Structured Object-Aware Physics Prediction for Video Modeling and Planning. - Jannik Kossen; Karl Stelzner; Marcel Hussing; Claas Voelcker; Kristian Kersting (ICLR, 2020)

Active Testing: Sample-Efficient Model Evaluation. - Jannik Kossen; Sebastian Farquhar; Yarin Gal; Tom Rainforth (ICML, 2021)

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning. - Jannik Kossen; Neil Band; Clare Lyle; Aidan N. Gomez; Thomas Rainforth; Yarin Gal (NeurIPS, 2021)

Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. - Jannik Kossen; Sebastian Farquhar; Yarin Gal; Thomas Rainforth (NeurIPS, 2022)

Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling. - Andreas Kirsch 002; Jannik Kossen; Yarin Gal (CoRR, 2022)

Three Towers: Flexible Contrastive Learning with Pretrained Image Models. - Jannik Kossen; Mark Collier; Basil Mustafa; Xiao Wang 038; Xiaohua Zhai; Lucas Beyer; Andreas Steiner 001; Jesse Berent; Rodolphe Jenatton; Effrosyni Kokiopoulou (NeurIPS, 2023)

In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning. - Jannik Kossen; Tom Rainforth; Yarin Gal (CoRR, 2023)

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. - Jannik Kossen; Catalina Cangea; Eszter Vértes; Andrew Jaegle; Viorica Patraucean; Ira Ktena; Nenad Tomasev; Danielle Belgrave (Trans. Mach. Learn. Res., 2023)

In-Context Learning Learns Label Relationships but Is Not Conventional Learning. - Jannik Kossen; Yarin Gal; Tom Rainforth (ICLR, 2024)

Estimating the Hallucination Rate of Generative AI. - Andrew Jesson; Nicolas Beltran-Velez; Quentin Chu; Sweta Karlekar; Jannik Kossen; Yarin Gal; John P. Cunningham; David M. Blei (NeurIPS, 2024)

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. - Alexander Nikitin; Jannik Kossen; Yarin Gal; Pekka Marttinen (NeurIPS, 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)

Rethinking Aleatoric and Epistemic Uncertainty. - Freddie Bickford Smith; Jannik Kossen; Eleanor Trollope; Mark van der Wilk; Adam Foster 001; Tom Rainforth (CoRR, 2024)

Detecting hallucinations in large language models using semantic entropy. - Sebastian Farquhar; Jannik Kossen; Lorenz Kuhn; Yarin Gal (Nat., 2024)

Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy. - Jahan C. Penny-Dimri; Magdalena Bachmann; William R. Cooke; Sam Mathewlynn; Samuel Dockree; John Tolladay; Jannik Kossen; Lin Li; Yarin Gal; Gabriel Davis Jones (CoRR, 2025)

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