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0:45:31
Amanda Prorok Machine Learning for Multi Robot and Multi Agent Problems Part 2
0:52:00
Zoubin Ghahramani Recent work from Google Research
0:59:06
Mark van der Wilk- Learnable Invariances in Neural Networks
0:57:50
Andreas Bender AI in Drug Discovery – Model Validation and Applications
0:57:04
Emily Shuckburgh New Approaches Based on ML For a Range of Climate Prediction Problems
0:57:49
Rich Turner- Advances in Neural Processes
0:57:07
Amanda Prorok Machine Learning for Multi Robot and Multi Agent Problems Part 1
1:01:07
Andreas Bender AI in Drug Discovery – Current State of the Art and Aspects of Biological Data
0:48:33
Mihaela van der Schaar- Panning for Insights in Medicine: New Frontiers in ML Interpability Part 2
1:06:48
Mihaela van der Schaar- Panning for Insights in Medicine: New Frontiers ML Interpability Part 1
0:57:59
Zoubin Ghahramani Probabilistic machine learning and AI
1:02:03
Jose Miguel Hernandez Lobato- Linearized Laplace Approximation in Bayesian Neural networks- Part 1
0:44:52
Jose Miguel Hernandez Lobato- Linearized Laplace Approximation in Bayesian Neural networks- Part 2
0:58:04
Cambridge Ellis Seminar Series Dr Nicholas Lane 30 May 2022
1:00:39
Cambridge Ellis Seminar Series Dr Hana Chockler- 21 April 2022
1:00:28
Cambridge ELLIS Seminar Series Dr Cheng Zhang 9 February 2022
0:59:25
Cambridge Ellis Unit Seminar Series – Prof Richard Turner 29 September 2021
1:00:50
Cambridge Ellis Unit Seminar Series- Prof. Mark Girolami- 30.07.21
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