Lightnews — Scholar-powered news

Julian Suk @sukjulian.bsky.social · 11h

Maths YouTube is really taking off lately! Check out these creators that I particularly enjoy:

• 3Blue1Brown (obviously)
• Mutual Information (machine learning and computation)
• Aleph 0 (pure mathematics, beautiful visuals)
• Sheafification of G (chaotic and stimulating, lots of memes)

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Julian Suk @sukjulian.bsky.social · 14h

Paper:
• sciencedirect.com/science/article/pii/S016926072500375X
• arxiv.org/abs/2410.11920

Code:
• github.com/sukjulian/deep-vectorised-operators

Collaboration with Guido Nannini, Patryk Rygiel, @christophbrune.bsky.social, Gianluca Pontone, Alberto Redaelli and @jelmerwolterink.bsky.social

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Julian Suk @sukjulian.bsky.social · 14h

We propose a time-efficient surrogate model for the extrapolation of transient fluid dynamics from a steady-state flow and pressure field in coronary arteries. Like all neural operators, the model learns a discretisation-independent map between (infinite-dimensional) function spaces.

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Julian Suk @sukjulian.bsky.social · 14h

Neural operators are gaining traction in science and engineering as fast surrogates for time-intensive physics simulation.

Introducing "Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries" (published in Computer Methods and Programs in Biomedicine).

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Reposted by Julian Suk

Bastian Grossenbacher-Rieck @pseudomanifold.topology.rocks · Aug 7

If you are excited about representation learning, point clouds, higher-order complexes, or just curious about geometry/topology, this talk is for you!

👉 youtube.com/watch?v=frjm...

🧵4/5

Shapes, Spaces, Simplices, and Structure: Geometry, Topology, and Machine Learning

YouTube video by Bastian Grossenbacher-Rieck

youtube.com

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Julian Suk @sukjulian.bsky.social · Aug 4

I am happy to announce that I have started a postdoc position at @aim-lab.bsky.social and @munichcenterml.bsky.social, Technical University of Munich under the supervision of @danielrueckert.bsky.social. Looking forward to this new chapter 🥨🎓

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Julian Suk @sukjulian.bsky.social · Aug 4

I also found out that William Kingdon Clifford (after whom Clifford algebra is named) is buried in London, so I visited his grave to pay respects.

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Julian Suk @sukjulian.bsky.social · Aug 4

...and to the organisers (including @simofoti.bsky.social, @valegiunca.bsky.social, @daniel-platt.bsky.social and @pragya-singh.bsky.social) for this great opportunity.

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Julian Suk @sukjulian.bsky.social · Aug 4

Three weeks ago I had the pleasure of mentoring a project at @logml.bsky.social. We looked into cortical surface parcellation from a geometric angle and had a lot of fun! Thanks to my project group (including @mustas.bsky.social and @zhengdiyu.bsky.social) for the trust...

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Julian Suk @sukjulian.bsky.social · Aug 1

Special thanks to my committee @erikjbekkers.bsky.social, Oscar Camara, Remco Duits, Bernard Geurts, Michel Versluis, and Jolanda Wentzel, my paranymphs @dieuwertjea.bsky.social and Patryk Rygiel and of course my supervisors @jelmerwolterink.bsky.social and @christophbrune.bsky.social!

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Julian Suk @sukjulian.bsky.social · Aug 1

It's already been two months but better late than never: I have successfully defended my PhD 🎉 It's been a roller coaster ride and I enjoyed every minute of it! I am forever grateful for the awesome people I met along the way (you know who you are ✌️).

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Reposted by Julian Suk

SPARTA research project @projekt-sparta.bsky.social · Jul 21

🚨 New analysis: 257 suspicious X/Twitter accounts identified, spreading among others far-right narratives, anti-migration, anti-vaccine, and climate disinformation in the period before and after the 2025 German federal election.
👉 Report: dtecbw.de/sparta/
#Disinformation #btw25

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Reposted by Julian Suk

Ruben Wiersma @rubenwiersma.nl · Jul 14

Simple idea to filter out (some) LLM-written papers with non-existent references: check the reference file agains DBLP and desk reject if a certain % of citations doesn't exist.

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Reposted by Julian Suk

Gabriel Peyré @gabrielpeyre.bsky.social · May 25

I have cleaned up the notebooks for my course on Optimal Transport for Machine Learners and added links to the slides and lecture notes. github.com/gpeyre/ot4ml

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Julian Suk @sukjulian.bsky.social · May 24

Enschede crowd you don't want to miss this! Join us for two exciting talks by Jolanda Wentzel and @erikjbekkers.bsky.social. As a bonus, you get to see me in "appropriate traditional dress from [my] country of origin".

📅 28 May
📍 UTwente campus

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Reposted by Julian Suk

Francisco Acosta @franciscoacosta.bsky.social · May 23

We are looking for reviewers to serve on the Program Committee of the Symmetry and Geometry in Neural Representations (NeurReps) workshop at NeurIPS 2025! If you are interested in participating, please fill out this form: forms.gle/wgUXHT7Mq71n...

@neurreps.bsky.social

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Reposted by Julian Suk

Multiscale AI @ ICLR 2025 @multiscaleai.bsky.social · May 5

ICLR 2025 MLMP best poster award goes to "ViNE-GATr: scaling geometric algebra transformers with virtual nodes embeddings"! Congratulations @sukjulian.bsky.social, Thomas Hehn, @arashbehboodi.bsky.social, Gabriele Cesa!

Equivariant neural networks can effectively model physical systems by naturally handling the underlying geometric quantities and preserving their symmetries, but scaling them to large geometric data remains challenging. Naive downsampling typically disrupts features’ transformation laws, limiting their applicability in large scale settings. In this work, we propose a scalable equivariant transformer that efficiently processes geometric data in a coarse-grained latent space while preserving E(3) symmetries of the problem. In particular, by building on the Geometric Algebra Transformer (GATr) and PerceiverIO architectures, our method learns equivariant latent tokens which allow us to decouple the processing complexity from the input data representation while maintaining global equivariance.

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Reposted by Julian Suk

LOGML Summer School @logml.bsky.social · Mar 11

Join one of the exciting projects led by: @ffabffrasca.bsky.social, Caterina Graziani, Anthea Monod & Omer Bobrowski, Guadalupe Gonzalez & Chirag Agarwal, @sukjulian.bsky.social, Vijay Prakash Dwivedi, Michael Murray, Yasha Ektefaie, Edward Hirst, Tancredi Schettini Gherardini

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Reposted by Julian Suk

Max Zhdanov @maxxxzdn.bsky.social · Mar 5

🤹 Excited to share Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems

joint work with @wellingmax.bsky.social and @jwvdm.bsky.social

preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin

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Reposted by Julian Suk

Erik Bekkers @erikjbekkers.bsky.social · Feb 26

🚀 Excited to be part of this project led by Praneeta Konduri! We’re using state-of-the-art generative models to create synthetic vasculature geometries—pushing stroke treatment development forward while cutting down on patient data reliance. Exciting stuff! 😃 rdt.uva.nl/research/res...

Synthetic data to enhance new treatment uptake for acute ischemic stroke - Responsible Digital Transformations

Multiple (pre-)clinical trials are required in the regulatory trajectory to introduce new medical devices in clinical practice. The process is widely acknowledged as sub-optimal, resource-heavy, and t...

rdt.uva.nl

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Reposted by Julian Suk

Mathilde Ripart @mathrip.bsky.social · Feb 25

Very pleased to officially introduce MELD Graph, a novel AI tool for the detection of subtle focal cortical dysplasia (FCD) lesions in epilepsy patients.

Check out our paper published in JAMA Neurology yesterday! 😀https://jamanetwork.com/journals/jamaneurology/fullarticle/2830410

Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks

This study evaluates the efficacy and interpretability of graph neural networks in automatically detecting focal cortical dysplasia lesions on magnetic resonance imaging scans.

jamanetwork.com

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Julian Suk @sukjulian.bsky.social · Jan 26

What's a bit scary is the extent to which the right-wing extremist AfD's posts seem to dominate German-language socal media (in quantity, not quality). I really hope the right people see this and it is an eye-opener to them. We must resist, collectively.

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Julian Suk @sukjulian.bsky.social · Jan 26

Germans (or everyone interested in the upcoming federal election): this website does live monitoring of social media discourse (mostly X, formerly Twitter) by automatically labelling posts as friendly or hostile towards political parties and candidates. Super insightful!

SPARTA research project @projekt-sparta.bsky.social · Jan 23

#ProjektSPARTA ist live! 🚀
Ab sofort bietet unser Dashboard zur #btw25 spannende Einblicke in den Wahlkampf auf den sozialen Medien. Verfolgt die wichtigsten Trends und Analysen in Echtzeit!
👉 Jetzt entdecken: dtecbw.de/sparta
#Bundestagswahl2025

dtecbw.de

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Reposted by Julian Suk

SPARTA research project @projekt-sparta.bsky.social · Jan 24

Im ARD-MiMa hat @jasminriedl.bsky.social heute spannende Einblicke in unser #ProjektSPARTA gegeben und darüber gesprochen inwiefern der Twitter/X-Algorithmus den Wahlkampf zur #btw25 beeinflussen kann.
🎥 Zum TV-Beitrag: bit.ly/ARD_MiMa
📊 Unsere Analysen: dtecbw.de/sparta/
#Bundestagswahl2025

ARD-Mittagsmagazin vom 24. Januar - hier anschauen

+++ Nach Unfall mit Frachtschiff: Neues Schleusentor wird eingebaut +++ Kulinarisches aus aller Welt: 'Texas Barbecue' +++ Milde Winter ohne Schnee: Skigebiete schließen Liftanlagen +++

bit.ly

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Reposted by Julian Suk

Emma Robinson @ICLR2025 @metricsemma.bsky.social · Dec 17

Need cortical surface extraction which is time efficient while being more anatomically correct than classic pipelines? Try Qiang Ma's pipeline - tuned for neonatal (dHCP) but we are already using it for fetal and works on ya HCP arxiv.org/abs/2405.08783 github.com/m-qiang/dhcp...

The Developing Human Connectome Project: A Fast Deep Learning-based Pipeline for Neonatal Cortical Surface Reconstruction

The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human brain during the perinatal period. An automated processing pipeline has been developed to extract hig...

arxiv.org

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