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jkobialka.bsky.social

@jkobialka.bsky.social
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Journal of Open Source Software @joss-openjournals.bsky.social · 03/08/2026
Just published in JOSS: 'bde: A Python Package for Bayesian Deep Ensembles via MILE' doi.org/10.21105/joss.10653
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Martin Trapp @trappmartin.eurosky.social · 02/05/2026
The prior strikes back, awesome work by @davidruegamer.bsky.social’s group. Thanks to Julius for the great explanation. #AISTATS
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David Rügamer @davidruegamer.bsky.social · 06/12/2025
After yesterday's Salon de Refusés paper presentation and today's EIML workshop paper presentation with @jkobialka.bsky.social, we will conclude with an oral by @erpel.bsky.social at the MedEurIPS workshop tomorrow 🔥 Very happy that we had so many great opportunities to present our research! ❤️EurIPS
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David Rügamer @davidruegamer.bsky.social · 23/04/2025
Arriving in Singapore this afternoon 🛬 I'll attend #ICLR2025, #AABI2025, and #AISTATS2025 together with many of my students and collaborators to present our 2 orals, 5 posters, and 14 workshop contributions 🚀 Feel free to drop by!
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David Rügamer @davidruegamer.bsky.social · 06/03/2025
Connecting neural network solutions via a low-loss path reveals a subspace of highly performant hypotheses. In our AIStats paper (arxiv.org/pdf/2503.03382), we study direct optimization of such paths and their ambient spaces 🌐. Better understanding this space can enable improved subspace sampling.
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David Rügamer @davidruegamer.bsky.social · 22/01/2025
🔥🔥 Two papers accepted at #AISTATS2025 💪 - Oral: *Additive Model Boosting: New Insights and Path(ologie)s* by @rickmer.bsky.social - Poster: *Paths and Ambient Spaces in Neural Loss Landscapes* from Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, Oliver Dürr
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