Parsa Hejabi

Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory

Recurrent sequence models must decide how strongly to overwrite their memory at each token. Read as Bayesian filtering, this write is the gain of a Kalman update, set by uncertainty from two sources that pull it in opposite directions: volatility, how quickly the underlying associations change, and stochasticity, how n...