Jannik Kossen

Jannik Kossen

πŸ‘¨β€πŸ’» PhD Student in Machine Learning

πŸ₯£ OATML Oxford

πŸ‚ OxCSML

Hi! πŸ‘‹

Thanks for stopping by!

I am a PhD student at the University of Oxford with Yarin Gal in OATML and Tom Rainforth in OxCSML. I am working on (mostly Bayesian) Deep Learning. More specifically, I am currently looking into active learning, self-attention for deep non-parametric models, and Bayesian deep ensembles. I received an MSc in Physics from Heidelberg University and have spent time studying in Bremen, Darmstadt, Padova, and at University College London.

I am interested in the societal and ethical implications of AI: I have co-authored a book explaining machine learning to a broad audience, discussed the ethics of AI at the Berlin-Brandenburg Academy of Sciences, and gathered real-world field experience at Bosch.

πŸ“° News

All News»

11/21 – We are excited to give a lecture on Non-Parametric Transformers as part of the Stanford Lecture Course ‘CS25: Transformers United’ in November 2021.

09/21 – Invited talk at Google Research on Non-Parametric Transformers.

08/21 – I have received a ‘Best Reviewers (Top 10%)’ award for my reviewing at ICML 2021.

08/21 – Invited talk at AI Campus Berlin on Non-Parametric Transformers.

07/21 - Invited talk at Cohere about Non-Parametric Transformers.

06/21 – Selected as reviewer for ICLR 2022.

06/21 – I have decided to release my 2020 MSc thesis Modelling Videos of Physically Interacting Objects.

06/21 – Very excited to announce a new-preprint: Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning.

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