579 citations · 2.2k across the 13 of their papers we have counts for
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cs.LG2020★ 4 cited
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
Jonas Rauber, Matthias Bethge, Wieland Brendel
EagerPy is a Python framework that lets you write code that automatically works natively with PyTorch, TensorFlow, JAX, and NumPy. Library developers no longer need to choose betwe…
cs.LG2020★ 5 cited
Fast Differentiable Clipping-Aware Normalization and Rescaling
Jonas Rauber, Matthias Bethge
Rescaling a vector to a desired length is a common operation in many areas such as data science and machine learning. When the rescaled perturbation $η\vec…