Sebastian Bischoff
@sbischoff.bsky.social
📤 119
📥 103
📝 8
PhD student
@mackelab.bsky.social
and claassenlab in Tübingen
reposted by
Sebastian Bischoff
Machine Learning in Science
about 1 year ago
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
about 1 year ago
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!
add a skeleton here at some point
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reposted by
Sebastian Bischoff
Guy Moss
about 1 year ago
@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...
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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....
https://openreview.net/forum?id=0cgDDa4OFr
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