Kossen, Jannik

17 publications

ICML 2025 Rethinking Aleatoric and Epistemic Uncertainty Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark Van Der Wilk, Adam Foster, Tom Rainforth

NeurIPS 2025 Scaling up Active Testing to Large Language Models Gabrielle Berrada, Jannik Kossen, Freddie Bickford Smith, Muhammed Razzak, Yarin Gal, Tom Rainforth

NeurIPS 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 Blei

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

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

NeurIPS 2024 Kernel Language Entropy: Fine-Grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen

NeurIPSW 2024 Rethinking Aleatoric and Epistemic Uncertainty Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth

NeurIPSW 2024 Semantic Entropy Neurons: Encoding Semantic Uncertainty in the Latent Space of LLMs Jiatong Han, Jannik Kossen, Muhammed Razzak, Yarin Gal

ICMLW 2024 Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs Jiatong Han, Jannik Kossen, Muhammed Razzak, Lisa Schut, Shreshth A Malik, Yarin Gal

TMLR 2023 Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

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

ICMLW 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Peter Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

NeurIPSW 2022 Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

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

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

NeurIPS 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

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