Going to a ML conference from the comfort of my own city is a special and exciting thing happening next week at @euripsconf.bsky.social in Copenhagen. Looking forward to give our latest ICML paper another presentation at ELLIS UnConference and see how our new @neuripsconf.bsky.social paper fares!

Really looking forward to Eurips next week! 🇩🇰 😎 Not just because Bella Centre is literally a metro ride from home, but because it's really excellent to see the ML community gathering in Europe! If you're around, say hi! Here's where I'll be 🔽🔽

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/

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 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

nature.com

Very nice!

NeurIPS Europe@neuripseurope.bsky.social · last yr.

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

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

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!

Richard Michael@rdmichael.bsky.social · 2y ago

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... 🧵

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 · 2y ago

🛩️ 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)

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 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)

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 😊

Gradients of Functions of Large Matrices

Tuning scientific and probabilistic machine learning models $-$ for example, partial differential equations, Gaussian processes, or Bayesian neural networks $-$ often relies on evaluating functions of...

arxiv.org

ELLIS@ellis.eu · 2y ago

Check out the ELLIS Pre-NeurIPS Fest event today in...🇩🇰Copenhagen! ELLIS Unit Copenhagen is holding their event at the Pioneer Center for AI showcasing #NeurIPS posters and other Denmark-affiliated papers in #AI and #ML. More info: bit.ly/4fRFrAh

Really looking forward to this! 🤩

Motonobu Kanagawa@motonobu-kanagawa.bsky.social · 2y ago

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

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