102 citations · 103 across the 3 of their papers we have counts for
3 papers
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
Burcu Küçükoğlu, Walraaf Borkent, Bodo Rueckauer +3
Advances in reinforcement learning (RL) often rely on massive compute resources and remain notoriously sample inefficient. In contrast, the human brain is able to efficiently learn…
NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi
Bodo Rueckauer, Connor Bybee, Ralf Goettsche +3
Spiking Neural Networks (SNNs) are a promising paradigm for efficient event-driven processing of spatio-temporally sparse data streams. SNNs have inspired the design and can take a…
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu +1
Deep convolutional neural networks (CNNs) have shown great potential for numerous real-world machine learning applications, but performing inference in large CNNs in real-time rema…