ElemAI | Christian A. Naesseth

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I am an Assistant Professor of Machine Learning at the University of Amsterdam, a member of the Amsterdam Machine Learning Lab, the lab manager of the UvA-Bosch Delta Lab 2, and an ELLIS member.

My research interests span statistical inference, uncertainty quantification, reasoning, and machine learning, as well as their application to the sciences. I am currently working on generative models (diffusions, flows, generative flow networks, …), approximate inference (variational and Monte Carlo methods), probabilistic modelling (natural sciences, computer vision, health, etc.), uncertainty quantification and hypothesis testing (E-values, conformal prediction, …).

Previously, I was a postdoctoral research scientist with David Blei at the Data Science Institute, Columbia University. I completed my PhD in Electrical Engineering at Linköping University, advised by Fredrik Lindsten and Thomas Schön.

News

Nov 1, 2024 I will give the keynote at the NeurIPS Fest 2024 event in Amsterdam on November 28, co-organised by the ELLIS units in Amsterdam, Delft, and Nijmegen.
NeurIPS Fest 2024
Sep 26, 2024 Decisions for NeurIPS are out! The lab and collaborators are excited to present no less than 5 (out of 5!) accepted papers: Stay tuned for camera-ready versions and code!
Sep 9, 2024 I am looking forward to attend and present our work on improving diffusion models at the Generative models and uncertainty quantification workshop in Copenhagen next week!