8 citations · 9 across the 3 of their papers we have counts for
3 papers
Residual Neural Networks for the Prediction of Planetary Collision Outcomes
Philip M. Winter, Christoph Burger, Sebastian Lehner +3
Fast and accurate treatment of collisions in the context of modern N-body planet formation simulations remains a challenging task due to inherently complex collision processes. We…
Few-Shot Learning by Dimensionality Reduction in Gradient Space
Martin Gauch, Maximilian Beck, Thomas Adler +10
We introduce SubGD, a novel few-shot learning method which is based on the recent finding that stochastic gradient descent updates tend to live in a low-dimensional parameter subsp…
Supervised machine learning classification for short straddles on the S&P500
Alexander Brunhuemer, Lukas Larcher, Philipp Seidl +3
In this working paper we present our current progress in the training of machine learning models to execute short option strategies on the S&P500. As a first step, this paper is br…