Optimizing Mode Connectivity via Neuron Alignment. - N. Joseph Tatro; Pin-Yu Chen; Payel Das; Igor Melnyk; Prasanna Sattigeri; Rongjie Lai (NeurIPS, 2020)

Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE. - N. Joseph Tatro; Stefan C. Schonsheck; Rongjie Lai (CoRR, 2020)

Learning Geometrically Disentangled Representations of Protein Folding Simulations. - N. Joseph Tatro; Payel Das; Pin-Yu Chen; Vijil Chenthamarakshan; Rongjie Lai (CoRR, 2022)

World-Scale Construction Detection in Medium-Resolution Satellite Imagery Using a Probabilistic Graphical Model of Space-Time Pixel Class Labels. - Thomas Pollard; Michael Braun; Yuli Friedman; Cara Murphy; Matthew Meyn; N. Joseph Tatro; Wayne Treible; Daniel E. Crispell; Gil Ettinger (IGARSS, 2023)

Salient Conditional Diffusion for Defending Against Backdoor Attacks. - Brandon B. May; N. Joseph Tatro; Piyush Kumar; Nathan Shnidman (CoRR, 2023)

Implications of data topology for deep generative models. - Yinzhu Jin; Rory McDaniel; N. Joseph Tatro; Michael J. Catanzaro; Abraham D. Smith; Paul Bendich; Matthew B. Dwyer; P. Thomas Fletcher (Frontiers Comput. Sci., 2024)