SebastianPopescu

Amor-Struct-GP

Official implementation of "Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels" (UAI 2023)

BayesNewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

GPJax

Gaussian processes in JAX.

InducingFrequencyBands

InverseFreeStudent-TProcesses

nonlinear_interaction_GPs

Accompanying code for "Non-linear interactions between biomarkers in conversion from Mild Cognitive Impairment to Alzheimer's Disease"

SphericalHarmonics

Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax

U-NET-for-LocalBrainAge-prediction

Code and trained weights for upcoming paper "A U-NET model for Local Brain-Age"

SebastianPopescu/U-NET-for-LocalBrainAge-prediction

Code and trained weights for upcoming paper "A U-NET model for Local Brain-Age"

SebastianPopescu/nonlinear_interaction_GPs

Accompanying code for "Non-linear interactions between biomarkers in conversion from Mild Cognitive Impairment to Alzheimer's Disease"

SebastianPopescu/Amor-Struct-GP

Official implementation of "Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels" (UAI 2023)

SebastianPopescu/BayesNewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

SebastianPopescu/GPJax

Gaussian processes in JAX.

SebastianPopescu/InducingFrequencyBands

SebastianPopescu/InverseFreeStudent-TProcesses

SebastianPopescu/SphericalHarmonics

Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax