Kacper Wyrwal
@wyrwalkacper.bsky.social
I dabble in geometric machine learning.
Master's student at the University of Oxford.
Master's student at the University of Oxford.
We test our model on the ERA5 dataset – interpolating wind on the globe from a set of points on a satellite trajectory. Our model outperforms baselines, yielding accurate and interpretable uncertainty estimates. An example predictive mean and variance is shown below. 7/n
February 13, 2025 at 4:45 PM
We test our model on the ERA5 dataset – interpolating wind on the globe from a set of points on a satellite trajectory. Our model outperforms baselines, yielding accurate and interpretable uncertainty estimates. An example predictive mean and variance is shown below. 7/n
Excited to share our ICLR 2025 oral "Residual Deep Gaussian Processes on Manifolds"!
With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n
With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n
February 13, 2025 at 4:45 PM
Excited to share our ICLR 2025 oral "Residual Deep Gaussian Processes on Manifolds"!
With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n
With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n