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cs.LG2026
Fractional State Space Transition for Long Sequence Modeling
Ivan Kobyzev, Abbas Ghaddar, Ali Nasiri-Sarvi +2
State Space Models (SSMs) compress sequence history into a bounded recurrent state, making the resulting memory law a central architectural choice for long-context performance. Mos…
cs.CV2026
MonoLoss: A Training Objective for Interpretable Monosemantic Representations
Ali Nasiri-Sarvi, Anh Tien Nguyen, Hassan Rivaz +2
Sparse autoencoders (SAEs) decompose polysemantic neural representations, where neurons respond to multiple unrelated concepts, into monosemantic features that capture single, inte…