Jannik Kossen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Generalized Hough Transform

Stationary Camera

Top Venues

Publications

Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, David M. Blei
Estimating the Hallucination Rate of Generative AI. CoRR (2024)
Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. CoRR (2024)
Jannik Kossen, Jiatong Han, Muhammed Razzak, Lisa Schut, Shreshth A. Malik, Yarin Gal
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs. CoRR (2024)
Jannik Kossen, Yarin Gal, Tom Rainforth
In-Context Learning Learns Label Relationships but Is Not Conventional Learning. ICLR (2024)
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal
Detecting hallucinations in large language models using semantic entropy. Nat. 630 (8017) (2024)
Jannik Kossen, Tom Rainforth, Yarin Gal
In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning. CoRR (2023)
Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. NeurIPS (2023)
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. 2023 (2023)
Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. CoRR (2023)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. CoRR (2022)
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR (2022)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Thomas Rainforth
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. NeurIPS (2022)
Andreas Kirsch, Jannik Kossen, Yarin Gal
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling. CoRR (2022)
Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Tom Rainforth, Yarin Gal
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning. CoRR (2021)
Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Thomas Rainforth, Yarin Gal
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning. NeurIPS (2021)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
Active Testing: Sample-Efficient Model Evaluation. ICML (2021)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
Active Testing: Sample-Efficient Model Evaluation. CoRR (2021)
Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
Structured Object-Aware Physics Prediction for Video Modeling and Planning. ICLR (2020)
Jannik Kossen, Karl Stelzner, Marcel Hussing, Claas Voelcker, Kristian Kersting
Structured Object-Aware Physics Prediction for Video Modeling and Planning. CoRR (2019)