Publications
Fast, continual (One-shot), Episodic Learning
- G. Kowadlo, A. Ahmed, and D. Rawlinson, "AHA! an ‘Artificial Hippocampal Algorithm’ for Episodic Machine Learning", 2019
- G. Kowadlo, A. Ahmed, and D. Rawlinson, "Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture", in The Australasian Joint Conference on Artificial Intelligence, 2020
- G. Kowadlo, A. Ahmed, and D. Rawlinson, "Use of an artificial hippocampal algorithm for one-shot and continual learning", in From Neuroscience to Artificially Intelligent Systems (NAISys), CSHL, 2020 [Poster]
Better representations
- J. Gordon, D. Rawlinson, and S. Ahmad. "Long distance relationships without time travel: Boosting the performance of a sparse predictive autoencoder in sequence modeling." IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer, Cham, 2020.
- D. Rawlinson, A. Ahmed, and G. Kowadlo, “Learning distant cause and effect using only local and immediate credit assignment”, 2019
- D. Rawlinson, A. Ahmed, and G. Kowadlo, “Sparse Unsupervised Capsules Generalize Better,” 2018
Self-organizing networks
- S. Borgohain, G. Kowadlo, D. Rawlinson, C. Bergmeir, K. Loo, H. Rangarajan, L. Kuhlmann, “Self-organising Neural Network Hierarchy”, in The Australasian Joint Conference on Artificial Intelligence, 2020
- S. Borgohain, G. Kowadlo, D. Rawlinson, C. Bergmeir, K. Loo, H. Rangarajan, L. Kuhlmann, “Self-organising Neural Network Hierarchy”, in From Neuroscience to Artificially Intelligent Systems (NAISys), CSHL, 2020 [Poster]
Big picture
- D. Rawlinson and G. Kowadlo, “Computational neuroscience offers hints for more general machine learning,” in International Conference on Artificial General Intelligence, 2017, pp. 123–132
- D. Rawlinson and G. Kowadlo, “Generating adaptive behaviour within a memory-prediction framework”, PLoS One, vol. 7, no. 1, 2012