Work

Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10888589

Authors: Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel

Institutions: Case Western Reserve University, University of Southern California

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408355125

FWCI: 4.585

Cites: 33

Cited by: 2

Related to: 10