Nico Krämer

EurIPS includes a call for both Workshops and Affinity Workshops!
We look forward to making #EurIPS a diverse and inclusive event with you.

The submission deadlines are August 22nd, AoE.

More information at:
eurips.cc/call-for-wor...
eurips.cc/call-for-aff...

A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation - npj Climate and Atmospheric Science npj Climate and Atmospheric Science - A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation

🌦️ A generative diffusion model that maps coarse climate simulations to a posterior distribution over coherent local weather patterns.
I’d be curious to hear what you think!

🔗 Paper: www.nature.com/articles/s41...

Very nice!

1/
🚨 New paper at #ICML2025!
Identifying Latent Metric Structures in Deep Latent Variable Models 🎉
We solve part of the identifiability puzzle in generative models — using geometry. 🧵

Nicholas Kr\"amer, Filip Tronarp
Numerically robust Gaussian state estimation with singular observation noise
https://arxiv.org/abs/2503.10279

Awesome, thanks!

Looks great! Unless I've missed something, the style file does not contain any information about appendices ("appendix" vs "supplement", same/separate file, single/double column, etc.). Is that intended?

Big news: you can now submit your papers to the first ever international conference on probabilistic numerics (1-3 September, Southern France)! Don’t miss the chance to get in on the ground floor of this exciting new field! probnum25.github.io/submissions

Numerically Robust Fixed-Point Smoothing Without State Augmentation

Nicholas Krämer

Action editor: Jake C. Snell

https://openreview.net/forum?id=LVQ8BEL5n3

#smoothing #robustness #robust

This is really cool!

Poster session happening *today* at 4:30 local time.

*East* Exhibit Hall. Poster #3511.

Looking forward to presenting this work! See you there? 🙂

Heading to Vancouver for NeurIPS to present our paper “On Conditional Diffusion Models for PDE Simulation”. I'll be together with Sasha and Cristiana at poster 2500 during Thursday’s late afternoon session. Looking forward exciting discussions and meeting new people! 🥸🥸

neurips.cc/virtual/2024...

📢 On Sunday, catch me at the D3S3 workshop (d3s3workshop.github.io), where I'll talk about probabilistic numerics and simulation from 1:00–1:30 p.m.
This workshop gonna be great fun!

Looking forward to connecting with everyone!

This is not just for the autodiff and linear algebra folks. The paper also discusses PDEs, Gaussian processes, and Bayesian neural networks. Oh, and there is also plenty of #JAX code: github.com/pnkraemer/ma...

⭐ On Wednesday, I'll be presenting a poster on our spotlight paper:

Gradients of Functions of Large Matrices (arxiv.org/abs/2405.17277). Stop by Poster Session 2 East, Wed 11 Dec, 4:30–7:30 p.m. to say hi! :)

🛩️ On my way to #NeurIPS2024 and excited to chat about (ML applications of) linear algebra, differentiable programming, and probabilistic numerics!

Feel free to DM if you’d like to meet up, hang out, and/or discuss any of these topics 😊

(Where to find me & paper info? -> Thread)

I don't think I can help with that, sorry.

This is gonna be awesome!

We'll be around to discuss evaluating gradients of functions of la(aaaa)rge matrices arxiv.org/abs/2405.17277 and possible applications in GPs, PDEs, BNNs and beyond 😊

@nathanaelbosch.bsky.social

Really looking forward to this! 🤩

Trembling with excitement in announcing the first ever International Conference on Probabilistic Numerics! Probabilistic Numerics is about machine learning FOR numerical computation, like optimisation. 1st - 3rd September 2025, EURECOM, France, submissions due 5th March 2025. probnum25.github.io

Elizabeth L. Baker, Moritz Schauer, Stefan Sommer
Score matching for bridges without time-reversals
https://arxiv.org/abs/2407.15455