no code implementations • 26 Mar 2024 • Lawrence A. Bull, Chiho Jeon, Mark Girolami, Andrew Duncan, Jennifer Schooling, Miguel Bravo Haro
We formulate a combined model from simple units, representing strain envelopes (of each train passing) for two types of commuter train.
no code implementations • 15 May 2023 • Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew Duncan, Mark Girolami
Most interestingly, domain expertise and knowledge of the underlying physics can be encoded in the model at the system, subgroup, or population level.
1 code implementation • 3 Nov 2022 • David Cornett III, Joel Brogan, Nell Barber, Deniz Aykac, Seth Baird, Nick Burchfield, Carl Dukes, Andrew Duncan, Regina Ferrell, Jim Goddard, Gavin Jager, Matt Larson, Bart Murphy, Christi Johnson, Ian Shelley, Nisha Srinivas, Brandon Stockwell, Leanne Thompson, Matt Yohe, Robert Zhang, Scott Dolvin, Hector J. Santos-Villalobos, David S. Bolme
Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning models.
1 code implementation • 7 Feb 2022 • Xing Liu, Harrison Zhu, Jean-François Ton, George Wynne, Andrew Duncan
Stein variational gradient descent (SVGD) is a deterministic particle inference algorithm that provides an efficient alternative to Markov chain Monte Carlo.
1 code implementation • 4 Feb 2022 • Jen Ning Lim, Sebastian Vollmer, Lorenz Wolf, Andrew Duncan
Their ability to incorporate domain-specific choices and constraints into the structure of the model through composition make EBMs an appealing candidate for applications in physics, biology and computer vision and various other fields.
2 code implementations • 13 Jan 2022 • Bryn Noel Ubald, Pranay Seshadri, Andrew Duncan
This study proposes a radically alternate approach for extracting quantitative information from schlieren images.