Asia
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
Experimental results are presented to corroborate our theory.
FourierFeaturesLetNetworksLearn HighFrequencyFunctionsinLowDimensionalDomains
Figure 1: Fourier features improve the results of coordinate-based MLPs for a variety of highfrequencylow-dimensional regression tasks, both with direct (b,c)and indirect (d,e)supervision.
AdaptiveLearningofRank-OneModelsfor EfficientPairwiseSequenceAlignment
A key step in many bioinformatics analysis pipelines is the identification of regions of similarity between pairs of DNA sequencing reads. This task, known aspairwise sequence alignment, is a heavy computational burden, particularly in the context of third-generation long-read sequencing technologies,whichproducenoisyreads[45].
pFL-Bench: AComprehensive Benchmarkfor Personalized Federated Learning
Fine-tuning works [63] tominimizeE(x, y) Di[f( i;x, y)], where i isusually of g beforefine-tuning.
Parameter-freeHE-friendlyLogisticRegression
Homomorphic encryption has recently attracted attention as a key solution to preserve privacy in machine learning applications.
