Kohli, Pushmeet

Analysing Mathematical Reasoning Abilities of Neural Models

Saxton, D., Grefenstette, E., Hill, F., & Kohli, P. (2019) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 241

Degenerate Feedback Loops in Recommender Systems

Jiang, R., Chiappa, S., Lattimore, T., György, A., & Kohli, P. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 232

Collaboration between clinicians and vision–language models in radiology report generation

Tanno, R., Barrett, D. G. T., Sellergren, A., Ghaisas, S., Dathathri, S., See, A., Welbl, J., Lau, C., Tu, T., Azizi, S., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 186

Faster sorting algorithms discovered using deep reinforcement learning

Mankowitz, D. J., Michi, A., Zhernov, A., Gelmi, M., Selvi, M., Paduraru, C., Leurent, E., Iqbal, S., Lespiau, J.-B., Ahern, A., et al. (2023) · Nature

Evolutionary Algorithms and ApplicationsArtificial Intelligence in Games

Cited by 177

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Brown, C. F., Kazmierski, M. R., Pasquarella, V. J., Rucklidge, W. J., Samsikova, M., Zhang, C., Shelhamer, E., Lahera, E., Wiles, O., Ilyushchenko, S., et al. (2025) · arXiv

Remote-Sensing Image ClassificationGeographic Information Systems Studies

Cited by 172

Generative models improve fairness of medical classifiers under distribution shifts

Wiles, O., Albuquerque, I., Rebuffi, S.-A., Tanno, R., Roy, A. G., Azizi, S., Belgrave, D., Kohli, P., Cemgil, T., Karthikesalingam, A., et al. (2023) · Nature Medicine

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 165

Generative models improve fairness of medical classifiers under distribution shifts

Ktena, I., Wiles, O., Albuquerque, I., Rebuffi, S.-A., Tanno, R., Roy, A. G., Azizi, S., Belgrave, D., Kohli, P., Cemgil, T., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 165

Accelerating scientific discovery with Co-Scientist

Gottweis, J., Weng, W.-H., Daryin, A., Tu, T., Sirkovic, P., Myaskovsky, A., Glowaty, G., Weissenberger, F., Orlandi, A., Popovici, D., et al. (2025) · arXiv

Computational Drug Discovery MethodsArtificial Intelligence Applications

Cited by 158

Scalable watermarking for identifying large language model outputs

Dathathri, S., See, A., Ghaisas, S., Huang, P.-S., McAdam, R., Welbl, J., Bachani, V., Kaskasoli, A., Stanforth, R., Matejovicova, T., et al. (2024) · Nature

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 132

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Huang, P.-S., Zhang, H., Jiang, R., Stanforth, R., Welbl, J., Rae, J., Maini, V., Yogatama, D., & Kohli, P. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Sentiment Analysis and Opinion MiningEthics and Social Impacts of AI

Cited by 124

Challenges in Detoxifying Language Models

Welbl, J., Glaese, A., Uesato, J., Dathathri, S., Mellor, J., Hendricks, L. A., Anderson, K., Kohli, P., Coppin, B., & Huang, P.-S. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 112

Learning high-accuracy error decoding for quantum processors

Bausch, J., Senior, A. W., Heras, F. J. H., Edlich, T., Davies, A., Newman, M., Jones, C., Satzinger, K., Niu, M. Y., Blackwell, S., et al. (2024) · Nature

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 106

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

GeoF: Geodesic Forests for Learning Coupled Predictors

Kontschieder, P., Kohli, P., Shotton, J., & Criminisi, A. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 63

Making sense of sensory input

Evans, R., Hernandez-Orallo, J., Welbl, J., Kohli, P., & Sergot, M. (2019) · arXiv

AI-based Problem Solving and PlanningBayesian Modeling and Causal Inference

Cited by 58

Making sense of sensory input

Evans, R., Hernández-Orallo, J., Welbl, J., Kohli, P., & Sergot, M. (2021) · Artificial Intelligence

AI-based Problem Solving and PlanningBayesian Modeling and Causal Inference

Cited by 58

Scaling and logic in the colour code on a superconducting quantum processor

Lacroix, N., Bourassa, A., Heras, F. J. H., Zhang, L. M., Bausch, J., Senior, A. W., Edlich, T., Shutty, N., Sivak, V., Bengtsson, A., et al. (2025) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 51

Olympiad-level formal mathematical reasoning with reinforcement learning

Hubert, T., Mehta, R., Sartran, L., Horváth, M. Z., Žužić, G., Wieser, E., Huang, A., Schrittwieser, J., Schroecker, Y., Masoom, H., et al. (2026) · Nature

Artificial Intelligence ApplicationsMathematics, Computing, and Information Processing

Cited by 19

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Novikov, A., Vũ, N., Eisenberger, M., Dupont, E., Huang, P.-S., Wagner, A. Z., Shirobokov, S., Kozlovskii, B., Ruiz, F. J. R., Mehrabian, A., et al. (2025) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 15

Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Ghalebikesabi, S., Bagdasaryan, E., Yi, R., Yona, I., Shumailov, I., Pappu, A., Shi, C., Weidinger, L., Stanforth, R., Berrada, L., et al. (2024) · arXiv

Privacy, Security, and Data ProtectionPrivacy-Preserving Technologies in Data

Cited by 11

Scaling Wearable Foundation Models

Narayanswamy, G., Liu, X., Ayush, K., Yang, Y., Xu, X., Liao, S., Garrison, J., Tailor, S., Sunshine, J., Liu, Y., et al. (2024) · arXiv

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 6