Machine Learning at the Limit
Alex ColagrandeIl mio Substack personale
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 14 | Founded | 6 months ago | Last Issue | 13 days ago |
| Active | |||||
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machinelearningatthelimit.substack....Latest Issues
14. Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
Just a walrus, but not the Walrus we will be discussing today.
Introduction
We continue our trip in the wide jungle of foundation models for Physics and today we will explore Walrus, a 1.3B model jointly pretrained on 19 physical scenar...
13. Multi-branch transformers with AB-UPT
AB-UPT. Image taken from [1].
Introduction
This blog post is about multi-branch transformer architectures, we will discuss in details how in Anchor-Branched (AB) -Universal Physics Transformer (UPT), they designed a model that have diff...
12. NeuralDEM: Real-time Simulation of Industrial Particulate Flows
NeuralDEM presents an end-to-end approach to replace discrete element method (DEM) routines. Image taken from [1].
Introduction
While most deep learning models for physics simulations are still just tested on academic benchmarks, we dis...
11. Universal Physics Transformer (UPT)
Introduction
In the last blog post we discussed about Aurora, the first foundation model for the atmosphere. Among the authors figures Johannes Brandstetter, that after his experience at Microsoft, came back to Austria with a faculty pos...
10. Aurora: A Foundation model of the atmosphere
Introduction
Back in 2024, it was already clear that large deep learning models trained on vast amounts of data (i.e., foundation models) exhibited impressive capabilities. By that time, models such as (Chat)GPT-4 for text, DALL·E 3 for...
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Authors
The writers behind this newsletter.
PhD student in ML4Physics at Paris Dauphine - PSL
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