Anton Baumann
@antonbaumann.bsky.social
Reposted by Anton Baumann
The Nobel Prize committee should announce the World Cup winner tomorrow
December 6, 2025 at 4:29 AM
The Nobel Prize committee should announce the World Cup winner tomorrow
Reposted by Anton Baumann
I am hiring a PhD & postdoc to work together with me at KTH on probabilistic machine learning. Both positions are fully funded and part of WASP.
I will be attending @euripsconf.bsky.social, if you are around and want to talk about the positions or what we do at KTH, then ping me and we can meet.
I will be attending @euripsconf.bsky.social, if you are around and want to talk about the positions or what we do at KTH, then ping me and we can meet.
November 23, 2025 at 11:39 AM
I am hiring a PhD & postdoc to work together with me at KTH on probabilistic machine learning. Both positions are fully funded and part of WASP.
I will be attending @euripsconf.bsky.social, if you are around and want to talk about the positions or what we do at KTH, then ping me and we can meet.
I will be attending @euripsconf.bsky.social, if you are around and want to talk about the positions or what we do at KTH, then ping me and we can meet.
Reposted by Anton Baumann
Want to work on Trustworthy AI? 🚀
I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems.
The position will be co-advised by Hossein Azizpour or Henrik Boström.
I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems.
The position will be co-advised by Hossein Azizpour or Henrik Boström.
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Martin Trapp - Assistant Professor in Machine Learning at KTH Royal Institute of Technology.
trappmartin.github.io
October 2, 2025 at 2:46 PM
Want to work on Trustworthy AI? 🚀
I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems.
The position will be co-advised by Hossein Azizpour or Henrik Boström.
I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems.
The position will be co-advised by Hossein Azizpour or Henrik Boström.
Reposted by Anton Baumann
Unfortunately, our submission to #NeurIPS didn’t go through with (5,4,4,3). But because I think it’s an excellent paper, I decided to share it anyway.
We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff!
📝 arxiv.org/abs/2412.06014
We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff!
📝 arxiv.org/abs/2412.06014
Post-hoc Probabilistic Vision-Language Models
Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, VLMs deterministically map images and text descripti...
arxiv.org
September 18, 2025 at 8:34 PM
Unfortunately, our submission to #NeurIPS didn’t go through with (5,4,4,3). But because I think it’s an excellent paper, I decided to share it anyway.
We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff!
📝 arxiv.org/abs/2412.06014
We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff!
📝 arxiv.org/abs/2412.06014
Reposted by Anton Baumann
Reposted by Anton Baumann
I'm very excited to share notes on Probabilistic AI that I have been writing with @arkrause.bsky.social 🥳
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
February 11, 2025 at 8:19 AM
I'm very excited to share notes on Probabilistic AI that I have been writing with @arkrause.bsky.social 🥳
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
arxiv.org/pdf/2502.05244
These notes aim to give a graduate-level introduction to probabilistic ML + sequential decision-making.
I'm super glad to be able to share them with all of you now!
Reposted by Anton Baumann
Tomorrow I’ll be presenting our recent work on improving LLMs via local transductive learning in the FITML workshop at NeurIPS.
Join us for our ✨oral✨ at 10:30am in east exhibition hall A.
Joint work with my fantastic collaborators Sascha Bongni, @idoh.bsky.social, @arkrause.bsky.social
Join us for our ✨oral✨ at 10:30am in east exhibition hall A.
Joint work with my fantastic collaborators Sascha Bongni, @idoh.bsky.social, @arkrause.bsky.social
December 13, 2024 at 6:32 PM
Tomorrow I’ll be presenting our recent work on improving LLMs via local transductive learning in the FITML workshop at NeurIPS.
Join us for our ✨oral✨ at 10:30am in east exhibition hall A.
Joint work with my fantastic collaborators Sascha Bongni, @idoh.bsky.social, @arkrause.bsky.social
Join us for our ✨oral✨ at 10:30am in east exhibition hall A.
Joint work with my fantastic collaborators Sascha Bongni, @idoh.bsky.social, @arkrause.bsky.social
Reposted by Anton Baumann
I will present ✌️ BDU workshop papers @ NeurIPS: one by Rui Li (looking for internships) and one by Anton Baumann.
🔗 to extended versions:
1. 🙋 "How can we make predictions in BDL efficiently?" 👉 arxiv.org/abs/2411.18425
2. 🙋 "How can we do prob. active learning in VLMs" 👉 arxiv.org/abs/2412.06014
🔗 to extended versions:
1. 🙋 "How can we make predictions in BDL efficiently?" 👉 arxiv.org/abs/2411.18425
2. 🙋 "How can we do prob. active learning in VLMs" 👉 arxiv.org/abs/2412.06014
December 10, 2024 at 3:18 PM
I will present ✌️ BDU workshop papers @ NeurIPS: one by Rui Li (looking for internships) and one by Anton Baumann.
🔗 to extended versions:
1. 🙋 "How can we make predictions in BDL efficiently?" 👉 arxiv.org/abs/2411.18425
2. 🙋 "How can we do prob. active learning in VLMs" 👉 arxiv.org/abs/2412.06014
🔗 to extended versions:
1. 🙋 "How can we make predictions in BDL efficiently?" 👉 arxiv.org/abs/2411.18425
2. 🙋 "How can we do prob. active learning in VLMs" 👉 arxiv.org/abs/2412.06014