2 papers
cs.LG2026
Bayesian Optimality of In-Context Learning with Selective State Spaces
Di Zhang, Jiaqi Xing
We propose Bayesian optimal sequential prediction as a new principle for understanding in-context learning (ICL). Unlike interpretations framing Transformers as performing implicit…
eess.SP2024
An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification
Jiaqi Xing, Libo Chen, ZeZheng Zhang +2
Gradient descent computed by backpropagation (BP) is a widely used learning method for training artificial neural networks but has several limitations: it is computationally demand…