Abstract: Nonnegative matrix factorization (NMF) is an emerging tool for meaningful low-rank matrix representation. In NMF, explicit constraints are usually required, such that NMF generates desired ...
Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...
Abstract: Location-based social networks (LBSN) is a new type of heterogeneous information network (HIN). The check-in data usually has the characteristics of a large amount of data and high sparsity.
PANOPLY is a platform for applying state-of-the-art statistical and machine learning algorithms to transform multi-omic data from cancer samples into biologically meaningful and interpretable results.
Environmental pollution is inherently interconnected across air, water, and soil systems. Contaminants migrate through ...
Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Letters, ...
@article{montoison-orban-2023, author = {Montoison, Alexis and Orban, Dominique}, title = {{Krylov.jl: A Julia basket of hand-picked Krylov methods}}, journal ...
Buy-in-Bulk Active Learning. Liu Yang and Jaime Carbonell. Advances in Neural Information Processing Systems 26 (NIPS), 2013. Liu Yang, Avrim Blum and Jaime Carbonell. Learnability of DNF with ...
Use the drop-down list to filter faculty status by: tenure track, teaching, adjunct, visiting and emeritus. Use the search field to input keywords such as expertise, specialization, research or ...
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