Publications
Bilateral networks (mimicking dual hemispheres in the brain)
- J. Rinaldo, L. Kuhlmann, J. Friedman, G. Kowadlo. Left/Right Brain, human motor control and the implications for robotics, doi:10.48550/arXiv.2401.14057, 2024 (to be published in ACAIN 2024)
- C. Rajagopalan, D. Rawlinson, E. Goldberg and G. Kowadlo, Deep learning in a bilateral brain with hemispheric specialization, https://doi.org/10.48550/arxiv.2209.06862, 2022 (to be published in ACAIN 2024)
- G. Nicholas, L. Kuhlmann and G. Kowadlo, Graceful task adaptation with a bi-hemispheric RL agent, arXiv preprint arXiv:2407.11456 (to be published at AJCAI 2024)
Few-shot episodic continual learning and continual RL
- A. Alyahya, A.A. Siyabi, M.R. Ernst, L. Yang, L. Kuhlmann, G. Kowadlo. ARROW: Augmented Replay for RObust World models, ar, 2026, TMLR, 2026
- G. Kowadlo, A. Ahmed, A. Mayan and D. Rawlinson, Expanding continual few-shot learning benchmarks to include recognition of specific instances, PLOS One, 2024
- G. Kowadlo, A. Ahmed, and D. Rawlinson, One-shot learning for the long term: consolidation with an artificial hippocampal algorithm, International Joint Conference on Neural Networks (IJCNN), 2021
- G. Kowadlo, A. Ahmed, and D. Rawlinson, Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture, The Australasian Joint Conference on Artificial Intelligence, 2020
- G. Kowadlo, A. Ahmed, and D. Rawlinson, AHA! an ‘Artificial Hippocampal Algorithm’ for Episodic Machine Learning, arxiv preprint arXiv:1909.10340, 2019
Better representations
- D. Rawlinson, G. Kowadlo. Active perception and disentangled representations allow continual, episodic zero and few-shot learning, arXiv preprint arXiv2602.19355, 2026
- D. Rawlinson, A. Ahmed, and G. Kowadlo, Learning distant cause and effect using only local and immediate credit assignment, International Joint Conference on Neural Networks (IJCNN), 2021.
- 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, 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, 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, From Neuroscience to Artificially Intelligent Systems (NAISys), CSHL, 2020 [Poster]