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Yorgos

@yfelekis.bsky.social

PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io

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Reposted by Yorgos

Balázs @mbalazs98.bsky.social · 23/10/2025

Happy to share that I'll be talking about neuron position learning on the second day!

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Reposted by Yorgos

Gabriel Peyré @gabrielpeyre.bsky.social · 25/05/2025

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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riccardo @rmassidda.it · 19/05/2025

🔥 Got a great work on causal representation learning, abstraction, high-dimensional discovery, or other hot topics in causality? 🇧🇷 Don’t miss your chance to present in Rio at the CAR Workshop at #UAI2025! ⏰ Deadline is in 1 week – May 26! 🌐 sites.google.com/view/car-25/

sites.google.com

CAR

Causal Abstractions and RepresentationsWorkshop @ UAI 2025July 25th 2025, Rio de Janeiro 🇧🇷

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Yorgos @yfelekis.bsky.social · 02/04/2025

If it were an episode of Friends, it would be: The one where Causal Abstractions (finally) meet Causal Representation Learning! Speakers and CFP are out! See you in Rio🌴 #UAI #causality #workshop

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Yorgos @yfelekis.bsky.social · 04/02/2025

Hot off the press!💥 arxiv.org/abs/2502.00407

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Balázs @mbalazs98.bsky.social · 23/01/2025

New preprint out with @drtnowotny.bsky.social and @neworderofjamie.bsky.social arxiv.org/abs/2501.07331

arxiv.org

Efficient Event-based Delay Learning in Spiking Neural Networks

Spiking Neural Networks (SNNs) are attracting increased attention as a more energy-efficient alternative to traditional Artificial Neural Networks. Spiking neurons are stateful and intrinsically recur...

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Yorgos @yfelekis.bsky.social · 11/12/2024

That might be the most useful @neuripsconf.bsky.social post I've seen btw

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Reposted by Yorgos

Nicola Branchini @nicolabranchini.bsky.social · 11/12/2024

Interested in estimating posterior predictives in Bayesian inference? Really want to know if your approximate inference "is working"? Come to our poster at the NeurIPS BDU workshop on Saturday - see TL;DR below.

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Yorgos @yfelekis.bsky.social · 10/12/2024

State of AI #NeurIPS

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Reposted by Yorgos

Joel Dyer @joelnmdyer.bsky.social · 27/11/2024

See you at #NeurIPS2024! We’ll present two papers: 1) “Interventionally Consistent Surrogates for Complex Simulation Models”. Here, we propose a method for learning causal abstractions (“interventionally consistent surrogates”) of complex simulation models! openreview.net/pdf?id=UtTjg... (1/3)

openreview.net

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Yorgos @yfelekis.bsky.social · 07/12/2024

Next week will be ✈️to @neuripsconf.bsky.social together with @joelnmdyer.bsky.social and Nick Bishop to present our work on "Interventionally Consistent Surrogates for Complex Simulation Models". Details 👇

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