Recent & Upcoming Talks

The use of Gaussian process models is typically limited to datasets with a few tens of thousands of observations due to their …

I will discuss multiple-data-source prediction and modelling problems arising in a number of fields, for instance in omics-based …

We derive a family of Monte Carlo estimators for gradients of expectations, which is related to the log-derivative trick, but involves …

In machine learning, new learning algorithms are designed by borrowing ideas from optimization and statistics followed by an extensive …

People

Principal Investigators

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Marc Deisenroth

DeepMind Chair in Artificial Intelligence

Machine learning, Signal processing, Control, Robotics

Postdoctoral Researchers

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K. S. Sesh Kumar

Research Associate

PhD Students

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James Wilson

PhD Student

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Janith Petangoda

PhD Student

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Samuel Cohen

PhD Student

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Sanket Kamthe

PhD Student

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Simon Olofsson

PhD Student

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Steindór Sæmundsson

PhD Student

Machine, Meta learning

Visitors

Alumni

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Benjamin Chamberlain

PhD (10/2014 - 08/2018)

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Hugh Salimbeni

PhD (10/2015-10/2019)

Recent News

We are looking for a (Senior) Research Fellow at the intersection of climate science and machine learning.

Rasmus Larsen visits SML

Samuel Cohen joins SML