CAR
Causal Abstractions and RepresentationsWorkshop @ UAI 2025July 25th 2025, Rio de Janeiro ๐ง๐ท
๐ฅ Five days left to submit your work to our causality workshop at #UAI2025!
๐ง๐ท You bring the paper, we bring world-class keynote speakers, and Rio brings the iconic Copacabana Beach. What more could you ask for?
โ ๏ธ Extended Deadline โ May 28th!
๐ sites.google.com/view/car-25/
24.05.2025 08:14 โ ๐ 9 ๐ 6 ๐ฌ 0 ๐ 0
CAR
Causal Abstractions and RepresentationsWorkshop @ UAI 2025July 25th 2025, Rio de Janeiro ๐ง๐ท
๐ฅ Got a great work on causal representation learning, abstraction, high-dimensional discovery, or other hot topics in causality?
๐ง๐ท Donโt miss your chance to present in Rio at the CAR Workshop at #UAI2025!
โฐ Deadline is in 1 week โ May 26!
๐ sites.google.com/view/car-25/
19.05.2025 19:52 โ ๐ 15 ๐ 7 ๐ฌ 0 ๐ 1
On my way to Mai Khao๐๏ธ for #AISTATS2025, where I will present A Causal Framework for Evaluating Deferring Systems, a joint work with Filippo Palomba, Jose Alvarez and Salvatore Ruggieri.
1/5
29.04.2025 21:42 โ ๐ 2 ๐ 1 ๐ฌ 1 ๐ 0
If you are into Structural Causal Models, you're going to love Deep SCMs! โค๏ธ
On the next (and last for now!) talk, Audrey Poinsot (INRIA) will review DSCMs, their applications and open challenges.
๐ค See you tomorrow April 11th at 16:00 (CET) at meet.google.com/tng-aibh-yuz
๐๏ธ tinyurl.com/deepscm
10.04.2025 09:25 โ ๐ 3 ๐ 2 ๐ฌ 0 ๐ 0
๐จ Next appointment!
โ๏ธ Sergio Hernan Garrido Mejia (DTU, Denmark) will present us how to merge predictors in the causal and anti-causal directions trained from the same data.
๐ค See you in Pisa on April 4th at 16:00 (CET) or live at meet.google.com/tng-aibh-yuz
๐๏ธ Add it here! tinyurl.com/anticaus
03.04.2025 10:52 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
CAR
Causal Abstractions and RepresentationsWorkshop @ UAI 2025July 25th 2025, Rio de Janeiro ๐ง๐ท
๐ The first edition of the "Causal Abstractions and Representations" workshop is here!
๐ง๐ท Proudly hosted by @auai.org, we'll be in Rio de Janeiro on July 25, 2025.
๐จ Check out our invited speakers and the call for papers: we can't wait to see your submissions!
๐ sites.google.com/view/car-25/
02.04.2025 14:53 โ ๐ 6 ๐ 2 ๐ฌ 0 ๐ 1
Sure! Here's your post to advertise the next Causal Club talk:
๐ค Tomorrow, Nina Corvelo Benz from MPI-SWS will present her work on counterfactual token generation in LLMs!
๐ค See you in Pisa on March 28 at 16:00 (CET) or live at meet.google.com/tng-aibh-yuz
๐๏ธ Add it here: tinyurl.com/ctgllms
27.03.2025 14:24 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 1
Time for the next Causal Club speaker!
โณ Mouad El Bouchattaoui (Paris-Saclay University) will present a novel method for conterfactual regression over time (openreview.net/pdf?id=bKOZY...).
๐ค See you in Pisa on March 21 at 16:00 (CET) or live at meet.google.com/tng-aibh-yuz
20.03.2025 08:40 โ ๐ 4 ๐ 2 ๐ฌ 0 ๐ 0
โฐ Happening today at 4PM!
๐ฅ See you online at meet.google.com/tng-aibh-yuz
14.03.2025 11:06 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
Still thinking about that denied loan?
๐ฆ Then you can't miss @giovannidetoni.bsky.social talk on the causal role of time in algorithmic recourse
๐ค See you in Pisa on March 14 at 16:00 (CET) or live at meet.google.com/tng-aibh-yuz
๐๏ธ Click here to add it to your calendar: tinyurl.com/timecausalclub
12.03.2025 17:04 โ ๐ 4 ๐ 0 ๐ฌ 2 ๐ 2
โฐ Don't miss Mรกtyรกs talk today at 3PM!
๐ฅ See you online meet.google.com/cqt-ufji-xfz
๐ค ...or live in the CS Department of the University of Pisa!
07.03.2025 11:15 โ ๐ 7 ๐ 3 ๐ฌ 0 ๐ 0
Here's a talk you can't miss!
๐จ Next Friday, @matyasch.bsky.social will discuss how to efficiently estimate causal effects on large unknown graphs.
๐ค See you in Pisa on March 7 at 15:00 (CET) or live at meet.google.com/cqt-ufji-xfz
๐๏ธ Click here to add it to your calendar: tinyurl.com/snapcausclub
28.02.2025 16:24 โ ๐ 6 ๐ 1 ๐ฌ 0 ๐ 2
Professor at Sant'Anna School, Pisa (Italy)
Website: https://sites.google.com/view/alessiomoneta/
Machine Learner by day, ๐ฆฎ Statistician at โค๏ธ
In search of statistical intuition for modern ML & simple explanations for complex things๐
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Working towards the safe development of AI for the benefit of all at Universitรฉ de Montrรฉal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Machine learning, deep learning, and Bayesian methods. Assistant prof @FGVBrazil. Previously @AaltoUniversity. (Bad) Jokes are my own.
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
PhD student in the INtelligent Data Engineering lab at the University of Amsterdam, working in multimodal #causal #representation learning.
https://danrux.github.io/
Research Scientist @ Fondazione Bruno Kessler | Human-centric and Responsible AI | PhD in CS from University of Trento and ELLIS
PhD student on Causal inference at the University of Genoa | Formerly @AWS
https://miguelhernan.org/
Using health data to learn what works.
Making #causalinference less casual.
Director, @causalab.bsky.social
Professor, @hsph.harvard.edu
Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent.
Research in physics-inspired and geometric deep learning.
Fostering a dialogue between industry and academia on causal data science.
Causal Data Science Meeting 2025: causalscience.org
PhD Student Machine Learning & Causality with Bernhard Schรถlkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg
arminkekic.com
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
This is the Tรผbingen research campus of the Max Planck Society in Germany. We do basic research in fields of biology, neuroscience, and AI.
For Institute specific updates follow:
@mpicybernetics.bsky.social
@mpi-bio-fml.bsky.social
Assistant Prof at ISTA - Causal Learning and AI Lab
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Causal ML Research @ Spotify - Causality in ML and Medical Imaging @ Imperial College London
Formerly:
Leading AI @ Zeit Medical