🏢 Skoltech

Researchers introduce a novel approach to mutual information (MI) estimation using normalizing flows, providing accurate estimates even in high dimensions.

Two-parameter models can surprisingly learn high-dimensional targets with near-perfect accuracy using gradient flow, challenging the need for high-dimensional models.

Accelerate Schrödinger Bridge Matching with Discrete-time IMF using only a few steps, achieving comparable results to existing hundred-step methods via D-GAN implementation.