Julius Vetter
@vetterj.bsky.social
PhD student at @mackelab.bsky.social
Reposted by Julius Vetter
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
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Paper: openreview.net/forum?id=yB5...
Code: github.com/mackelab/fnope
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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...
openreview.net
December 1, 2025 at 8:34 AM
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)
Paper: openreview.net/forum?id=yB5...
Code: github.com/mackelab/fnope
(1/9)
Reposted by Julius Vetter
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:
Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:
December 11, 2024 at 7:43 AM
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:
Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:
Reposted by Julius Vetter
@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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Paper: openreview.net/forum?id=0cg...
Code: github.com/mackelab/sou...
(1/8)
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....
openreview.net
December 10, 2024 at 2:29 AM
@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)
Paper: openreview.net/forum?id=0cg...
Code: github.com/mackelab/sou...
(1/8)