Engelken, Rainer

5 publications

ICMLW 2024 Analyzing and Improving Surrogate Gradient Training in Binary Neural Networks Using Dynamical Systems Theory Rainer Engelken, Larry Abbott

NeurIPS 2023 Gradient Flossing: Improving Gradient Descent Through Dynamic Control of Jacobians Rainer Engelken

NeurIPS 2023 SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks Rainer Engelken

NeurIPS 2022 A Time-Resolved Theory of Information Encoding in Recurrent Neural Networks Rainer Engelken, Sven Goedeke

ICLR 2022 Curriculum Learning as a Tool to Uncover Learning Principles in the Brain Daniel R. Kepple, Rainer Engelken, Kanaka Rajan