Elemental AI | Christian A. Naesseth
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 generative modeling, 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
| May 7, 2025 | Decisions for ICML are out! The lab and collaborators are excited to present 2 (out of 2!) accepted papers:
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| May 1, 2025 | The lab welcomes Fabian Denoodt, a visiting PhD student from Antwerp University. |
| Apr 29, 2025 | SDE Matching wins Best Workshop Paper Award at AABI 2025! |
| Mar 5, 2025 | Excited to attend the BIRS Workshop: Efficient Approximate Bayesian Inference next week to discuss approximate inference on the panel for Challenges & Opportunities in VI, and give a talk on our latest work on SDE Matching! |
| Feb 17, 2025 | The lab welcomes Bahrul Nasution, a Turing Scheme visiting PhD student from the University of Manchester. |
| Feb 14, 2025 | Looking forward to attend the MFO Mini-Workshop: Statistical Challenges for Deep Generative Models next week to discuss generative models and give a talk on our latest work on SDE Matching and Neural Flow Diffusion Models! |
| Jan 22, 2025 | Decisions for AISTATS are out! The lab and collaborators are excited to present 2 (out of 2!) accepted papers: Stay tuned for code and camera-ready versions! |
| Jan 1, 2025 | The lab is glad to welcome a new postdoc, Hany Abdulsamad, to the team. |
| 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.  |
| 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! |
| Aug 26, 2024 | I am currently recruiting a postdoc to work with me. The postdoc will be embedded within the UvA-Bosch Delta Lab 2 and AMLab. Apply here, I will be reviewing applications on a rolling basis till the position is filled. |
| Jul 19, 2024 | We will attend AABI and ICML July 21-27 in Vienna, Austria. The lab and collaborators are presenting several exciting contributions:
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| Jul 1, 2024 | The lab welcomes Raghuram D R, a visiting PhD student from Bielefeld University to work on generative models for genomics. |
| Mar 1, 2024 | The lab welcomes François Cornet, a visiting PhD student from the Technical University of Denmark - DTU. |
| Feb 14, 2024 | I am delighted to announce that I will serve as program chair for the 6th Symposium on Advances in Approximate Bayesian Inference AABI 2024 co-located with ICML 2024. This year we are introducing an archival option for full papers! |
| Dec 21, 2023 | I am currently recruiting a postdoc to work with me. The postdoc will be embedded within the UvA-Bosch Delta Lab 2 and AMLab. Apply here, deadline is February 4, 2024. |
| Dec 18, 2023 | Starting in 2024 I will take over as the lab manager for the UvA-Bosch Delta Lab 2. |
| Jul 10, 2023 | I am looking forward to attend and present our work on diffusion models at the 2023 ELLIS unConference in Paris coincident with ICML in Hawaii in 2 weeks! |
| Feb 28, 2023 | I am (co-)organizing the 5th Symposium on Advances in Approximate Bayesian Inference AABI 2023 co-located with ICML 2023. |
| Dec 16, 2022 | I am delighted to be invited to attend and give a talk at the CMStatistics special invited session on Grand challenges and advances in Bayesian computation. |
| Sep 1, 2022 | I am very glad to welcome a new PhD Candidate, Grigory Bartosh, to the lab. |
| Aug 25, 2022 | I will attend and give a talk at the Second Workshop on Monte Carlo and Approximate Dynamic Programming Methods. |
| Aug 9, 2022 | I am serving as a Workflow Chair for AISTATS 2023. |