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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Raven: High-Recall Sequence Modeling with Sparse Memory Routing

Arshia Afzal, Aviv Bick, Eric P. Xing +2

Raven is a linear-time sequence model that uses learned, input-dependent routing to update only a subset of fixed memory slots, reducing interference and improving long-range recal…

cs.CL2026

Selective Rotary Position Embedding

Sajad Movahedi, Timur Carstensen, Arshia Afzal +3

Position information is essential for language modeling. In softmax transformers, Rotary Position Embeddings (\textit{RoPE}) encode positions through \textit{fixed-angle} rotations…

cs.CV2026

Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers

Leyla Naz Candogan, Arshia Afzal, Pol Puigdemont +1

Though Vision Transformers (ViTs) have become the dominant backbone in many computer vision tasks, due to permutation equivariance, their attention mechanism lacks explicit spatial…

cs.LG2025

Linear Attention for Efficient Bidirectional Sequence Modeling

Arshia Afzal, Elias Abad Rocamora, Leyla Naz Candogan +5

Linear Transformers and State Space Models have emerged as efficient alternatives to softmax Transformers for causal sequence modeling, enabling parallel training via matrix multip…

eess.SP2025

MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection

Arshia Afzal, Volkan Cevher, Mahsa Shoaran

Enhancing the accuracy and efficiency of machine learning algorithms employed in neural interface systems is crucial for advancing next-generation intelligent therapeutic devices.…