Prioritized training on points that are learnable, worth learning, and not yet learned. - Sören Mindermann; Muhammed Razzak; Winnie Xu; Andreas Kirsch 002; Mrinank Sharma; Adrien Morisot; Aidan N. Gomez; Sebastian Farquhar; Jan Markus Brauner; Yarin Gal (CoRR, 2021)

Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation. - Muhammed Razzak; Gonzalo Mateo-Garcia; Luis Gómez-Chova; Yarin Gal; Freddie Kalaitzis (CoRR, 2021)

Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt. - Sören Mindermann; Jan Markus Brauner; Muhammed Razzak; Mrinank Sharma; Andreas Kirsch 002; Winnie Xu; Benedikt Höltgen; Aidan N. Gomez; Adrien Morisot; Sebastian Farquhar; Yarin Gal (ICML, 2022)

The Benefits and Risks of Transductive Approaches for AI Fairness. - Muhammed Razzak; Andreas Kirsch 002; Yarin Gal (CoRR, 2024)

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs. - Jannik Kossen; Jiatong Han; Muhammed Razzak; Lisa Schut; Shreshth A. Malik; Yarin Gal (CoRR, 2024)

Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy. - Benedict Aaron Tjandra; Muhammed Razzak; Jannik Kossen; Kunal Handa; Yarin Gal (CoRR, 2024)

Scaling Up Active Testing to Large Language Models. - Gabrielle Berrada; Jannik Kossen; Muhammed Razzak; Freddie Bickford Smith; Yarin Gal; Tom Rainforth (CoRR, 2025)