Nano-oscillator-based classification with a machine learning-compatible architecture · HackerPapers discussions

Nano-oscillator-based classification with a machine learning-compatible architecture — mentioned by damip

Tue, 26 Mar 2019 00:13:02 GMT

This work focuses on steady-state computing, but it could also be interesting to use transient physical behaviors to process time-varying signals Maybe by modelling dynamical systems as "neural nets" as in: https://arxiv.org/abs/1806.07366 and https://arxiv.org/abs/1808.08412 Or by using complicated physical systems we don't even understand to build Echo State Networks: http://www.scholarpedia.org/article/Echo_state_network

Paper and discussion history. A mention is not an endorsement.

Nano-oscillator-based classification with a machine learning-compatible architecture — mentioned by damip

Wed, 13 Feb 2019 01:27:03 GMT

Differentiable does not mean easy to optimize. One could imagine implementing sha-256 using differentiable operators, and yet the system as a whole would not be optimizable at all. It would be interesting to have compilers that optimize the "optimizability" of differentiable programs tho... Also, here are two interesting examples of differentiation through physical systems for classification: https://arxiv.org/pdf/1808.08412.pdf https://innovate.ee.ucla.edu/wp-content/uploads/2018/07/2018...

Paper and discussion history. A mention is not an endorsement.

Nano-oscillator-based classification with a machine learning-compatible architecture — mentioned by damip

Thu, 10 Jan 2019 19:18:22 GMT

I used a naive forward-differentiate-through-euler-integration scheme to optimize networks of coupled oscillators to perform classification ( https://arxiv.org/pdf/1808.08412.pdf ), but your approach seems to be miles away in terms of performance. Congratulations to the authors, this is amazing work, I see great potential applications in physics-based computing with nanotechnology, and I may actually use it myself in this context !

Paper and discussion history. A mention is not an endorsement.