2 papers
eess.AS2026
The Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval
Jaime Garcia-Martinez, David Diaz-Guerra, John Anderson +5
This paper introduces The Spheres dataset, multitrack orchestral recordings designed to advance machine learning research in music source separation and related MIR tasks within th…
physics.flu-dyn2026
Exploiting repeated matrix block structures for more efficient CFD on modern supercomputers
Josep Plana-Riu, F. Xavier Trias, Ãdel Alsalti-Baldellou +3
Computational Fluid Dynamics (CFD) simulations are often constrained by the memory-bound nature of sparse matrix-vector operations, which eventually limits performance on modern hi…