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Julius Vetter

@vetterj.bsky.social
67 followers 51 following 0 posts

PhD student at @mackelab.bsky.social

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Reposted by Julius Vetter
Guy Moss @gmoss13.bsky.social · 01/12/2025
I’m super excited to present our new work in #Eurips2025 and #Neurips2025! We developed FNOPE: a new simulation-based inference (SBI) method which excels at inferring function-valued parameters! Paper: openreview.net/forum?id=yB5... Code: github.com/mackelab/fnope (1/9)
openreview.net
FNOPE: Simulation-based inference on function spaces with Fourier...
Simulation-based inference (SBI) is an established approach for performing Bayesian inference on scientific simulators. SBI so far works best on low-dimensional parametric models. However, it is...
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Reposted by Julius Vetter
Auguste Schulz @auschulz.bsky.social · 11/12/2024
1) With our @neuripsconf.bsky.social poster happening tomorrow, it's about time to introduce our Spotlight paper 🔦, co-lead with @jkapoor.bsky.social: Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:
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Reposted by Julius Vetter
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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