divergences
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Deep Learning 11

  • What are Large Language Models? What are they not?
  • Group-equivariant neural networks with escnn
  • Deep Learning and Scientific Computing with R torch: the book
  • Implementing rotation equivariance: Group-equivariant CNN from scratch
all 11 posts →

Geometric Deep Learning 5

  • Group-equivariant neural networks with escnn
  • Implementing rotation equivariance: Group-equivariant CNN from scratch
  • Upside down, a cat's still a cat: Evolving image recognition with Geometric Deep Learning
  • Getting started with deep learning on graphs
all 5 posts →

AI Societal Impact 4

  • What are Large Language Models? What are they not?
  • Starting to think about AI Fairness
  • AI ethics is not an optimization problem
  • The hard problem of privacy

Books 3

  • Free will? The “Sapolsky-Mitchell debate”
  • Deep Learning and Scientific Computing with R torch: the book
  • A book I'd say everyone should read if such were a kind of thing I'd say

Philosophy (sort of) 3

  • Free will? The “Sapolsky-Mitchell debate”
  • What are Large Language Models? What are they not?
  • A book I'd say everyone should read if such were a kind of thing I'd say

Climate & Weather 2

  • AO, NAO, ENSO: A wavelet analysis example
  • Forecasting El Niño-Southern Oscillation (ENSO)

Tags

  • AO1
  • bias2
  • CNN2
  • consciousness1
  • convLSTM2
  • dissecting the hype1
  • ENSO2
  • equivariance1
  • escnn1
  • ethics1
  • fairness2
  • free will1
  • graphs1
  • group equivariance3
  • invariance1
  • LLMs1
  • metrics1
  • NAO1
  • neuroscience2
  • privacy1
  • Python1
  • PyTorch1
  • PyTorch Geometric1
  • R5
  • reticulate1
  • social credit1
  • spatial forecasting2
  • surveillance1
  • symmetry2
  • time series3
  • torch5
  • transformers1
  • wavelets1
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A blog by Sigrid Keydana. Opinions are exclusively mine.

 
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