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Charles E. Martin
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Journal Articles
- 2015
- [j3]Charles E. Martin, James A. Reggia:
Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks. Comput. Intell. Neurosci. 2015: 642429:1-642429:15 (2015) - 2010
- [j2]Charles E. Martin, James A. Reggia:
Self-assembly of neural networks viewed as swarm intelligence. Swarm Intell. 4(1): 1-36 (2010) - 1991
- [j1]Charles E. Martin, R. James Firby:
An Integrated Architecture for Planning and Learning. SIGART Bull. 2(4): 125-129 (1991)
Conference and Workshop Papers
- 2020
- [c6]Charles E. Martin, Dana Warmsley, Samuel D. Johnson:
Optimizing Attention-Aware Opinion Seeding Strategies. SBP-BRiMS 2020: 96-106 - 2019
- [c5]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Explainability Methods for Graph Convolutional Neural Networks. CVPR 2019: 10772-10781 - [c4]Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde:
Sliced Wasserstein Auto-Encoders. ICLR (Poster) 2019 - [c3]Charles E. Martin, Praveen K. Pilly:
Probabilistic Program Neurogenesis. ALIFE 2019: 440-447 - 2017
- [c2]Soheil Kolouri, Charles E. Martin, Heiko Hoffmann:
Explaining Distributed Neural Activations via Unsupervised Learning. CVPR Workshops 2017: 1670-1678 - 2014
- [c1]Charles E. Martin, Heiko Hoffmann:
Fast re-learning of a controller from sparse data. SMC 2014: 973-978
Informal and Other Publications
- 2018
- [i2]Soheil Kolouri, Charles E. Martin, Gustavo K. Rohde:
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. CoRR abs/1804.01947 (2018) - [i1]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR abs/1812.00265 (2018)
Coauthor Index
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