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stat.ML2026
Diagonalized Attention for Individualized Regression: Latent-Row Localization and Prediction
Borui Peng, Liwei Lin, Feifei Wang +1
Modern text and image representations are often matrix-valued, with rows corresponding to tokens, patches, or other local feature vectors. Predictive information is often sparse bu…
stat.ML2026
Semi-Supervised Generative Learning via Latent Space Distribution Matching
Kwong Yu Chong, Long Feng
We introduce Latent Space Distribution Matching (LSDM), a novel framework for semi-supervised generative modeling of conditional distributions. LSDM operates in two stages: (i) lea…