GeONet: a neural operator for learning the Wasserstein geodesic. - Andrew Gracyk; Xiaohui Chen (UAI, 2024)

Ricci flow-guided autoencoders in learning time-dependent dynamics. - Andrew Gracyk (CoRR, 2024)

Variational autoencoders with latent high-dimensional steady geometric flows for dynamics. - Andrew Gracyk (CoRR, 2024)

Observability conditions for neural state-space models with eigenvalues and their roots of unity. - Andrew Gracyk (CoRR, 2025)

Geometric flow regularization in latent spaces for smooth dynamics with the efficient variations of curvature. - Andrew Gracyk (CoRR, 2025)

The calculus of variations of the Transformer on the hyperspherical tangent bundle. - Andrew Gracyk (CoRR, 2025)