Abstract: Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes ...
According to Stanford AI Lab, researchers have successfully optimized the classic K-SVD algorithm to achieve performance on par with sparse autoencoders for interpreting transformer-based language ...
College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, P. R. China Experimental and Research Animal Institute, West China School of Basic Medical Sciences & Forensic Medicine, ...
According to Chris Olah (@ch402) on Twitter, there is continued strong interest in Sparse Autoencoders (SAEs) and transcoders within the AI research community (source ...
Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...
The State Common Entrance Test (CET) Maharashtra, has released the MHT CET 2025 final merit list. Candidates can check the MHT CET final merit list on the official website, fe2025.mahacet.org. MHT CET ...
The SoupX tutorial uses pandas2ri.activate(), which is deprecated in recent versions of rpy2, and attempts to pass scipy.sparse matrices (like adata.X.T) directly ...
Many Bioconductor packages store single-cell RNASeq data in sparse matrices in-memory. It seems like currently, rhdf5::h5writeDataset does not support a sparse matrix as input. For smaller matrices, I ...
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