The Autoencoder-Kalman Filter: Theory and Practice. - Matthew L. Weiss; Randy C. Paffenroth; Joshua R. Uzarski (ACSSC, 2019)

Deep Learning with Domain Randomization for Optimal Filtering. - Matthew L. Weiss; Randy C. Paffenroth; Jacob Whitehill; Joshua R. Uzarski (ICMLA, 2019)

Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter. - Kirty Vedula; Matthew L. Weiss; Randy C. Paffenroth; Joshua R. Uzarski; D. Richard Brown (ACSSC, 2020)

Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining. - Alexander M. Moore; Randy Clinton Paffenroth; Ken T. Ngo; Joshua R. Uzarski (ADMA (2), 2022)

ACGANs Improve Chemical Sensors for Challenging Distributions. - Alexander M. Moore; Randy C. Paffenroth; Ken T. Ngo; Joshua R. Uzarski (ICMLA, 2022)

ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning. - Alexander M. Moore; Randy C. Paffenroth; Ken T. Ngo; Joshua R. Uzarski (ICMLA, 2023)

ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning. - Alexander M. Moore; Randy C. Paffenroth; Ken T. Ngo; Joshua R. Uzarski (CoRR, 2023)

ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors. - Alexander M. Moore; Randy C. Paffenroth; Kenneth T. Ngo; Joshua R. Uzarski (CoRR, 2023)

Oracle Embeddings for Chemical Detection. - Cate Dunham; Maria Barger; Randy C. Paffenroth; Joshua R. Uzarski; Chia-Wei Tsai (ICMLA, 2024)