Marco Paul E. Apolinario

16 papers A 3B 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning. CoRR Arani Roy, Marco Paul E. Apolinario, Shristi Das Biswas, Kaushik Roy
2025	J	`jnl`	LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning. CoRR Marco Paul E. Apolinario, Kaushik Roy
2025	A	`conf`	LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. WACV Marco Paul E. Apolinario, Arani Roy, Kaushik Roy
2025	J	`jnl`	S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. Trans. Mach. Learn. Res. Marco Paul E. Apolinario, Kaushik Roy
2025	B	`conf`	TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. IJCNN Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel
2025	J	`jnl`	TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. CoRR Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel
2024	J	`jnl`	CODE-CL: COnceptor-Based Gradient Projection for DEep Continual Learning. CoRR Marco Paul E. Apolinario, Kaushik Roy
2024	A	`conf`	HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. WACV Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy
2024	J	`jnl`	Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
2024	J	`jnl`	LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. CoRR Marco Paul E. Apolinario, Arani Roy, Kaushik Roy
2024	A	`conf`	Unearthing the Potential of Spiking Neural Networks. DATE Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy
2023	—	`conf`	Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation. CVPR Workshops Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy
2023	J	`jnl`	S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. CoRR Marco Paul E. Apolinario, Kaushik Roy
2022	J	`jnl`	HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. CoRR Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy
2022	J	`jnl`	Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks. CoRR Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
2019	J	`jnl`	Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks. CoRR Marco Paul E. Apolinario, Samuel Huaman Bustamante, Giorgio Morales, Joel Telles, Daniel Díaz