Minkowski Attractor Networks: Closed-Form Hyperbolic Flows for Visual Representations

arXiv:2609.37817 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/ParaMind2025/Ananke-CV

Terminology

Accuracy — 9× in this paper · explained in 1 episode
Minkowski Attractor Networks — 6× in this paper
Scaffolding — 5× in this paper · explained in 3 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Embeddings — 4× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 3× in this paper
Core — 3× in this paper · explained in 2 episodes
Decoupling — 3× in this paper · explained in 2 episodes
Parameter Efficiency — 3× in this paper · explained in 3 episodes
Alignment — 2× in this paper · explained in 1 episode
Contractive Torus Attractor Networks — 2× in this paper
Feature Extraction — 2× in this paper · explained in 2 episodes
In International Conference on Learning Representations — 2× in this paper
Latent Space — 2× in this paper · explained in 7 episodes
Normalizing Flow — 2× in this paper · explained in 3 episodes
Normalizing Flows — 2× in this paper · explained in 4 episodes
Robustness — 2× in this paper · explained in 5 episodes
Trace — 2× in this paper · explained in 2 episodes
Ablation — 1× in this paper · explained in 1 episode
AdamW Optimizer — 1× in this paper · explained in 1 episode
Generalization — 1× in this paper · explained in 13 episodes
Latent Representation — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Riemannian optimization — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes

Minkowski Attractor Networks: Closed-Form Hyperbolic Flows for Visual Representations

Terminology

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