Machine Learning Lab

914 posts

Machine Learning Lab

Machine Learning Lab

@MaleLabTs

Machine Learning Lab is directed by prof @sbarbonjr, hosted at @DiaUnits, @UniTrieste, and hosts PostDocs, PhD students and MS students.

Trieste, Italy Katılım Ocak 2012
61 Takip Edilen17.1K Takipçiler
Machine Learning Lab retweetledi
Ryan Peterman
Ryan Peterman@ryanlpeterman·
Leslie Lamport (Turing Award Winner, Inventor of Paxos & Latex): "I would meet with Dijkstra once a week. When he thought of something, had some idea, he would write it down and send it out to people. He sent the first concurrent garbage collection algorithm. I looked at it, and I realized that I could simplify the algorithm. That seemed to me like a very simple idea, a very obvious idea. And I sent it to him, and then I got the next version of the paper. I discovered he had made me an author, and that had actually impressed Dijkstra. The reason for my success, the reason I wound up getting a Turing Award, was not that I was particularly that smart, but that I had this gift of abstraction, and Dijkstra was smart enough to realize that."
Ryan Peterman@ryanlpeterman

Leslie Lamport won a Turing award for his fundamental contributions to distributed systems. For instance, he invented the Paxos consensus algorithm that is a critical component of many distributed systems today. I interviewed him about his work and career. We discussed: • Why he never considered himself smart • The stories behind Paxos and Byzantine Generals Problem • Experiences working with Dijkstra • Paxos vs Raft Algorithms • How to improve your thinking Where to watch: • YouTube: youtu.be/U719vQz-WFs • Spotify: open.spotify.com/episode/7JHYsz… • Apple Podcasts: podcasts.apple.com/us/podcast/the… • Transcript: developing.dev/p/turing-award…

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Machine Learning Lab retweetledi
Sylvio Barbon Junior
Sylvio Barbon Junior@sbarbonjr·
RF importance tells us the main ingredients; DPGExplainer (via LRC) tells us the recipe. In this new post (DPGExplainer Saga — Episode 2: Wine), I compare RF importance with DPG predicate influence (LRC) on the classic Wine dataset. Here: lnkd.in/dxDizDHC @MaleLabTs
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Sylvio Barbon Junior
Sylvio Barbon Junior@sbarbonjr·
Gostaria de compartilhar com vocês o meu novo livro!!! Inteligência Artificial em Ciência Animal: Aplicações em Pesquisa e na Indústria! @MaleLabTs
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Machine Learning Lab retweetledi
Andrew Ng
Andrew Ng@AndrewYNg·
NeurIPS received 21,575 paper submissions this year. Our Agentic Reviewer, released last week, just surpassed this in number of papers submitted and reviewed. It's clear agentic paper reviewing is here to stay and will be impactful!
Andrew Ng@AndrewYNg

Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was painfully slow. We wanted to see if an agentic workflow can help researchers iterate faster. When we trained the system on ICLR 2025 reviews and measured Spearman correlation (higher is better) on the test set: - Correlation between two human reviewers: 0.41 - Correlation between AI and a human reviewer: 0.42 This suggests agentic reviewing is approaching human-level performance. The agent grounds its feedback by searching arXiv, so it works best in fields like AI where research is freely published there. It’s an experimental tool, but I hope it helps you with your research. Check it out here: paperreview.ai

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Machine Learning Lab retweetledi
Sylvio Barbon Junior
Sylvio Barbon Junior@sbarbonjr·
Call for Papers – 4th World Conference on Explainable Artificial Intelligence (XAI 2026) Be part of the global conversation shaping the future of transparent and trustworthy AI! Submission: lnkd.in/dn469BxU Deadline: February 1, 2026 @MaleLabTs
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Sylvio Barbon Junior
Sylvio Barbon Junior@sbarbonjr·
O futuro da Inteligência Artificial é explicável. E você, vai ficar de fora? youtube.com/watch?v=aO3Qh_… Vem com a gente para a 4th World Conference on Explainable Artificial Intelligence (xAI 2026), no Brasil!!! @MaleLabTs
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Machine Learning Lab retweetledi
Bogdan Filipič
Bogdan Filipič@BogdanFilipic·
The 2025 @EvostarConf in Trieste summarized: well-prepared conference, constructive atmosphere and hospitable hosts. Thanks to both participants and organizers.
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Sylvio Barbon Junior
Sylvio Barbon Junior@sbarbonjr·
I'd like to invite everyone attending #IJCNN25 to check out the presentation of #TPOT-Clustering! Matheus Camilo da Silva (@MaleLabTs) will be presenting this new tool, developed as part of his PhD project. Yes, you can use AutoML for clustering!
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Sylvio Barbon Junior
Sylvio Barbon Junior@sbarbonjr·
AI is making food safer—spotting contamination, checking freshness & more. But can we really trust these "black box" models? Our new survey shows how #XAI can open up AI in Food Engineering, making decisions clearer for everyone! arxiv.org/pdf/2504.10527 @MaleLabTs
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Mathieu
Mathieu@miniapeur·
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