iwill

5 ms·

1. 1.▲
   Wave physics as an analog recurrent neural network(advances.sciencemag.org)

   2 points by iwill 7y ago|0 comments
2. 2.▲
   by iwill 7y ago

   Getting stuck in their review / re-categorization process sucks. It’s not transparent, can take awhile, and often the outcome (their choice of category) doesn’t make sense. My experiences were primarily in optics and physics, with a bi
3. 3.▲
   by iwill 7y ago

   JAX looks really interesting but it seems that it’s not as straightforward to just JIT things. Generally I think you need to use their flow control mechanisms rather than standard Python ones. There are of course technical reasons for doing
4. 4.▲
   by iwill 7y ago

   I agree with this. I believe the choice of having them as macros rather than functions was made for performance reasons? However, I think they should be in std lib... having to do 'using Printf' everywhere is silly
5. 5.▲
   by iwill 7y ago

   I think this post is pretty outdated... Julia has come a very long way since v0.4.
6. 6.▲
   Reprogrammable Electro-Optic Nonlinear Activations for Optical Neural Networks(arxiv.org)

   4 points by iwill 7y ago|0 comments
7. 7.▲
   Building analog recurrent neural networks with waves(arxiv.org)

   4 points by iwill 7y ago|0 comments
8. 8.▲
   by iwill 7y ago

   This package is the engine for the results of a paper that we just posted to arxiv ( https://arxiv.org/abs/1904.12831 ).
9. 9.▲
   Wavetorch: Solving and backproping through the wave equation(github.com)

   3 points by iwill 7y ago|1 comments