Linear Independent Component Analysis via Optimal Transport

arXiv:2607.14081 · cs.LG, stat.ML · Submitted 2026-07-15 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-07-15

Updated: 2026-10-07

Code: https://github.com/ashutoshjha3103/ot_in_

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Non-Gaussianity — 23× in this paper · explained in 3 episodes
• Optimal Transport — 14× in this paper · explained in 5 episodes
• Wasserstein Distance — 12× in this paper · explained in 6 episodes
• Information Share — 5× in this paper
• Linear Independent Component Analysis — 5× in this paper
• Benchmark — 4× in this paper · explained in 2 episodes
• Parameterization — 3× in this paper · explained in 2 episodes
• Central Limit Theorem — 2× in this paper
• Quantization — 2× in this paper · explained in 15 episodes
• Score Function — 2× in this paper · explained in 4 episodes
• Causal Discovery — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Editor — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Latent Variables — 1× in this paper · explained in 2 episodes
• Mutual Information — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Optimal Transport (OT) — 1× in this paper · explained in 9 episodes
• Preconditioning — 1× in this paper · explained in 2 episodes
• Riemannian Optimization — 1× in this paper · explained in 3 episodes
• Sample Complexity — 1× in this paper · explained in 20 episodes
• Sparsity — 1× in this paper · explained in 5 episodes

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