differentiable

Differentiable and Accelerated Spherical Harmonic Transforms

In JAX and PyTorchMany areas of science and engineering encounter data defined on the sphere. Modelling and evaluation of such data often requires the spherical counterpart to the Fourier transform — the spherical harmonic...

XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 1 XGBoost is extremely efficient, but… Constructing Decision Trees just isn’t a differentiable...

If you've gotten read my previous articles on Gradient Boosting and Decision Trees, you're aware that Gradient Boosting, combined with Ensembles of Decision Trees, has achieved excellent performance in classification or regression tasks involving...

XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 1 XGBoost is very efficient, but… Constructing Decision Trees shouldn’t be a differentiable...

If you may have read my previous articles on Gradient Boosting and Decision Trees, you might be aware that Gradient Boosting, combined with Ensembles of Decision Trees, has achieved excellent performance in classification or...

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