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20222026
most citedReconstructing charged particle track segments with a quantum-enhanced support vector machine

9 citations · 10 across the 4 of their papers we have counts for

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hep-ex2026

Reconstruct everything everywhere all at once: An end-to-end model for future colliders

Max Hart, Kwok Yiu Wong, Samuel Van Stroud +3

We present the Reconstruct Everything Model (REM), an end-to-end multitask model for sparse, multimodal sensor data, demonstrated in high-energy physics. To our knowledge, REM is t…

hep-ex2026

Better Queries, Cheaper Attention: Adapting Transformers for Efficient Sparse Reconstruction

Philippa Duckett, Samuel Van Stroud, Max Hart +2

Query-based transformer decoders are effective for object reconstruction from sparse scientific sensor measurements, but their scalability to high-multiplicity data is limited by f…