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)

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 001 (CVPR Workshops, 2023)

Unearthing the Potential of Spiking Neural Networks. - Sayeed Shafayet Chowdhury; Adarsh Kumar Kosta; Deepika Sharma; Marco Paul E. Apolinario; Kaushik Roy 001 (DATE, 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 001 (WACV, 2024)

CODE-CL: COnceptor-Based Gradient Projection for DEep Continual Learning. - Marco Paul E. Apolinario; Kaushik Roy 001 (CoRR, 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 001 (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 001 (WACV, 2025)

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. - Marco Paul E. Apolinario; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2025)

TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. - Marco Paul E. Apolinario; Kaushik Roy 001; Charlotte Frenkel (CoRR, 2025)