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ORCIDPaul F. Tupper
Person information
- affiliation: Simon Fraser University, Canada
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2020 – today
- 2023
[j13]David Bryant
, Katharina T. Huber, Vincent Moulton, Paul F. Tupper:
Diversities and the Generalized Circumradius. Discret. Comput. Geom. 70(4): 1862-1883 (2023)- 2022
- [j12]Simone Brugiapaglia, Matthew Liu, Paul F. Tupper:
Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks. Neural Comput. 34(8): 1756-1789 (2022) - 2021
- [j11]David Bryant, André Nies, Paul F. Tupper:
FraïSSé Limits for Relational Metric Structures. J. Symb. Log. 86(3): 913-934 (2021) - [j10]Paul F. Tupper, Caroline Colijn:
COVID-19 in schools: Mitigating classroom clusters in the context of variable transmission. PLoS Comput. Biol. 17(7) (2021) - [i10]Simone Brugiapaglia, M. Liu, Paul F. Tupper:
Invariance, encodings, and generalization: learning identity effects with neural networks. CoRR abs/2101.08386 (2021) - 2020
- [c11]Simone Brugiapaglia, Paul F. Tupper, Matthew Liu:
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? CogSci 2020 - [i9]Simone Brugiapaglia, Matthew Liu, Paul F. Tupper:
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? CoRR abs/2005.04330 (2020)
2010 – 2019
- 2018
- [j9]Benjamin Goodman, Paul F. Tupper:
Effects of limiting memory capacity on the behaviour of exemplar dynamics. J. Appl. Probab. 55(2): 390-401 (2018) - [j8]Gavin W. Jenkins, Paul F. Tupper:
A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition. Neural Comput. 30(7) (2018) - [j7]Benjamin Goodman, Paul F. Tupper:
Stability and Fluctuations in a Simple Model of Phonetic Category Change. SIAM J. Appl. Dyn. Syst. 17(3): 2332-2351 (2018) - [c10]Gavin W. Jenkins, Paul F. Tupper:
Cross Modal Cue Compensation in Size and Pitch. CogSci 2018 - [c9]Paul F. Tupper, Jie Jian, Keith King Wui Leung, Yue Wang:
Game Theoretic Models of Clear versus Plain Speech. CogSci 2018 - [i8]Paul F. Tupper, Paul Smolensky, Pyeong Whan Cho:
Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation. CoRR abs/1801.03562 (2018) - [i7]Pei Wu, David Bryant, Paul F. Tupper:
Negative type diversities, a multi-dimensional analogue of negative type metrics. CoRR abs/1809.06523 (2018) - 2017
- [c8]Gavin W. Jenkins, Jordan I. Barnes, Paul F. Tupper, Mark R. Blair:
A modeling link between cognitive and biological homeostasis. CogSci 2017 - [c7]Paul F. Tupper, Thuan Pham Nguyen, Yunlong Nie, Jiguo Cao, Liangliang Wang:
Fitting a Stochastic Model to Eye Movement Time Series in a Categorization Task. CogSci 2017 - [i6]Benjamin Goodman, Paul F. Tupper:
Effects of Limiting Memory Capacity on the Behaviour of Exemplar Dynamics. CoRR abs/1703.03842 (2017) - [i5]Benjamin Goodman, Paul F. Tupper:
Stability and Fluctuations in a Simple Model of Phonetic Category Change. CoRR abs/1704.06358 (2017) - 2016
- [c6]Gavin W. Jenkins, Paul F. Tupper:
A Dynamic Neural Field Model of Speech Cue Compensation. CogSci 2016 - [c5]Paul F. Tupper, Bobak Shahriari:
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? CogSci 2016 - [i4]Paul F. Tupper, Bobak Shahriari:
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? CoRR abs/1605.04002 (2016) - 2015
- [j6]Paul F. Tupper:
Exemplar Dynamics and Sound Merger in Language. SIAM J. Appl. Math. 75(4): 1469-1492 (2015) - [c4]Jordan I. Barnes, Mark R. Blair, Paul F. Tupper, R. Calen Walshe:
A dynamic neural field model of self-regulated eye movements during category learning. CogSci 2015 - [c3]Paul F. Tupper:
Which Algorithms Can and Can't Learn Identity Effects in Phonological Grammars. CogSci 2015 - 2014
- [j5]David Bryant, Paul F. Tupper:
Diversities and the Geometry of Hypergraphs. Discret. Math. Theor. Comput. Sci. 16(2): 1-20 (2014) - [c2]Paul F. Tupper:
Exemplar Dynamics Models of the Stability of Phonological Categories. CogSci 2014 - [i3]Paul F. Tupper:
Exemplar Dynamics Models of the Stability of Phonological Categories. CoRR abs/1405.0049 (2014) - [i2]Paul F. Tupper:
Exemplar Dynamics and Sound Merger in Language. CoRR abs/1412.1841 (2014) - 2013
- [c1]Jordan I. Barnes, Mark R. Blair, Paul F. Tupper, R. Calen Walshe:
Adult Category Learning Differences Predicted by a Dynamic Neural Field Theory Account of Information Sampled from the Fovea. CogSci 2013 - [i1]David Bryant, Paul F. Tupper:
Diversities and the Geometry of Hypergraphs. CoRR abs/1312.5408 (2013) - 2012
- [j4]Marc D. Ryser, Nilima Nigam, Paul F. Tupper:
On the well-posedness of the stochastic Allen-Cahn equation in two dimensions. J. Comput. Phys. 231(6): 2537-2550 (2012) - 2010
- [j3]Jean-François Lemieux, L. Bruno Tremblay, Jan Sedlácek, Paul F. Tupper, Stephen Thomas, David Huard, Jean-Pierre Auclair:
Improving the numerical convergence of viscous-plastic sea ice models with the Jacobian-free Newton-Krylov method. J. Comput. Phys. 229(8): 2840-2852 (2010)
2000 – 2009
- 2009
- [j2]Paul F. Tupper:
The Relation between Approximation in Distribution and Shadowing in Molecular Dynamics. SIAM J. Appl. Dyn. Syst. 8(2): 734-755 (2009) - 2005
- [j1]Paul F. Tupper:
Ergodicity and the Numerical Simulation of Hamiltonian Systems. SIAM J. Appl. Dyn. Syst. 4(3): 563-587 (2005)
Coauthor Index
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