| Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning J Kossen, N Band, C Lyle, AN Gomez, T Rainforth, Y Gal NeurIPS, 2021 | 113 | 2021 |
| Structured Object-Aware Physics Prediction for Video Modeling and Planning J Kossen, K Stelzner, M Hussing, C Voelcker, K Kersting ICLR, 2020 | 66 | 2020 |
| Global green hydrogen-based steel opportunities surrounding high quality renewable energy and iron ore deposits A Devlin, J Kossen, H Goldie-Jones, A Yang Nature Communications 14 (1), 2578, 2023 | 51 | 2023 |
| Active Testing: Sample-Efficient Model Evaluation J Kossen, S Farquhar, Y Gal, T Rainforth ICML, 2021 | 49 | 2021 |
| Wie Maschinen lernen K Kersting, C Lampert, C Rothkopf Wiesbaden: Springer, 2019 | 41 | 2019 |
| In-context learning learns label relationships but is not conventional learning J Kossen, T Rainforth, Y Gal ICLR, 2024 | 29* | 2024 |
| Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation J Kossen, S Farquhar, Y Gal, T Rainforth NeurIPS, 2022 | 13 | 2022 |
| Three Towers: Flexible Contrastive Learning with Pretrained Image Models J Kossen, M Collier, B Mustafa, X Wang, X Zhai, L Beyer, A Steiner, ... NeurIPS, 2023 | 5 | 2023 |
| Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task J Kossen, C Cangea, E Vértes, A Jaegle, V Patraucean, I Ktena, ... TMLR, 2023 | 4 | 2023 |
| Detecting hallucinations in large language models using semantic entropy S Farquhar, J Kossen, L Kuhn, Y Gal Nature 630 (8017), 625-630, 2024 | 3 | 2024 |
| Klassifikation: Schubladendenken! J Aberham, J Kossen Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 45-52, 2019 | 3 | 2019 |
| Regression: Voll im Trend J Kossen, ME Müller Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 39-43, 2019 | 2 | 2019 |
| Marginal and joint cross-entropies & predictives for online Bayesian inference, active learning, and active sampling A Kirsch, J Kossen, Y Gal arXiv preprint arXiv:2205.08766, 2022 | 1 | 2022 |
| Verzerrung-Varianz-Dilemma: Voll daneben! J Kossen, ME Müller Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 119-123, 2019 | 1 | 2019 |
| Faltungsnetze: Neuronales Origami J Kossen, ME Müller Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 163-169, 2019 | 1 | 2019 |
| Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs J Kossen, J Han, M Razzak, L Schut, S Malik, Y Gal arXiv preprint arXiv:2406.15927, 2024 | | 2024 |
| Estimating the Hallucination Rate of Generative AI A Jesson, N Beltran-Velez, Q Chu, S Karlekar, J Kossen, Y Gal, ... arXiv preprint arXiv:2406.07457, 2024 | | 2024 |
| Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities A Nikitin, J Kossen, Y Gal, P Marttinen arXiv preprint arXiv:2405.20003, 2024 | | 2024 |
| Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs J Han, J Kossen, M Razzak, L Schut, SA Malik, Y Gal ICML 2024 Workshop on Foundation Models in the Wild, 0 | | |
Yarin GalAssociate Professor, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
