Marco Paul E. Apolinario

According to our database, Marco Paul E. Apolinario authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks.

Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy

IEEE Trans. Emerg. Top. Comput., 2024

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization.

Marco Paul E. Apolinario, Arani Roy, Kaushik Roy

CoRR, 2024

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities.

Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unearthing the Potential of Spiking Neural Networks.

Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks.

Marco Paul E. Apolinario, Kaushik Roy

CoRR, 2023

Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation.

Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy

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.

Marco Paul E. Apolinario, Samuel Huaman Bustamante, Giorgio Morales, Joel Telles, Daniel Díaz

CoRR, 2019