental tool for modeling co...
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09/25/2021
Analysis and Methods to Mitigate Effects of Under-reporting in Count Data
Under-reporting of count data poses a major roadblock for prediction and...
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10/30/2019
Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models
Dynamic inference problems in autoregressive (AR/ARMA/ARIMA), exponentia...
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09/24/2019
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Mixed effects (ME) models inform a vast array of problems in the physica...
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06/25/2019
A unified sparse optimization framework to learn parsimonious physics-informed models from data
Machine learning (ML) is redefining what is possible in data-intensive f...
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07/15/2018
Object Detection with Deep Learning: A Review
Due to object detection's close relationship with video analysis and ima...
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07/14/2018
Sparse Relaxed Regularized Regression: SR3
Regularized regression problems are ubiquitous in statistical modeling, ...
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07/09/2018
Computer Assisted Localization of a Heart Arrhythmia
We consider the problem of locating a point-source heart arrhythmia usin...
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05/24/2018
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
Many real-world data sets, especially in biology, are produced by highly...
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05/19/2018
M-estimation with the Trimmed l1 Penalty
We study high-dimensional M-estimators with the trimmed ℓ_1 penalty. Whi...
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07/31/2017
Learning Robust Representations for Computer Vision
Unsupervised learning techniques in computer vision often require learni...
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06/06/2017
