Machine Learning in Science

Machine Learning in Science

mackelab.bsky.social

We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍 @ml4science.bsky.social‬, Tübingen, Germany

👤 Joined on 14 November 2024

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  • 14 Kas 2024, 12:48
    🎉 Bluesky'e katıldı - İlk kullanıcı adı: @mackelab.bsky.social

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❤️ Beğendiği Gönderiler

What are the dynamics underlying sequence working memory? To found out, we develop and analyse RNNs fitted to multi-session single-unit data of macaques. See my talk Wed 12:00, at @bernsteinneuro.bsky.social. With @jakhmack.bsky.social @mackelab.bsky.social Data from Chen et al., Neuron 2024.

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We are excited to announce up to 3 PhD positions in a new project on using ML for "Extracting Probabilistic Representations in Exponential Quantum Spaces" (EXPRESSO) with @philipphennig.bsky.social , @mariokrenn.bsky.social, Igor Lesanovsky, @gmartius.bsky.social in the @ml4science.bsky.social.

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Richard Gao
11 March 2026 12:41

I'd have nothing to talk about on this episode if not for my paper co-authors in the @mackelab.bsky.social, as well as Pedro, Jan-Matthis, and Michael paving the way with SBI.

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Richard Gao
11 March 2026 12:41

Once you get past the first 5 minutes of me bumbling around clearly in need of media training, we settle into a nice groove talking about fitting mechanistic models, ML/AI for neuroscience, underconstrainedness vs. degeneracy, and its potential benefits for biology (plus some good chuckles).

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Guy Moss
01 December 2025 10:27

I’m super excited to present our new work in #Eurips2025 and #Neurips2025! We developed FNOPE: a new simulation-based inference (SBI) method which excels at inferring function-valued parameters! Paper: openreview.net/forum?id=yB5... Code: github.com/mackelab/fnope (1/9)

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