Kappel, David

6 publications

ICLRW 2024 A Variational Framework for Local Learning with Probabilistic Latent Representations David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney

ICMLW 2024 Single Train Multi Deploy on Topology Search Spaces Using Kshot-Hypernet Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel

ICLR 2023 Efficient Recurrent Architectures Through Activity Sparsity and Sparse Back-Propagation Through Time Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

NeurIPSW 2021 Continual Learning with Memory Cascades David Kappel, Francesco Negri, Christian Tetzlaff

ICLR 2018 Deep Rewiring: Training Very Sparse Deep Networks Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein

NeurIPS 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass