Search Results for author:
Found 2 papers, 2 papers with code
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
Moment Pooling generalizes the summation in Deep Sets to arbitrary multivariate moments, which enables the model to achieve a much higher effective latent dimensionality for a fixed latent dimension.
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Machine learning offers an exciting opportunity to improve the calibration of nearly all reconstructed objects in high-energy physics detectors.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
