

Conference on Parsimony and Learning (CPAL)
279 posts

@CPALconf
CPAL is a new annual research conference focused on the parsimonious, low dimensional structures that prevail in ML, signal processing, optimization, and beyond






Good week ! Our paper with A. Joundi and J.-F. Aujol "From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent" hal.science/hal-05401157v1 has been accepted to conf. on Parsimony and Learning @CPALconf











Submitting to ICLR: - You get some AI-generated reviews - You review AI-generated papers - You write a rebuttal that gets ignored - You get doxxed Submitting to arXiv: - You get to post on x dot com - You might get posted by others - You get to argue with idiots in comments

📣 Call for Papers: Conference on Parsimony and Learning, 2026 Join @ELLISInst_Tue & @MPI_IS to explore and share your work on parsimony in ML, signal processing, optimisation & beyond. 🗓 March 23-26, 2026 📍 Tübingen 🇩🇪 🔗 Details & submission: cpal.cc



Calling all parsimony and learning researchers 🚨🚨 The 3rd annual CPAL will be held in Tübingen Germany March 23–26, 2026! Check out this year's website for all the details cpal.cc

Getting AI-written reviews for your AI paper? 😅 Try CPAL 2026 — a focused conference where humans actually read your work! Every paper gets careful attention from area chairs 🧑, not bots 🤖. Join us in Tübingen → cpal.cc #CPAL2026 #AI

Excited to share our latest work on untangling language models by training them with extremely sparse weights! We can isolate tiny circuits inside the model responsible for various simple behaviors and understand them unprecedentedly well. openai.com/index/understa…