Lightnews — Scholar-powered news

Reposted by Nico Krämer

Motonobu Kanagawa @motonobu-kanagawa.bsky.social · Sep 7

Accepted papers at ProbNum 2025 have now been published as a volume in Proceedings of Machine Learning Research (PMLR). Thank you to all the authors for their beautiful papers and to the PMLR editor Prof Neil Lawrence @lawrennd.bsky.social for making this possible.

proceedings.mlr.press/v271/

5 14

Reposted by Nico Krämer

EurIPS Conference @euripsconf.bsky.social · Jul 28

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...

21 37

Reposted by Nico Krämer

Jonathan Schmidt @schmidtjonathan.bsky.social · Jul 21

🌦️ 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...

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

www.nature.com

1 2

Nico Krämer @pnkraemer.bsky.social · Jul 18

Very nice!

EurIPS Conference @euripsconf.bsky.social · Jul 16

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅

EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu

eurips.cc

Reposted by Nico Krämer

Stas Syrota @mustas.bsky.social · Jul 14

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. 🧵

1 2 6

Reposted by Nico Krämer

arxiv.stat.ME @arxiv-stat-me.bsky.social · Mar 14

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

1

Nico Krämer @pnkraemer.bsky.social · Feb 17

Awesome, thanks!

Nico Krämer @pnkraemer.bsky.social · Feb 13

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?

1 1

Reposted by Nico Krämer

M A Osborne @maosbot.bsky.social · Feb 12

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

ProbNum25 : Submissions

Coming

probnum25.github.io

5 24

Reposted by Nico Krämer

TMLR Published Papers @tmlr-pub.bsky.social · Feb 8

Numerically Robust Fixed-Point Smoothing Without State Augmentation

Nicholas Krämer

Action editor: Jake C. Snell

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

#smoothing #robustness #robust

1 4

Nico Krämer @pnkraemer.bsky.social · Dec 12

This is really cool!

Richard Michael @rdmichael.bsky.social · Dec 12

Working on (high-dimensional) Bayesian optimization and care about reproducible, robust comparisons?

Check out our poster presented by @miguelgondu.bsky.social : neurips.cc/virtual/2024... at #NeurIPS2024

Paper: arxiv.org/abs/2406.04739
Site: machinelearninglifescience.github.io/hdbo_benchma...
🧵

NeurIPS Poster A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencesNeurIPS 2024

neurips.cc

2

Nico Krämer @pnkraemer.bsky.social · Dec 11

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

*East* Exhibit Hall. Poster #3511.

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

Nico Krämer @pnkraemer.bsky.social · Dec 9

🛩️ 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)

5

Reposted by Nico Krämer

Federico Bergamin @federicobergamin.bsky.social · Dec 9

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...

4 8

Nico Krämer @pnkraemer.bsky.social · Dec 9

📢 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!

3

Nico Krämer @pnkraemer.bsky.social · Dec 9

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...

1 3

Nico Krämer @pnkraemer.bsky.social · Dec 9

⭐ 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! :)

1

Nico Krämer @pnkraemer.bsky.social · Dec 9

🛩️ 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)

1 3 11

Nico Krämer @pnkraemer.bsky.social · Nov 25

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

1

Nico Krämer @pnkraemer.bsky.social · Nov 22

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 😊

1 1 10

Nico Krämer @pnkraemer.bsky.social · Nov 20

@nathanaelbosch.bsky.social

2

Nico Krämer @pnkraemer.bsky.social · Nov 18

Really looking forward to this! 🤩

Motonobu Kanagawa @motonobu-kanagawa.bsky.social · Nov 17

We are organising the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in southern France in Sep 2025. Topics: AI, ML, Stat, Sim, and Numerics. Reposts very much appreciated!

probnum25.github.io

1 5

Reposted by Nico Krämer

M A Osborne @maosbot.bsky.social · Nov 12

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

ProbNum25

Coming

probnum25.github.io

2 13 34

Reposted by Nico Krämer

arxiv stat.ML @arxiv-stat-ml.bsky.social · Jul 23

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

2 1