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08/23/2023
Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
AI programs, built using large language models, make it possible to auto...
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05/25/2023
SketchOGD: Memory-Efficient Continual Learning
When machine learning models are trained continually on a sequence of ta...
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10/18/2022
Optimisation Generalisation in Networks of Neurons
The goal of this thesis is to develop the optimisation and generalisatio...
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10/08/2021
On the Implicit Biases of Architecture Gradient Descent
Do neural networks generalise because of bias in the functions returned ...
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06/09/2021
Fine-Grained System Identification of Nonlinear Neural Circuits
We study the problem of sparse nonlinear model recovery of high dimensio...
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03/01/2021
Computing the Information Content of Trained Neural Networks
How much information does a learning algorithm extract from the training...
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06/25/2020
Learning compositional functions via multiplicative weight updates
Compositionality is a basic structural feature of both biological and ar...
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02/09/2020
On the distance between two neural networks and the stability of learning
How far apart are two neural networks? This is a foundational question i...
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10/11/2018
signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant
Training neural networks on large datasets can be accelerated by distrib...
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03/05/2018
Stochastic Activation Pruning for Robust Adversarial Defense
Neural networks are known to be vulnerable to adversarial examples. Care...
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02/13/2018
