Rémy Tuyéras @RTuyeras - Twitter Profile

6 months ago

Check out my latest article: Software developers aren't going away. The old interface to code is. https://t.co/uD6erRxnaE via @LinkedIn

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Rémy Tuyéras @RTuyeras

over 2 years ago

@jeremyjkun @mattecapu As for the Yoneda abstraction itself, the noise e used in LWE comes from the element f' in Definition 3.1. Informally, imagine that f' is something like f+e. The other noisy component is given by the set R indexing the encryption functions E

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Rémy Tuyéras @RTuyeras

over 2 years ago

@jeremyjkun @mattecapu The general formula for the cyphertext space is given in Definition 4.15 and takes the from r(m)+cs+e. As mentioned at the end, the system relies on RLWE.

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Rémy Tuyéras @RTuyeras

almost 5 years ago

Seems like work from Jean-Claude Belfiore and Daniel Bennequin is already going in this direction for neural networks: https://t.co/NSsvGM1sxF

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Who to follow

Charlie Harris

@charlieharris01

Member of the Technical Staff @boltz_bio - Previously Technical Lead in the UK Government Sovereign AI Unit and AI for Science PhD at Cambridge

Sergei Belousov

@bes_dev

I’ve been obsessed with computer vision, machine learning, and all things AI for over a decade — and I still genuinely love it.

Na Sun

@nasun818

Whitehead AI Fellow and Principal Investigator at the Whitehead Institute

Rémy Tuyéras @RTuyeras

almost 5 years ago

Dual numbers are common to both #AutomaticDifferentiation and #SyntheticDifferentialGeometry. With the former being used in #DeepLearning and the latter being developed in toposes, should we expect a #ToposTheory of deep learning any time soon?

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RTuyeras retweeted

Rémy Tuyéras @RTuyeras

almost 5 years ago

@risi1979 This is the direction taken by our recent preprint on self-organizing learning systems: https://t.co/O4n4QF2o1v We use #operads and the concept of non-equilibrium #entropy to extend #GradientDescent to the reshaping of the architecture itself. #MachineLearning #BrainPlasticity

RTuyeras's tweet photo. @risi1979 This is the direction taken by our recent preprint on self-organizing learning systems:
https://t.co/O4n4QF2o1v
We use #operads and the concept of non-equilibrium #entropy to extend #GradientDescent to the reshaping of the architecture itself.
#MachineLearning #BrainPlasticity https://t.co/gwgnw2Yeb3

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Rémy Tuyéras @RTuyeras

almost 5 years ago

@risi1979 This is the direction taken by our recent preprint on self-organizing learning systems: https://t.co/O4n4QF2o1v We use #operads and the concept of non-equilibrium #entropy to extend #GradientDescent to the reshaping of the architecture itself. #MachineLearning #BrainPlasticity