Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

29 April 2024

Papers citing "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"

7 / 7 papers shown

Title
VMamba: Visual State Space Model Yue Liu Yunjie Tian Yuzhong Zhao Hongtian Yu Lingxi Xie Yaowei Wang Qixiang Ye Jianbin Jiao Yunfan Liu Mamba 152 616 0 31 Dec 2024
S7: Selective and Simplified State Space Layers for Sequence Modeling Taylan Soydan Nikola Zubić Nico Messikommer Siddhartha Mishra Davide Scaramuzza 44 4 0 04 Oct 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation Maximilian Baronig Romain Ferrand Silvester Sabathiel Robert Legenstein 48 3 0 14 Aug 2024
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Soham De Samuel L. Smith Anushan Fernando Aleksandar Botev George-Christian Muraru ... David Budden Yee Whye Teh Razvan Pascanu Nando de Freitas Çağlar Gülçehre Mamba 61 117 0 29 Feb 2024
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks Thomas Nowotny J. Turner James C. Knight 30 15 0 02 Dec 2022
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks Loic Cordone Benoit Miramond Sonia Ferrante 33 36 0 26 Apr 2021
Temporal Binary Representation for Event-Based Action Recognition Simone Undri Innocenti Federico Becattini F. Pernici A. Bimbo 52 67 0 18 Oct 2020