🏹 Job alert: PhD Student for Sustainable and Resource-Efficient Machine Learning at Linköping University 📍 Linköping 🇸🇪 ⏰ Apply by 24 April 🔗 https://bit.ly/3OXMvDh
PhD Student for Sustainable and Resource-Efficient Machine Learning
bit.ly
Louis Ohl
@louisohl.bsky.social
Postdoc @ Linköping University, STIMA division oshillou.github.io
On December 2nd, I’ll be at the ELLIS UnConference presenting at the Poster Session my paper "Discriminative ordering through ensemble consensus" [UAI2025]. Looking forward to interesting talks in Copenhagen! Paper: openreview.net/forum?id=xjN...
« Can you train a standard classifier without labels ? » was the question we tried to investigate in this survey. Very happy to see @louisohl.bsky.social ‘s final PhD projet published in ACM CSUR!
Louis Ohl@louisohl.bsky.social · 11mo agoGreat news: our "Tutorial on discriminative clustering and mutual information" got upgraded from preprint to ACM Computing Surveys publication! (with @pamattei.bsky.social and Frédéric Precioso). It is available on open access here: dl.acm.org/doi/10.1145/...
Great news: our "Tutorial on discriminative clustering and mutual information" got upgraded from preprint to ACM Computing Surveys publication! (with @pamattei.bsky.social and Frédéric Precioso). It is available on open access here: dl.acm.org/doi/10.1145/...
A Tutorial on Discriminative Clustering and Mutual Information | ACM Computing Surveys
To cluster data is to separate samples into distinctive groups that should ideally have some cohesive properties. Today, numerous clustering algorithms exist, and their differences lie essentially in ...
dl.acm.org
What a pleasure #UAI2025 has been! Great researchers, great talks. I'm looking forward to coming another time! Thanks a lot for the organisation :-)
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
New preprint! Introducing "A tutorial on discriminative clustering and mutual information" With @pamattei.bsky.social and Frédéric Precioso. arxiv.org/abs/2505.04484 This preprint covers the history of discriminative clustering with pedagogical intents.
A Tutorial on Discriminative Clustering and Mutual Information
To cluster data is to separate samples into distinctive groups that should ideally have some cohesive properties. Today, numerous clustering algorithms exist, and their differences lie essentially in ...
arxiv.org
I'm glad to announce that our paper titled "Discriminative ordering through ensemble consensus" was accepted for a poster presentation at #uai2025. In collaboration with Fredrik Lindsten. Preprint: arxiv.org/abs/2505.04464 How to compare sets of very different clustering algorithms? (1/5)
Discriminative Ordering Through Ensemble Consensus
Evaluating the performance of clustering models is a challenging task where the outcome depends on the definition of what constitutes a cluster. Due to this design, current existing metrics rarely han...
arxiv.org
Had a blast today discussing and tracing the evolution of discriminative clustering methods at the Pioneer Centre for AI @aicentre.dk in Copenhagen. Lots of interesting talks and perspectives; thanks for the invitation! 📸: @jesfrellsen.bsky.social
Happy to announce that we released a new version of GemClus: v1.1.0. It now includes: - Compatibility with latest numpy - A novel gemini based on the chi2 divergence - An improved introductory documentation for anyone new to the concept Check it out: gemini-clustering.github.io
Welcome to GemClus documentation! — gemclus 1.1.0 documentation
gemini-clustering.github.io