3 papers
cs.NE2026
Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition
Tauseef Ahmed, Tao Sun, Jeronimo Castrillon +2
Deep learning has greatly advanced automatic speech recognition (ASR), enabling widespread deployment on edge devices such as smartphones and smart home systems. However, the compu…
cs.CV2026
Reliable Brain Tumor Segmentation Based on Spiking Neural Networks with Efficient Training
Aurora Pia Ghiardelli, Guangzhi Tang, Tao Sun
We propose a reliable and energy-efficient framework for 3D brain tumor segmentation using spiking neural networks (SNNs). A multi-view ensemble of sagittal, coronal, and axial SNN…
cs.LG2024
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression
Tao Sun, Sander Bohté
Uncertainty estimation is a standard tool to quantify the reliability of modern deep learning models, and crucial for many real-world applications. However, efficient uncertainty e…