An Integrated Architecture for Planning and Learning. - Charles E. Martin; R. James Firby (SIGART Bull., 1991)

Self-assembly of neural networks viewed as swarm intelligence. - Charles E. Martin; James A. Reggia (Swarm Intell., 2010)

Adapting Swarm Intelligence For The Self-Assembly And Optimization Of Networks. - Charles E. Martin (2011)

Fast re-learning of a controller from sparse data. - Charles E. Martin; Heiko Hoffmann (SMC, 2014)

Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks. - Charles E. Martin; James A. Reggia (Comput. Intell. Neurosci., 2015)

Explaining Distributed Neural Activations via Unsupervised Learning. - Soheil Kolouri; Charles E. Martin; Heiko Hoffmann (CVPR Workshops, 2017)

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. - Soheil Kolouri; Charles E. Martin; Gustavo K. Rohde (CoRR, 2018)

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CoRR, 2018)

Explainability Methods for Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CVPR, 2019)

Sliced Wasserstein Auto-Encoders. - Soheil Kolouri; Phillip E. Pope; Charles E. Martin; Gustavo K. Rohde (ICLR (Poster), 2019)

Probabilistic Program Neurogenesis. - Charles E. Martin; Praveen K. Pilly (ALIFE, 2019)

Optimizing Attention-Aware Opinion Seeding Strategies. - Charles E. Martin; Dana Warmsley; Samuel D. Johnson (SBP-BRiMS, 2020)