Andrew Duncan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Representative Subset

Markov Processes

Grassmann Manifold

Top Venues

J. Comput. Phys.

J. Mach. Learn. Res.

Publications

Jonathan Rougier, Andrew Duncan
Bayesian Modeling and Inference for One-Shot Experiments. Technometrics 66 (1) (2024)
Tobias Schröder, Zijing Ou, Jen Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew Duncan
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models. NeurIPS (2023)
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
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset. WACV (Workshops) (2023)
Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch
On the geometry of Stein variational gradient descent. J. Mach. Learn. Res. 24 (2023)
Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan
Energy-Based Models for Functional Data using Path Measure Tilting. AISTATS (2023)
Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew Duncan
Grassmann Stein Variational Gradient Descent. AISTATS (2022)
Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan
F-EBM: Energy Based Learning of Functional Data. CoRR (2022)
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
A Manifesto for Applied Data Science - Reasoning from a Business Perspective. itaDATA (2022)
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
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset. CoRR (2022)
Xing Liu, Harrison Zhu, Jean-François Ton, George Wynne, Andrew Duncan
Grassmann Stein Variational Gradient Descent. CoRR (2022)
Andrew Young, Graeme M. West, Blair Brown, Bruce Stephen, Andrew Duncan, W. Craig Michie, Stephen D. J. McArthur
Parameterisation of domain knowledge for rapid and iterative prototyping of knowledge-based systems. Expert Syst. Appl. 208 (2022)
Joris Bierkens, Andrew Duncan
Federated Bayesian Computation via Piecewise Deterministic Markov Processes. CoRR (2022)
Denis Yuen, Louise Cabansay, Andrew Duncan, Gary Luu, Gregory Hogue, Charles Overbeck, Natalie Perez, Walt Shands, David Steinberg, Chaz Reid, Nneka Olunwa, Richard Hansen, Elizabeth Sheets, Ash O'farrell, Kim Cullion, Brian D. O'Connor, Benedict Paten, Lincoln Stein
The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols. Nucleic Acids Res. 49 (Webserver-Issue) (2021)
Andrew Duncan, Radek Erban, Konstantinos C. Zygalakis
Hybrid framework for the simulation of stochastic chemical kinetics. J. Comput. Phys. 326 (2016)