Publications

In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning.

Preprint. 2023.
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Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.

Transactions on Machine Learning Research (Previously at Foundation Models for Decision Making Workshop at NeurIPS 2022). 2023.
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Three Towers: Flexible Contrastive Learning with Pretrained Image Models.

Workshop on Efficient Systems for Foundation Models at ICML. 2023.
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Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation.

Advances in Neural Information Processing Systems (Oral). 2022.
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Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning.

Advances in Neural Information Processing Systems. 2021.
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Active Testing: Sample-Efficient Model Evaluation.

International Conference on Machine Learning. 2021.
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Structured object-aware physics prediction for video modeling and planning.

International Conference on Learning Representations. 2020.
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Modelling Videos of Physically Interacting Objects.

Master Thesis (Heidelberg University). 2020.
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Wie Maschinen lernen.

Springer. (Edited Volume. Jannik is author of 11 chapters.). 2019.
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