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Yarin Gal · SciRah

Researcher profile · Semantic Scholar

Yarin Gal

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Yarin Gal — researcher profile on SciRah

h-index: 71
Works: 227
Citations: 49K

Most-cited papers

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
2023International Conference on Learning Representations1,037 citations Open access
Semantic Scholar
Disease variant prediction with deep generative models of evolutionary data
J. Frazer, Pascal Notin, Mafalda Dias, Aidan N. Gomez +4 more
2021Nature805 citations Open access
Semantic Scholar
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yi-Ren Zhao, Yarin Gal +2 more
2023arXiv.org558 citations
Semantic Scholar
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Sören Mindermann, Janina Brauner, Muhammed Razzak, Mrinank Sharma +7 more
2022International Conference on Machine Learning309 citations Open access
Semantic Scholar
Deep Deterministic Uncertainty: A New Simple Baseline
Jishnu Mukhoti, Andreas Kirsch, Joost R. van Amersfoort, P. Torr +1 more
2021Computer Vision and Pattern Recognition293 citations
Semantic Scholar
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
Pascal Notin, Mafalda Dias, J. Frazer, Javier Marchena-Hurtado +3 more
2022International Conference on Machine Learning279 citations Open access
Semantic Scholar
Towards global flood mapping onboard low cost satellites with machine learning
Gonzalo Mateo-García, J. Veitch-Michaelis, Lewis Smith, Silviu Vlad Oprea +4 more
2021Scientific Reports224 citations Open access
Semantic Scholar
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez +2 more
2021Neural Information Processing Systems183 citations
Semantic Scholar
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
Mrinank Sharma, Sören Mindermann, C. Rogers-Smith, G. Leech +20 more
2021Nature Communications169 citations Open access
Semantic Scholar
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. Malinin, Neil Band, Yarin Gal, M. Gales +12 more
2021NeurIPS Datasets and Benchmarks165 citations
Semantic Scholar
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, J. Liu, Michael W. Dusenberry, Du Phan +22 more
2022arXiv.org150 citations Open access
Semantic Scholar
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies
M. Walmsley, C. Lintott, T. Géron, S. Kruk +14 more
2021arXiv.org141 citations Open access
Semantic Scholar
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
J. van Amersfoort, Lewis Smith, A. Jesson, Oscar Key +1 more
2021139 citations
Semantic Scholar
Domain Invariant Representation Learning with Domain Density Transformations
A. Nguyen, Toan Tran, Yarin Gal, A. G. Baydin
2021Neural Information Processing Systems120 citations
Semantic Scholar
Active Testing: Sample-Efficient Model Evaluation
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
2021International Conference on Machine Learning117 citations
Semantic Scholar
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Zachary Nado, Neil Band, Mark Collier, J. Djolonga +22 more
2021arXiv.org116 citations
Semantic Scholar
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
Lorenzo Pacchiardi, A. J. Chan, Sören Mindermann, Ilan Moscovitz +4 more
2023arXiv.org114 citations Open access
Semantic Scholar
Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England
Swapnil Mishra, Sören Mindermann, Mrinank Sharma, C. Whittaker +26 more
2021EClinicalMedicine112 citations Open access
Semantic Scholar
Fine-tuning can cripple your foundation model; preserving features may be the solution
Jishnu Mukhoti, Yarin Gal, P. Torr, P. Dokania
2023Trans. Mach. Learn. Res.109 citations Open access
Semantic Scholar
On Statistical Bias In Active Learning: How and When To Fix It
Sebastian Farquhar, Yarin Gal, Tom Rainforth
2021International Conference on Learning Representations105 citations
Semantic Scholar
Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
Jishnu Mukhoti, A. Kirsch, Joost R. van Amersfoort, P. Torr +1 more
2021arXiv.org99 citations
Semantic Scholar
Mask wearing in community settings reduces SARS-CoV-2 transmission
G. Leech, C. Rogers-Smith, J. Monrad, Jonas B. Sandbrink +10 more
2022Proceedings of the National Academy of Sciences of the United States of America95 citations Open access
Semantic Scholar
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
202289 citations
Semantic Scholar
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
D. Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot +1 more
2023arXiv.org87 citations Open access
Semantic Scholar
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, U. Baid, Chiharu Sako +88 more
2021The journal of machine learning for biomedical imaging87 citations Open access
