ETH Zürich
Simon Schug
Institut für Theoretische Informatik
CAB J 21.5
Universitätstrasse 6
8092 Zürich
A contrastive rule for meta-learning
Nicolas Zucchet*, Simon Schug*, Johannes von Oswald*, Dominic Zhao, João Sacramento
NeurIPS 2022
Random initialisations performing above chance and how to find them
Frederik Benzing, Simon Schug, Robert Meier, Johannes von Oswald, Yassir Akram, Nicolas Zucchet, Laurence Aitchison, Angelika Steger
OPT2022 Workshop at NeurIPS 2022
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma
Simon Schug*, Frederik Benzing*, Angelika Steger
eLife 10: e69884
Learning where to learn: Gradient sparsity in meta and continual learning
Johannes von Oswald*, Dominic Zhao*, Seijin Kobayashi, Simon Schug, Massimo Caccia, Nicolas Zucchet, João Sacramento
NeurIPS 2021
Task-Agnostic Continual Learning via Stochastic Synapses
Simon Schug*, Frederik Benzing*, Angelika Steger
Workshop on Continual Learning at ICML 2020