Linnea M. Wolniewicz

I am passionate about using machine learning to understand the universe around us. Computer Science Ph.D. Student at the University of Hawaiʻi at Mānoa.

Publications

Neural Surrogate HMC: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihood

29 Jul 2024

Abstract Bayesian Inference with Markov Chain Monte Carlo requires efficient computation of the likelihood function. In some scientific applications, the likelihood must be computed by numerically solving a partial differential equation, which can be prohibitively expensive. We demonstrate that some...

WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images

24 Jun 2024

Abstract The European Space Agency’s Copernicus Sentinel-1 (S-1) mission is a constellation of C-band synthetic aperture radar (SAR) satellites that provide unprecedented monitoring of the world’s oceans. S-1’s wave mode (WV) captures 20x20 km image patches at 5 m pixel...

The Stars Kepler Missed: Investigating the Kepler Target Selection Function Using Gaia DR2

23 Apr 2021

Abstract The Kepler Mission revolutionized exoplanet science and stellar astrophysics by obtaining highly precise photometry of over 200,000 stars over 4 yr. A critical piece of information to exploit Kepler data is its selection function, since all targets had to...

SEARCH: SEgmentation of polAR Coronal Holes

02 Mar 2021

Abstract The identification of solar coronal holes (CHs) observed in Extreme Ultraviolet (EUV) intensity images of the Sun is key in improving our understanding of their association with solar magnetic fields and heliophysics. In particular, CHs at the poles of...