Andrew Duncan

According to our database, Andrew Duncan authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian Modeling and Inference for One-Shot Experiments.

Jonathan Rougier, Andrew Duncan

Technometrics, 2024

2023

On the geometry of Stein variational gradient descent.

Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch

J. Mach. Learn. Res., 2023

Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset.

David Cornett III, Joel Brogan, Nell Barber, Deniz Aykac, Seth T. 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models.

Tobias Schröder, Zijing Ou, Jen Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew Duncan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy-Based Models for Functional Data using Path Measure Tilting.

Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Parameterisation of domain knowledge for rapid and iterative prototyping of knowledge-based systems.

Andrew Young, Graeme M. West, Blair Brown, Bruce Stephen, Andrew Duncan, W. Craig Michie, Stephen D. J. McArthur

Expert Syst. Appl., 2022

Federated Bayesian Computation via Piecewise Deterministic Markov Processes.

Joris Bierkens, Andrew Duncan

CoRR, 2022

F-EBM: Energy Based Learning of Functional Data.

Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan

CoRR, 2022

A Manifesto for Applied Data Science - Reasoning from a Business Perspective.

Bahne Christiansen, Uwe Neuhaus, Michael Schulz, Adrian Hargreaves, Antinisca Di Marco, Guido Proietti, Fabrizio Rossi, Giovanni Stilo, Mark H. Haney, Andrew Duncan, Daniele Tessera, Tilman Todt, Andreas Brandenberg, Patricia Feubli

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022