What it is: An advancement on BifGAN, extending the bifurcation-stabilized GAN architecture to multivariate time series — generating multiple correlated signals simultaneously while preserving both temporal dynamics and the relationships between signals.
The problem: Multivariate systems (multi-sensor manufacturing lines, multi-asset financial data) need the correlations between signals preserved, not just realistic behavior within each one. Naive extensions of univariate generators typically lose this structure entirely.
Our approach: We extended BifGAN’s bifurcation-based stability framework to jointly model cross-signal correlation structure alongside each signal’s individual temporal dynamics, rather than generating each signal independently and hoping the relationships hold.
DROP US A LINE
Connect with Schemas Axiom
Ready to take the first step towards unlocking opportunities, realizing goals, and embracing innovation? We're here and eager to connect.
To More Inquiry
+353 87 484 7266
To Send Mail