625 citations · 2.7k across the 69 of their papers we have counts for
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cs.AI2023★ 10 cited
AI for Science: An Emerging Agenda
Philipp Berens, Kyle Cranmer, Neil D. Lawrence +2
This report documents the programme and the outcomes of Dagstuhl Seminar 22382 "Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling". Today's scientific ch…
cs.AI2017★ 7 cited
Living Together: Mind and Machine Intelligence
Neil D. Lawrence
In this paper we consider the nature of the machine intelligences we have created in the context of our human intelligence. We suggest that the fundamental difference between human…
cs.AI2010
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models
Neil D. Lawrence
We introduce a new perspective on spectral dimensionality reduction which views these methods as Gaussian Markov random fields (GRFs). Our unifying perspective is based on the maxi…