Artikel mit Open-Access-Mandaten - Yarin GalWeitere Informationen
Nicht verfügbar: 2
Machine learning for functional protein design
P Notin, N Rollins, Y Gal, C Sander, D Marks
Nature Biotechnology 42 (2), 216-228, 2024
Mandate: US Department of Energy, US National Institutes of Health, UK Engineering …
Propagating uncertainty across cascaded medical imaging tasks for improved deep learning inference
R Mehta, T Christinck, T Nair, A Bussy, S Premasiri, M Costantino, ...
IEEE Transactions on Medical Imaging 41 (2), 360-373, 2021
Mandate: Canadian Institutes of Health Research, Fonds de recherche du Québec - Santé …
Verfügbar: 67
Inferring the effectiveness of government interventions against COVID-19
JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ...
Science 371 (6531), eabd9338, 2021
Mandate: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
A Kirsch, J van Amersfoort, Y Gal
Advances in Neural Information Processing Systems, 2019, 2019
Mandate: UK Engineering and Physical Sciences Research Council
Disease variant prediction with deep generative models of evolutionary data
J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock, Y Gal, DS Marks
Nature 599 (7883), 91-95, 2021
Mandate: US National Institutes of Health, UK Engineering and Physical Sciences …
Uncertainty estimation using a single deep deterministic neural network
J van Amersfoort, L Smith, YW Teh, Y Gal
International Conference on Machine Learning (ICML), 2020
Mandate: UK Engineering and Physical Sciences Research Council
Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning
R McAllister, Y Gal, A Kendall, M van der Wilk, A Shah, R Cipolla, ...
International Joint Conferences on Artificial Intelligence (IJCAI), 2017
Mandate: UK Engineering and Physical Sciences Research Council
VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning
L Zintgraf, K Shiarlis, M Igl, S Schulze, Y Gal, K Hofmann, S Whiteson
International Conference on Learning Representations (ICLR), 2020
Mandate: UK Engineering and Physical Sciences Research Council, European Commission
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
M Sharma, S Mindermann, C Rogers-Smith, G Leech, B Snodin, J Ahuja, ...
Nature communications 12 (1), 5820, 2021
Mandate: Academy of Medical Sciences, UK, UK Biotechnology and Biological Sciences …
AI models collapse when trained on recursively generated data
I Shumailov, Z Shumaylov, Y Zhao, N Papernot, R Anderson, Y Gal
Nature 631 (8022), 755-759, 2024
Mandate: UK Research & Innovation
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
A Filos, P Tigkas, R McAllister, N Rhinehart, S Levine, Y Gal
International Conference on Machine Learning (ICML), 3145-3153, 2020
Mandate: US Department of Defense, UK Engineering and Physical Sciences Research Council
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
P Notin, M Dias, J Frazer, J Marchena-Hurtado, AN Gomez, D Marks, ...
International Conference on Machine Learning, 16990-17017, 2022
Mandate: UK Engineering and Physical Sciences Research Council, Chan Zuckerberg …
Detecting hallucinations in large language models using semantic entropy
S Farquhar, J Kossen, L Kuhn, Y Gal
Nature 630 (8017), 625-630, 2024
Mandate: UK Research & Innovation
Towards global flood mapping onboard low cost satellites with machine learning
G Mateo-Garcia, J Veitch-Michaelis, L Smith, SV Oprea, G Schumann, ...
Scientific reports 11 (1), 7249, 2021
Mandate: UK Engineering and Physical Sciences Research Council, UK Science and …
Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and Deep Learning for 314,000 galaxies
M Walmsley, C Lintott, T Geron, S Kruk, C Krawczyk, KW Willett, ...
Monthly Notices of the Royal Astronomical Society, 2021
Mandate: US National Science Foundation, US Department of Energy, US National …
Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning
M Walmsley, L Smith, C Lintott, Y Gal, S Bamford, H Dickinson, L Fortson, ...
Monthly Notices of the Royal Astronomical Society 491 (2), 1554-1574, 2020
Mandate: US National Science Foundation, UK Science and Technology Facilities Council
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
J van Amersfoort, L Smith, A Jesson, O Key, Y Gal
arXiv preprint arXiv:2102.11409, 2021
Mandate: UK Engineering and Physical Sciences Research Council
Invariant causal prediction for block MDPs
A Zhang, C Lyle, S Sodhani, A Filos, M Kwiatkowska, J Pineau, Y Gal, ...
International Conference on Machine Learning (ICML), 11214-11224, 2020
Mandate: European Commission
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
P Notin, AW Kollasch, D Ritter, L Van Niekerk, S Paul, H Spinner, ...
Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023
Mandate: US National Institutes of Health, UK Engineering and Physical Sciences …
Uncertainty quantification with statistical guarantees in end-to-end autonomous driving control
R Michelmore, M Wicker, L Laurenti, L Cardelli, Y Gal, M Kwiatkowska
2020 IEEE International Conference on Robotics and Automation (ICRA), 7344-7350, 2020
Mandate: UK Engineering and Physical Sciences Research Council
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