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Found 5 papers, 3 papers with code
Step and Smooth Decompositions as Topological Clustering
Alternately, the problem can be viewed as clustering in the presence of structured (smooth) contaminant.
Simplifying GNN Performance with Low Rank Kernel Models
We posit that many of the current GNN architectures may be over-engineered.
LapGM: A Multisequence MR Bias Correction and Normalization Model
A spatially regularized Gaussian mixture model, LapGM, is proposed for the bias field correction and magnetic resonance normalization problem.
Sinusoidal Sensitivity Calculation for Line Segment Geometries
Purpose: Provide a closed-form solution to the sinusoidal coil sensitivity model proposed by Kern et al.
Using Machine Learning to Select High-Quality Measurements
We describe the use of machine learning algorithms to select high-quality measurements for the Mu2e experiment.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
