Craig Atkinson

According to our database, Craig Atkinson authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Tethered Reasoning: Decoupling Entropy from Hallucination in Quantized LLMs via Manifold Steering.

Craig Atkinson

CoRR, February, 2026

2022

Conceptual complexity of neural networks.

Lech Szymanski, Brendan McCane, Craig Atkinson

Neurocomputing, 2022

2021

Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting.

Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins

Neurocomputing, 2021

Conceptual capacity and effective complexity of neural networks.

Lech Szymanski, Brendan McCane, Craig Atkinson

CoRR, 2021

2020

MIME: Mutual Information Minimisation Exploration.

Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson

CoRR, 2020

2019

GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal.

Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins

CoRR, 2019

Switched linear projections and inactive state sensitivity for deep neural network interpretability.

Lech Szymanski, Brendan McCane, Craig Atkinson

CoRR, 2019

2018

Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks.

Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins

CoRR, 2018

2017

Increasing the accuracy of convolutional neural networks with progressive reinitialisation.

Craig Atkinson, Brendan McCane, Lech Szymanski

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017