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Sebastian Bischoff

@sbischoff.bsky.social

120 followers 104 following 8 posts

PhD student @mackelab.bsky.social and claassenlab in Tübingen

Posts Replies Media

Reposted by Sebastian Bischoff

Machine Learning in Science @mackelab.bsky.social · 09/12/2024

Thrilled to announce we have three #NeurIPS2024 papers! Interested in simulating realistic neural data with diffusion models or recurrent neural networks, or in source distribution sorcery? Have a look 👇 1/4

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Reposted by Sebastian Bischoff

Jakob Macke @jakhmack.bsky.social · 27/11/2024

Watching the sbi-toolbox grow up, seeing its many uses on a wide range of applications, and experiencing the growth, momentum + team-spirit of the sbi community has been amazing. We now have a short software paper with many new contributions and contributors! So many thanks, and get involved!

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Reposted by Sebastian Bischoff

Guy Moss @gmoss13.bsky.social · 10/12/2024

@vetterj.bsky.social and I are excited to present our work at #NeurIPS2024! We present Sourcerer: a maximum-entropy, sample-based solution to source distribution estimation. Paper: openreview.net/forum?id=0cg... Code: github.com/mackelab/sou... (1/8)

openreview.net

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

Scientific modeling applications often require estimating a distribution of parameters consistent with a dataset of observations - an inference task also known as source distribution estimation....

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