Marco Paul E. Apolinario

Orcid: 0000-0002-1124-2545

According to our database1, Marco Paul E. Apolinario authored at least 9 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks.
CoRR, February, 2025

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks.
Trans. Mach. Learn. Res., 2025

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks.
IEEE Trans. Emerg. Top. Comput., 2024

CODE-CL: COnceptor-Based Gradient Projection for DEep Continual Learning.
CoRR, 2024

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unearthing the Potential of Spiking Neural Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2019
Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks.
CoRR, 2019


  Loading...