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cs.LG2026
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman
Stock markets exhibit regime-dependent behavior where prediction models optimized for stable conditions often fail during volatile periods. Existing approaches typically treat all…
cs.LG2026
Manifold-Matching Autoencoders
Laurent Cheret, Vincent Létourneau, Isar Nejadgholi +3
We study a simple unsupervised regularization scheme for autoencoders called Manifold-Matching (MMAE): we align the pairwise distances in the latent space to those of the input dat…