5 citations · 6 across the 2 of their papers we have counts for
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q-fin.GN2020
Earnings Prediction with Deep Learning
Lars Elend, Sebastian A. Tideman, Kerstin Lopatta +1
In the financial sector, a reliable forecast the future financial performance of a company is of great importance for investors' investment decisions. In this paper we compare long…
cs.NE2020★ 5 cited
Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
Tim Cofala, Lars Elend, Philip Mirbach +3
Computational drug design based on artificial intelligence is an emerging research area. At the time of writing this paper, the world suffers from an outbreak of the coronavirus SA…
cs.LG2020
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent
Jonas Prellberg, Oliver Kramer
In deep multi-task learning, weights of task-specific networks are shared between tasks to improve performance on each single one. Since the question, which weights to share betwee…