Shift-invariant autoregressive reconstruction for MRI 

Learning to diagnose from electronic health records data 

Invariant representation learning for robust and fair predictions 

Understanding sources of variability in learning robust deep audio representations 

Machine learning for efficient network management 

Tactile object localization: behavioral correlates, neural representations, and a deep learning hybrid model to classify touch 

Alleviating the noisy data problem using restricted Boltzmann machines 

Computer vision aided object localization for the visually impaired 

Edge-cloud collaboration for enhanced artificial intelligence 

Analog and mixed-signal parameter synthesis using machine learning and time-based circuit architectures 

A deep learning approach to online single and multiple object tracking 

Developing a neural prosthesis for hippocampus: proof-of-concept using the in vitro slice 

Point-based representations for 3D perception and reconstruction 

Graph embedding algorithms for attributed and temporal graphs 

Enhancing collaboration on the edge: communication, scheduling and learning 

Controlling information in neural networks for fairness and privacy 

Effective graph representation and vertex classification with machine learning techniques 

Molecular classification of breast cancer specimens from tissue morphology 

Remote exploration with robotic networks: queue-aware autonomy and collaborative localization 

Inferring mobility behaviors from trajectory datasets 

Sensory information processing by retinothalamic neural circuits 

3D deep learning for perception and modeling 

Efficient pipelines for vision-based context sensing 

Deep generative models for time series counterfactual inference 

Neighborhood and graph constructions using non-negative kernel regression (NNK)