gradient optimization 1independent component analysis 1optimal transport 1signal processing 1Wasserstein distance 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Linear Independent Component Analysis via Optimal Transport
Ashutosh Jha, Michel Besserve, Simon Buchholz
The paper introduces OT-ICA, an algorithm that uses the squared Wasserstein distance to a Gaussian as a measure of non‑Gaussianity for linear independent component analysis, and sh…
stat.ML2025
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
Armin KekiÄ, Jan Schneider, Dieter Büchler +2
Why do reinforcement learning (RL) policies fail or succeed? This is a challenging question due to the complex, high-dimensional nature of agent-environment interactions. In this w…