Marcus Williams
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Reinforcement Learning in Robotics, Advanced Chemical Physics Studies, Neurological disorders and treatments, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → Reductions in neuronal peroxisomes in multiple sclerosis grey matter(2013)48 cited
- → Cognitive effects of theta frequency bilateral subthalamic nucleus stimulation in Parkinson’s disease: A pilot study(2021)30 cited
- → Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample Using Natural Language Processing(2021)21 cited
- → Cognitive outcomes following vagus nerve stimulation, responsive neurostimulation and deep brain stimulation for epilepsy: A systematic review(2021)12 cited
- → Fluorescence of trivalent dysprosium in hexagonal zinc sulphide at 77°K(1960)10 cited
- → Applying neural network algorithms to ascertain reported experiences of violence in routine mental healthcare records and distributions of reports by diagnosis(2024)3 cited
- → Multi-objective Reinforcement learning from AI Feedback(2024)1 cited
- → On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning(2023)
- → Monitoring Monitorability(2025)