Все публикации

Amanda Prorok Machine Learning for Multi Robot and Multi Agent Problems Part 2

Zoubin Ghahramani  Recent work from Google Research

Mark van der Wilk- Learnable Invariances in Neural Networks

Andreas Bender AI in Drug Discovery – Model Validation and Applications

Emily Shuckburgh New Approaches Based on ML For a Range of Climate Prediction Problems

Rich Turner- Advances in Neural Processes

Amanda Prorok Machine Learning for Multi Robot and Multi Agent Problems Part 1

Andreas Bender AI in Drug Discovery – Current State of the Art and Aspects of Biological Data

Mihaela van der Schaar- Panning for Insights in Medicine: New Frontiers in ML Interpability Part 2

Mihaela van der Schaar- Panning for Insights in Medicine: New Frontiers ML Interpability Part 1

Zoubin Ghahramani Probabilistic machine learning and AI

Jose Miguel Hernandez Lobato- Linearized Laplace Approximation in Bayesian Neural networks- Part 1

Jose Miguel Hernandez Lobato- Linearized Laplace Approximation in Bayesian Neural networks- Part 2

Cambridge Ellis Seminar Series Dr Nicholas Lane 30 May 2022

Cambridge Ellis Seminar Series Dr Hana Chockler- 21 April 2022

Cambridge ELLIS Seminar Series Dr Cheng Zhang 9 February 2022

Cambridge Ellis Unit Seminar Series – Prof Richard Turner 29 September 2021

Cambridge Ellis Unit Seminar Series- Prof. Mark Girolami- 30.07.21

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