3 papers
cs.CL2026
BCMT: Blockwise Causal Memory Transformer
Rachid Arezki
Transformer architectures rely on dense self-attention to model long-range dependencies, but this mechanism exhibits quadratic complexity with respect to sequence length. We introd…
physics.med-ph2026
Feasibility of a General-Purpose Deep Learning Dose Engine: A Multi-Site Validation Study
Yao Zhao, Ka Ho Tam, Raphael Douglas +6
Conventional radiotherapy dose calculation algorithms are often computationally slow and non-differentiable, creating bottlenecks for online adaptive radiotherapy (ART) and limitin…
cs.CV2024
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models
Harshit, Tolga Tasdizen
The recent developments in deep learning led to the integration of natural language processing (NLP) with computer vision, resulting in powerful integrated Vision and Language Mode…