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https://oatml.cs.ox.ac.uk/publications/201812_Soboczenski2018Bayesian.html Bayesian Deep Learning for Exoplanet Atmospheric Retrieval - OATML An ML-based retrieval framework called Intelligent exoplaNet Atmospheric RetrievAl (INARA) that consists of a Bayesian deep learning model for retrieval and a... deep learning bayesian exoplanet atmospheric retrieval https://oatml.cs.ox.ac.uk/members/aidan_gomez/ Aidan Gomez - OATML Aidan was a doctoral student of Yarin Gal and Yee Whye Teh at The University of Oxford. He founded Cohere and a research group called FOR.ai, focussing on... aidan gomez https://oatml.cs.ox.ac.uk/publications/202007_NotinGomezGal2020SliceOut.html SliceOut: Training Transformers and CNNs faster while using less memory - OATML We demonstrate 10-40% speedups and memory reduction with Wide ResNets, EfficientNets, and Transformer models, with minimal to no loss in accuracy, using... training transformers cnns https://oatml.cs.ox.ac.uk/blog/2021/10/11/NEURIPS_2021.html 13 OATML Conference papers at NeurIPS 2021 - OATML OATML group members and collaborators are proud to present 13 papers at NeurIPS 2021 main conference. conference papers neurips https://oatml.cs.ox.ac.uk/publications/202106_RuLyleSchut_Speedy_Performance_estimation.html Speedy Performance Estimation for Neural Architecture Search - OATML Reliable yet efficient evaluation of generalisation performance of a proposed architecture is crucial to the success of neural architecture search (NAS).... neural architecture search speedy performance estimation https://oatml.cs.ox.ac.uk/blog/2020/07/10/ICML_2020.html 13 OATML Conference and Workshop papers at ICML 2020 - OATML We are glad to share the following 13 papers by OATML authors and collaborators to be presented at this ICML conference and workshops... workshop papers conference icml https://oatml.cs.ox.ac.uk/members/lewis_smith/ Lewis Smith - OATML Lewis Smith was a DPhil student supervised by Yarin Gal. His main interests are in the reliability and robustness of machine learning algorithms, Bayesian... lewis smith https://oatml.cs.ox.ac.uk/publications/202404_NicolsonSchut_ExplainingExplainability.html Explaining Explainability: Understanding Concept Activation Vectors - OATML Recent interpretability methods propose using concept-based explanations to translate the internal representations of deep learning models into a language that... explaining explainability understanding concept activation https://oatml.cs.ox.ac.uk/publications/202308_Schut_DiverseAgents.html Diversifying AI - Towards Creative Chess with AlphaZero - OATML In recent years, Artificial Intelligence (AI) systems have surpassed human intelligence in a variety of computational tasks. However, AI systems, like humans,... creative chess diversifying ai towards alphazero https://oatml.cs.ox.ac.uk/members/yihong_chen/ Yihong Chen - OATML Yihong Chen is a Postdoc in the OATML group, working under the supervision of Yarin Gal yihong chen https://oatml.cs.ox.ac.uk/blog/2019/12/08/NeurIPS_2019.html 25 OATML Conference and Workshop papers at NeurIPS 2019 - OATML We are glad to share the following 25 papers by OATML authors and collaborators to be presented at this NeurIPS conference and workshops. workshop papers conference neurips https://oatml.cs.ox.ac.uk/members/freddie_bickford_smith/ Freddie Bickford Smith - OATML Freddie is a DPhil student working with Tom Rainforth and Adam Foster... freddie bickford smith