Jaron Maene (@jjcmoon) header
Jaron Maene (@jjcmoon) profile picture

Jaron Maene

@jjcmoon

PhD Machine Learning @KU_Leuven | #neurosymbolic learning & #probabilistic reasoning

maene.dev
Joined January 2022
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Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)Photo by Jaron Maene (@jjcmoon)
An internal model at OpenAI has produced a claimed refutation of ETH! Russell Impagliazzo, Mohan Paturi, and I have been asked to help organize an open and independent examination of this claim. 1/4
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I let gpt-6 astra review 250 random ICLR submissions. It didn't recommend clear accept for a single paper.
Image from Jaron Maene (@jjcmoon)
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Reinforcement learning from reviewer feedback
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“we sandboxed the agent” meanwhile the agent:
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TIL I'm a professional cyclist...
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Pieter Delobelle (@pieterdelobelle) profile picturePieter Delobelle
@pieterdelobelleJun 18
Not bad but a bit outdated indeed.
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Lennert De Smet (@LennertDS_) profile picture
Lennert De Smet@LennertDS_Jun 8
Just a little under 5 days left to submit your work on #tractable #probabilistic #models to TPM [email protected] (June 12, AoE)! If you have ongoing projects or recently accepted papers that are #tractable, #causal or #neurosymbolic, then check the CfP at tractable-probabilistic-mode…
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Daniel Israel (@danielmisrael) profile picture
Daniel Israel
@danielmisraelMay 9
When you prompt an LLM for code, you get one deterministic program. However, the LLM actually defines a distribution over many programs, and existing methods discard it‼️ PPoT uses this distribution to extract free performance and efficiency gains. 🧵👇
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Amazing Maps (@amazingmap) profile picture
Amazing Maps
@amazingmapApr 18
How far you can travel by train in 3 hours from Brussels
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the next-gen EUV machine from ASML got delivered yesterday at @imec_int in Leuven. as a Belgian, it's amazing to see such unique machines being deployed in my alma mater's city
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Arnaud Gaspart (@arnaudgaspart) profile pictureArnaud Gaspart@arnaudgaspartMar 19
Belgian chip research lab ‌imec has secured an ASML $400-million High NA EUV lithography machine. imec, which helped ASML develop EUV technology, is giving companies and researchers shared access to this cutting-edge chipmaking tool. #EuStrategicAutonomy reuters.com/business/belgium…
Belgium's imec secures rare ASML High NA EUV tool to drive next-generation chips

Belgium's imec secures rare ASML High NA EUV tool to drive next-generation chips

Belgian chip research lab ‌imec said on Wednesday it has secured an ASML $400-million High NA EUV lithography machine--one of fewer than a dozen worldwide--cementing its role in preparing next-gene...

reuters.com
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Only 10 days left to submit your work to ProbML (formerly AABI)! 👉 probml.cc/call/
Call for Papers

Call for Papers

probml.cc
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Idan Attias (@IdanAttias) profile picture
Idan Attias@IdanAttiasMar 11
Too many papers fail to provide a reasonable related literature comparison. I'm not even talking about a good comparison...it’s simply part of doing research to place your result within the existing literature.
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Lennert De Smet (@LennertDS_) profile picture
Lennert De Smet@LennertDS_Feb 24
If you care about enforcing constraints over time without breaking your computational resources, then read our new blog post over at @aihuborg! It focuses on showing how our neurosymbolic Markov models beat the SOTA in out-of-distribution generalisation and so much more.
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AIhub (@aihuborg) profile pictureAIhub@aihuborgFeb 19
Relational neurosymbolic Markov models ift.tt/bJTtBEY
Relational neurosymbolic Markov models - ΑΙhub

Relational neurosymbolic Markov models - ΑΙhub

aihub.org
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all the LLM bros are obsessed with counting model weights, but me? I do weighted model counting 😎
xuan (ɕɥɛn / sh-yen) (@xuanalogue) profile picturexuan (ɕɥɛn / sh-yen)@xuanalogue6 Dec 2025
Replying to @xuanalogue
Especially glad I started the PhD after the Russell-Domingos-Tenenbaum-etc synthesis of logic and symbolic representations with probability theory. We actually can have the best of both worlds!
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happening right now, #AiResearchAgents #NeurIPS, @AIatMeta @EdanToledo @MartinJosifoski @AlexAudR
Image from Rishi Hazra (@RishiHazra95)
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1/5 Tomorrow I’ll talk about the 𝐩𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐬𝐭𝐢𝐜 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐬𝐞𝐦𝐚𝐧𝐭𝐢𝐜𝐬 𝐨𝐟 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐯𝐢𝐧𝐠 at #NeurIPS San Diego (poster #614 11am). 📃 openreview.net/pdf?id=rEUbDh… 📺 youtube.com/watch?v=sOTXBsmG…
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4/5 We show how to factorize this equivalence distribution using latent categorical variables—a kind of embeddings. Plus we develop exact (via singularization + magic sets) and approximate (Monte Carlo) inference methods.
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5/5 Joint work with Efthymia Tsamoura. Paper: openreview.net/pdf?id=rEUbDh…
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Basis (@BasisOrg) profile picture
Basis
@BasisOrg31 Oct 2025
New paper from Basis' Project MARA team and collabs. The ability to learn and use world models is a key aspect of human intelligence, but evaluating this ability remains elusive. In this work we propose WorldTest, a representation-agnostic, behavior-based agent eval framework.
Image from Basis (@BasisOrg)
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