We analyze signal propagation in ReLU networks with anti-correlated weights and demonstrate that it has an order-to-chaos phase transition, unlike the uncorrelated case. Furthermore, we demonstrate that ReLU networks initialized at this criticality train faster.
We study extreme events in time series with long-range correlations. We find that it is possible to infer the long memory of time series just by extreme events.
We develop a de-novo method for predicting Short Linear Motifs (SLiMs) in protein sequences. We use Finding SeMo to find motifs across all species and use them to predict functions of uncharacterized protein sequences.
We developed an automated method to detect solar radio bursts from the dynamical spectrographs, and analyzed the origin of the detected solar radio bursts.