Theory: noise can shape what linear RNNs learn
In the rich regime, high noise can make a non-degenerate solution suboptimal when parameter scales are limited.
Stories per day · 30 days
3 stories, newest first · one card per story
Stories tagged #recurrent-neural-networks
From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics
Fixed-point-guided reduction turns redundant AL-RNNs into minimal dynamics, lifting Chua success from 20% to 71%.
Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling
Multi-task RNN architectures pooling sparse cultivar data improve grape cold-hardiness and budbreak prediction over single-task and scientific baselines.