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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!

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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Reposted by Yorgos

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

A great joint work with Gabriele D' Acunto, Fabio Zennaro and Paolo Di Lorenzo!🙏

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

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

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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

It was the first picture I took in Vancouver

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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

Huge shoutout to all the collaborators of this fantastic team: Joel Dyer, Nick Bishop, Fabio Zennaro, Ani Calinescu, Theo Damoulas and Michael Wooldridge🙏

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

If you want to learn more, join us at poster #5004 in West Ballroom A-D on Thursday, December 12th, from 4:30 PM to 7:30 PM!

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

This work leverages Causal Abstraction theory to build causally consistent surrogates for complex simulation models, enabling more efficient policy evaluation and decision-making. Paper: openreview.net/forum?id=UtT... Blog post: www.nickbishop.net/2024/11/02/i...

openreview.net

Interventionally Consistent Surrogates for Complex Simulation Models

Large-scale simulation models of complex socio-technical systems provide decision-makers with high-fidelity testbeds in which policy interventions can be evaluated and _what-if_ scenarios explored....

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

nickbishop.net

Interventionally Consistent Surrogates for ABMs

This blog post outlines a recent paper which I worked on with my fantastic collaborators Joel Dyer, Fabio Zennaro, Yorgos Felekis, Theo Damoulas, Anisoara Calinescu and Mike Wooldridge. This work is s...

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