The Applications of Alternating Minimization Algorithms on Deep Learning Models

Fast Gaussian Process Solver

Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially Variant Blur

Acceleration Algorithms for Machine Learning Models

Generating Graphs with Deep Learning and Graph Theory

Unsupervised, Context-Aware Emotion Classification of College-Related Reddit Posts

Variance Reduction Methods for High-Dimensional Optimal Control Problems

Differential Equation Interpretation of Deep Neural Networks

Fair Clustering Problems

Smoothing Tensor Factorization on Spatio-Temporal Data

Smart Initialization for Smooth and Sparse Tensor Factorization

Multiresolution Methods for Convolutional Neural Networks

Automatic Strut Detection of Bioresorbable Stent from Optical Coherence Tomography Images

A Stochastic Model for Networks that Arise from Conference Scheduling Problems

Locally nearly perfect packings

Practical Image Deblurring with Synthetic Boundary Conditions, with GPUs, and with Multiple Frames

Large-Scale Inverse Problems in Imaging: Two Case Studies

Assimilation of velocity data into fluid dynamic simulations, an application to computational hemodynamics

Scalable Efficient Methods for Incompressible Fluid-dynamics in Engineering Problems