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2020 – today
- 2024
[j3]Jonathan Rougier
, Andrew Duncan:
Bayesian Modeling and Inference for One-Shot Experiments. Technometrics 66(1): 55-64 (2024)- 2023
- [j2]Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch:
On the geometry of Stein variational gradient descent. J. Mach. Learn. Res. 24: 56:1-56:39 (2023) - [c4]Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan:
Energy-Based Models for Functional Data using Path Measure Tilting. AISTATS 2023: 1904-1923 - [c3]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 - [c2]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: 593-602 - 2022
- [j1]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: 118169 (2022) - [c1]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: 123-131 - [i4]Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan:
F-EBM: Energy Based Learning of Functional Data. CoRR abs/2202.01929 (2022) - [i3]Joris Bierkens, Andrew Duncan:
Federated Bayesian Computation via Piecewise Deterministic Markov Processes. CoRR abs/2210.13816 (2022) - [i2]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 abs/2211.01917 (2022)
2010 – 2019
- 2019
- [i1]Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch:
On the geometry of Stein variational gradient descent. CoRR abs/1912.00894 (2019)
Coauthor Index
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