33 citations · 34 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
Neurally Augmented ALISTA
Freya Behrens, Jonathan Sauder, Peter Jung
It is well-established that many iterative sparse reconstruction algorithms can be unrolled to yield a learnable neural network for improved empirical performance. A prime example…
cs.LG2019★ 33 cited
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder, Bjarne Sievers
Point clouds provide a flexible and natural representation usable in countless applications such as robotics or self-driving cars. Recently, deep neural networks operating on raw p…