1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
Vaishnavi Nagabhushana, Kartikay Agrawal, Ayon Borthakur
Although deep neural networks perform extremely well in controlled environments, they fail in real-world scenarios where data isn't available all at once, and the model must adapt…
cs.LG2025★ 1 cited
ASecond-Order SpikingSSM for Wearables
Kartikay Agrawal, Abhijeet Vikram, Vedant Sharma +2
Spiking neural networks have garnered increasing attention due to their energy efficiency, multiplication-free computation, and sparse event-based processing. In parallel, state sp…