| 2026 | WACV | Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning. | Arani Roy, Marco Paul E. Apolinario, Shristi Das Biswas, Kaushik Roy |
| 2025 | ICCV | CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning. | Marco Paul E. Apolinario, Sakshi Choudhary, Kaushik Roy |
| 2025 | IJCNN | TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. | Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel |
| 2025 | WACV | LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. | Marco Paul E. Apolinario, Arani Roy, Kaushik Roy |
| 2024 | DATE | Unearthing the Potential of Spiking Neural Networks. | Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy |
| 2024 | WACV | 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 |
| 2023 | CVPR | 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 |