🔄 Updated Arxiv Paper
Title: Learning to accelerate distributed ADMM using graph neural networks
Authors: Henri Doerks, Paul H\"ausner, Daniel Hern\'andez Escobar, Jens Sj\"olund
Read more: https://arxiv.org/abs/2509.05288
08.09.2025 08:16 — 👍 1 🔁 2 💬 0 📌 0
I’m happy to share that I’ll be spending the fall semester at Princeton as a visiting student in the Department of Operations Research and Financial Engineering (ORFE), working with @stellato.io funded through the WASP program. If you’re in the area and would like to connect, feel free to reach out.
06.08.2025 01:24 — 👍 11 🔁 1 💬 0 📌 0
NeurIPS participation in Europe
We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
30.03.2025 18:04 — 👍 281 🔁 160 💬 6 📌 13
I’d also like to extend my gratitude to my fellow organizers Jens Sjölund (@jsjol.bsky.social) , Elias Nyholm and Sebastian Mair for making this happen. Looking forward to building on this momentum!
14.02.2025 09:36 — 👍 0 🔁 1 💬 0 📌 0
A huge thank you to everyone who participated—your contributions made this an inspiring and insightful event! We had two exciting keynote talks by @smnlssn.bsky.social and Kathlén Kohn, along with a diverse lineup of contributed talks and posters from participants around Scandinavia.
14.02.2025 09:34 — 👍 1 🔁 0 💬 1 📌 0
Jens Sjölund giving the opening remarks for the LoG meetup
Audience of the LoG meetup
Poster session at the LoG meetup
Organizing team of the LoG meetup
This week, we had the pleasure of hosting Sweden’s first @logconference.bsky.social meetup at Uppsala University! Over two days, we brought together researchers and industry professionals working at the intersection of machine learning, graphs, and geometry.
14.02.2025 09:32 — 👍 7 🔁 2 💬 1 📌 0
LoG Meetup Sweden
A two-day workshop to bring together people from academia and industry working on machine learning with graphs and geometry.
The official LoG conference meetup in Sweden
Also don’t forget to sign up for our LoG meetup that is taking place in February at Uppsala University 🇸🇪! We’ll have some great keynotes and there are still slots for contributed presentations and posters.
sites.google.com/view/logmeet...
21.11.2024 15:53 — 👍 2 🔁 1 💬 0 📌 0
Neural incomplete factorization: learning preconditioners for the...
The convergence of the conjugate gradient method for solving large-scale and sparse linear equation systems depends on the spectral properties of the system matrix, which can be improved by...
Hej 🦋! I’m happy to share that our latest TMLR paper that uses graph neural networks to learn incomplete factorization preconditioners for the conjugate gradient method has been accepted as an oral presentation at next week’s Learning on Graphs (LoG) conference!
openreview.net/forum?id=Foz...
21.11.2024 15:53 — 👍 7 🔁 0 💬 1 📌 0
Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German.
www.ethz.ch
Associate Professor of Industrial Engineering & Management. Interests in #orms #networks #districting. Senior Member of INFORMS. Blogs at https://farkasdilemma.wordpress.com/ Website: https://austinlbuchanan.github.io/
Postdoctoral researcher @ CIIRC, CTU, Prague working in vision & language. Also robotics noob. PhD from University of Bristol. Ex. Samsung Research (SAIC-C). I love coffee and plants. And socks.
CNRS research scientist, based at ENS de Lyon
I'm interested in AI for imaging inverse problems
Looking to hire phds/postdocs!
🇦🇷🇬🇧🇫🇷
Website: https://tachella.github.io/
Deepinverter: https://deepinv.github.io/
@Harvard Professor & Director Ctr for Computation & Society
@HCRCS
@GoogleDeepMind
Principal Scientist & Director for AI for Social Good
#AIforSocialGood #AIforSocialImpact #AIforhealth #AIforConservation
ML Research scientist. Interested in geometry, information theory and statistics 🧬
Opinions are my own. :)
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
ML + Cells + Proteins. PI @ Aithyra
Associate Professor – Department of Computer Science, Aalto University – theory of distributed & parallel computing – https://jukkasuomela.fi
Doudna Lab at UC Berkeley, Innovative Genomics Institute founder, CRISPR co-inventor and Nobel laureate innovativegenomics.org/
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Final year Ph.D. candidate in NLP, CV at JHU. Researching reasoning systems, multimodality, and AI for science. On the job market for full-time industry positions! #NLProc
https://katesanders9.github.io/
HPC, solvers, optimisation, PDE, mathematical modelling
Associate Professor at DTU | optimization enthusiast | CVXOPT maintainer
Mostly replying to cat pictures and occasionally posting about tech policy...
CVXPY Maintainer
he/him
Associate Professor, Math. Dept., Uppsala University.
Amateur radio, amateur sailing, amateur tinkerer, amateur amateur …
www.troscheit.eu
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Assistant Professor @JohnsHopkins.
.
Optimization and Machine Learning.
nicolasloizou.github.io
Professor of #OperationalResearch at Kent Business School, UK 🇬🇧 Passionate about #optimization for #sustainable #development and the #SDGs. Mom of three. 🇮🇹
https://www.kent.ac.uk/kent-business-school/people/895
I study Mathematical Optimization @UCLouvain