alexshtf

4 ms·

1.
The Spectral Neuron(arxiv.org)
3 points by alexshtf 2mo ago|1 comments
2.
by alexshtf 2mo ago
code: https://github.com/alexshtf/spectral_neuron_paper What drove me to write this was a thought in my head long time after I left one of the online ad science teams in the industry - can we build models that we can &
3.
by alexshtf 7mo ago
I'm the author. This is for readers interested in spectral methods, structured linear algebra, or interpretable tabular models. The post looks at restricting learned symmetric matrix pencils, which serve as a nice intermediate between
4.
by alexshtf 10mo ago
Good
5.
A tiny spectral PMF estimator for large discrete supports(arxiv.org)
2 points by alexshtf 1y ago|0 comments
6.
Show HN: TorchCurves – Differentiable parametric curves for PyTorch(github.com)
1 points by alexshtf 1y ago|0 comments
7.
Differentiable Curves for PyTorch(github.com)
1 points by alexshtf 1y ago|0 comments
8.
by alexshtf 1y ago
Having developed in C++ a large portion of my career up until a 5+ years ago, it's nice to see C++ went a long way. However one thing bothers me - error messages. Have the compilers evolved? Eventually, all this stuff translates to tem
9.
Paying attention to feature distribution alignment(alexshtf.github.io)
10 points by alexshtf 1y ago|0 comments
10.
by alexshtf 1y ago
I am the author of that post series... I see it did some noise :) I partially agree with your claims. It indeed is an issue if you take high powers of numbers outside of the [-1, 1] interval, but I completely disagree with your assertion th
11.
Blog on Optimization for ML
2 points by alexshtf 6y ago|1 comments