Semantic Scholar
Prediction-Oriented Bayesian Active Learning
Freddie Bickford-Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal +2 more
2023International Conference on Artificial Intelligence and Statistics86 citations Open access
Semantic Scholar
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
Neil Band, Tim G. J. Rudner, Qi-Xuan Feng, Angelos Filos +5 more
2022NeurIPS Datasets and Benchmarks80 citations Open access
Semantic Scholar
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
Muhammed Razzak, Gonzalo Mateo-García, L. G'omez-Chova, Yarin Gal +1 more
2021Isprs Journal of Photogrammetry and Remote Sensing76 citations Open access
Semantic Scholar
Improving black-box optimization in VAE latent space using decoder uncertainty
Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal
2021Neural Information Processing Systems76 citations
Semantic Scholar
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen, Yarin Gal, Tom Rainforth
2023International Conference on Learning Representations73 citations
Semantic Scholar
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner, Zonghao Chen, Y. Teh, Yarin Gal
2023Neural Information Processing Systems71 citations
Semantic Scholar
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
A. Jesson, Sören Mindermann, Yarin Gal, Uri Shalit
2021International Conference on Machine Learning70 citations
Semantic Scholar
Interventions, Where and How? Experimental Design for Causal Models at Scale
P. Tigas, Yashas Annadani, A. Jesson, B. Schölkopf +2 more
2022Neural Information Processing Systems68 citations Open access
Semantic Scholar
TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction
Pascal Notin, Lood van Niekerk, Aaron W. Kollasch, D. Ritter +2 more
2022bioRxiv66 citations Open access
Semantic Scholar
KL Guided Domain Adaptation
A. Nguyen, Toan Tran, Yarin Gal, P. Torr +1 more
2021International Conference on Learning Representations66 citations
Semantic Scholar
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner, Freddie Bickford-Smith, Qi-Xuan Feng, Y. Teh +1 more
2023International Conference on Machine Learning63 citations
Semantic Scholar
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
Mafalda Dias, Dinko Franceschi, Jonathan Frazer, Yarin Gal +11 more
2023Advances in Neural Information Processing Systems 3660 citations
Semantic Scholar
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Lisa Schut, Oscar Key, R. McGrath, Luca Costabello +3 more
2021International Conference on Artificial Intelligence and Statistics57 citations
Semantic Scholar
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost R. van Amersfoort +3 more
2022International Conference on Learning Representations53 citations
Semantic Scholar
Bayesian uncertainty quantification for machine-learned models in physics
Yarin Gal, P. Koumoutsakos, François Lanusse, Gilles Louppe +1 more
2022Nature Reviews Physics48 citations Open access
Semantic Scholar
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, A. Jesson +2 more
2021Trans. Mach. Learn. Res.45 citations
Semantic Scholar
Learning Dynamics and Generalization in Deep Reinforcement Learning
Clare Lyle, Mark Rowland, Will Dabney, M. Kwiatkowska +1 more
2022International Conference on Machine Learning44 citations
Semantic Scholar
Mixtures of large-scale dynamic functional brain network modes
C. Gohil, E. Roberts, R. Timms, Alex Skates +8 more
2022bioRxiv42 citations Open access
Semantic Scholar
Understanding the effectiveness of government interventions in Europe's second wave of COVID-19
Mrinank Sharma, Sören Mindermann, C. Rogers-Smith, G. Leech +18 more
2021medRxiv42 citations Open access
Semantic Scholar
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities
Andreas Kirsch, Yarin Gal
2022Trans. Mach. Learn. Res.41 citations
Semantic Scholar
Exploring Low Rank Training of Deep Neural Networks
S. Kamalakara, Acyr F. Locatelli, Bharat Venkitesh, Jimmy Ba +2 more
2022arXiv.org40 citations Open access
Semantic Scholar
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Angelos Filos, Clare Lyle, Yarin Gal, S. Levine +2 more
2021International Conference on Machine Learning39 citations
Semantic Scholar
Deep Deterministic Uncertainty for Semantic Segmentation
Jishnu Mukhoti, Joost R. van Amersfoort, P. Torr, Yarin Gal
2021arXiv.org38 citations
Semantic Scholar
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
2022Neural Information Processing Systems37 citations Open access
Semantic Scholar
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions
A. Jesson, A. Douglas, P. Manshausen, Maëlys Solal +4 more
2022Neural Information Processing Systems35 citations Open access
Semantic Scholar

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