luca
@fahrenheit
ML researcher, interested in math and probabilistic machine reasoning.
luca
The Fisher information matrix is simply the Hessian of KL divergence at the point where two distributions are equal.
Metacademy - Differential geometry for machine learning
Differential geometry is all about constructing things which are independent of the representation
Metacademy - Differential geometry for machine learning
The glow in the centre of the k-space image represents the lower spatial frequencies, which contains the bulk of the image contrast information. As we move away from this central glow, the finer details and edges, representing the higher spatial frequencies
Nadav Levi • Visualising MRI data in Python
Dread accompanies me through life but it is not without consolation | Aeon Essays
aeon.coEnsō
write.sonnet.io
In the work with LLMs lies a deeper question, that I have not been able to answer for myself properly so far. I can use an LLM to extract information, summarise, distill, but it feels like I am fooling myself. The work that I have done is not done by me. I am have not made any connections in my brain. It feels like we should not use them for intell
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