OATML

Five group members honoured as top reviewers at NeurIPS 2019: 2 members among the top 400 highest scoring reviewers and awarded free registration (Tim G. J. Rudner and Sebastian Farquhar), and 4 among the top 50% reviewers (Zac Kenton, Andreas Kirsch, Angelos Filos and Joost van Amersfoort).

Five papers with OATML members accepted to NeurIPS 2019:

• BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
• A Geometric Perspective on Optimal Representations for Reinforcement Learning
• VIREL: A Variational Inference Framework for Reinforcement Learning
• Variational Bayesian Optimal Experimental Design
• On the Benefits of Disentangled Representations

OATML DPhil student Angelos Filos is co-organising the NeurIPS 2019 Workshop on Emergent Communication: Towards Natural Language.

OATML graduate student Aidan Gomez will be presenting on memory and attention with Kris Sankaran at Deep Learning Indaba on Tuesday 27 August. Schedule is available here and slides are available here.

We’re organising a “Quantification of Uncertainty in Segmentation” task as part of the Multimodal Brain Tumor Segmentation Challenge at MICCAI 2019, together with Angelos Filos, Raghav Mehta and Tal Arbel.

We’re organising the Fourth Bayesian Deep Learning Workshop at NeurIPS 2019.

OATML DPhil students Lewis Smith and Tim G. J. Rudner received ICML 2019 Outstanding Reviewer Awards (top 5% of reviewers).

Prof Yarin Gal will be speaking at the European Space Agency’s Phi-week, discussing work done at OATML on AI in space. The talk will cover work on topics ranging from exoplanet atmospheric retrieval to asteroid shape modelling from radar data.

OATML graduate student Angelos Filos will present his paper ‘Inverse Reinforcement Learning for Limit Order Book Dynamics’ at the the ICML 2019 Workshop on Applications and Infrastructure for Multi-Agent Learning, with the paper selected for an oral presentation.

Prof Yarin Gal will be speaking at the Royal Society’s Summer Science Exhibition on 6 July, discussing work on AI and art. The talk will cover techniques in machine learning that give us the chance to venture beyond the frame of some famous paintings.

OATML graduate student Aidan Gomez has been selected for the 2019 Open Philanthropy AI Fellowship. The fellowship will support his research for five years.

OATML DPhil student Aidan Gomez is co-organising the ICML 2019 Workshop on Invertible Neural Nets and Normalizing Flows together with Aaron Courville and Danilo Rezende.

Prof Yarin Gal will give a talk at the UN summit on “AI for Good” on the development of AI which we can trust: How can we develop trust-worthy machine learning tools to be deployed in the wild? He will further participate in a panel discussion on the topic IT’S A MATTER OF TRUST.

The Publications page has been updated with NeurIPS and UAI papers.

We’re organising the Third Bayesian Deep Learning Workshop at NeurIPS 2018.