Learning Safe Policies with Expert Guidance. - Jessie Huang; Fa Wu; Doina Precup; Yang Cai 001 (NeurIPS, 2018)

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. - Alexander Tong 001; Jessie Huang; Guy Wolf; David van Dijk; Smita Krishnaswamy (ICML, 2020)

Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs. - Stefan Horoi; Jessie Huang; Guy Wolf; Smita Krishnaswamy (CoRR, 2021)

Exploring the Geometry and Topology of Neural Network Loss Landscapes. - Stefan Horoi; Jessie Huang; Bastian Rieck; Guillaume Lajoie; Guy Wolf; Smita Krishnaswamy (IDA, 2022)

Learning Shared Neural Manifolds from Multi-Subject FMRI Data. - Jessie Huang; Erica L. Busch; Tom Wallenstein; Michal Gerasimiuk; Andrew Benz; Guillaume Lajoie; Guy Wolf; Nicholas B. Turk-Browne; Smita Krishnaswamy (MLSP, 2022)

Covalent docking and molecular dynamics simulations reveal the specificity-shifting mutations Ala237Arg and Ala237Lys in TEM beta-lactamase. - Gabriel Monteiro da Silva; Jordan Yang; Bunlong Leang; Jessie Huang; Daniel M. Weinreich; Brenda M. Rubenstein (PLoS Comput. Biol., 2022)

Multi-view manifold learning of human brain-state trajectories. - Erica L. Busch; Jessie Huang; Andrew Benz; Tom Wallenstein; Guillaume Lajoie; Guy Wolf; Smita Krishnaswamy; Nicholas B. Turk-Browne (Nat. Comput. Sci., 2023)

Time-Inhomogeneous Diffusion Geometry and Topology. - Guillaume Huguet; Alexander Tong 001; Bastian Rieck; Jessie Huang; Manik Kuchroo; Matthew J. Hirn; Guy Wolf; Smita Krishnaswamy (SIAM J. Math. Data Sci., 2023)