Computational transcranial magnetic stimulation (TMS) 

Object representation and magnetic moments in thin alkali films 

A structural econometric analysis of network and social interaction models 

Understanding sources of variability in learning robust deep audio representations 

Learning logical abstractions from sequential data 

Deep learning models for temporal data in health care 

When AI helps wildlife conservation: learning adversary behavior in green security games 

Understanding goal-oriented reinforcement learning 

Data-driven optimization for indoor localization 

Learning distributed representations from network data and human navigation 

Towards high-performance low-cost AMS designs: time-domain conversion and ML-based design automation 

Physics-aware graph networks for spatiotemporal physical systems 

Learning enabled optimization for data and decision sciences 

Quantum molecular dynamics and machine learning for non-equilibrium processes in quantum materials 

Model-based approaches to objective inference during steady-state and adaptive locomotor control 

Sociodemographic influences on the early caregiving environment and likelihood of autism 

Deep learning architectures for characterization and forecasting of fluid flow in subsurface systems 

Learning reaching skills in non-disabled and post-stroke individuals 

Sparse feature learning for dynamic subsurface imaging 

Learning and decision making in networked systems 

Verification, learning and control in cyber-physical systems 

Learning to optimize the geometry and appearance from images 

Data scarcity in robotics: leveraging structural priors and representation learning 

Estimation of nonlinear mixed effects mixture models with individually varying measurement occasions 

Characterizing and improving robot learning: a control-theoretic perspective