Paul F. Tupper

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 21

Top Topics

Memory Capacity

Inductive Learning Algorithms

Neural Dynamics

Training Patterns

Top Venues

J. Appl. Probab.

Publications

David Bryant, Katharina T. Huber, Vincent Moulton, Paul F. Tupper
Diversities and the Generalized Circumradius. Discret. Comput. Geom. 70 (4) (2023)
Simone Brugiapaglia, Matthew Liu, Paul F. Tupper
Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks. Neural Comput. 34 (8) (2022)
Paul F. Tupper, Caroline Colijn
COVID-19 in schools: Mitigating classroom clusters in the context of variable transmission. PLoS Comput. Biol. 17 (7) (2021)
Simone Brugiapaglia, M. Liu, Paul F. Tupper
Invariance, encodings, and generalization: learning identity effects with neural networks. CoRR (2021)
David Bryant, André Nies, Paul F. Tupper
FraïSSé Limits for Relational Metric Structures. J. Symb. Log. 86 (3) (2021)
Simone Brugiapaglia, Matthew Liu, Paul F. Tupper
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? CoRR (2020)
Simone Brugiapaglia, Paul F. Tupper, Matthew Liu
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? CogSci (2020)
Gavin W. Jenkins, Paul F. Tupper
A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition. Neural Comput. 30 (7) (2018)
Benjamin Goodman, Paul F. Tupper
Stability and Fluctuations in a Simple Model of Phonetic Category Change. SIAM J. Appl. Dyn. Syst. 17 (3) (2018)
Gavin W. Jenkins, Paul F. Tupper
Cross Modal Cue Compensation in Size and Pitch. CogSci (2018)
Paul F. Tupper, Jie Jian, Keith King Wui Leung, Yue Wang
Game Theoretic Models of Clear versus Plain Speech. CogSci (2018)
Paul F. Tupper, Paul Smolensky, Pyeong Whan Cho
Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation. CoRR (2018)
Pei Wu, David Bryant, Paul F. Tupper
Negative type diversities, a multi-dimensional analogue of negative type metrics. CoRR (2018)
Benjamin Goodman, Paul F. Tupper
Effects of limiting memory capacity on the behaviour of exemplar dynamics. J. Appl. Probab. 55 (2) (2018)
Benjamin Goodman, Paul F. Tupper
Stability and Fluctuations in a Simple Model of Phonetic Category Change. CoRR (2017)
Benjamin Goodman, Paul F. Tupper
Effects of Limiting Memory Capacity on the Behaviour of Exemplar Dynamics. CoRR (2017)
Gavin W. Jenkins, Jordan I. Barnes, Paul F. Tupper, Mark R. Blair
A modeling link between cognitive and biological homeostasis. CogSci (2017)
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)
Paul F. Tupper, Bobak Shahriari
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? CogSci (2016)
Paul F. Tupper, Bobak Shahriari
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? CoRR (2016)
Gavin W. Jenkins, Paul F. Tupper
A Dynamic Neural Field Model of Speech Cue Compensation. CogSci (2016)
Paul F. Tupper
Exemplar Dynamics and Sound Merger in Language. SIAM J. Appl. Math. 75 (4) (2015)
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)
Paul F. Tupper
Which Algorithms Can and Can't Learn Identity Effects in Phonological Grammars. CogSci (2015)
Paul F. Tupper
Exemplar Dynamics Models of the Stability of Phonological Categories. CoRR (2014)
David Bryant, Paul F. Tupper
Diversities and the Geometry of Hypergraphs. Discret. Math. Theor. Comput. Sci. 16 (2) (2014)
Paul F. Tupper
Exemplar Dynamics and Sound Merger in Language. CoRR (2014)
Paul F. Tupper
Exemplar Dynamics Models of the Stability of Phonological Categories. CogSci (2014)
David Bryant, Paul F. Tupper
Diversities and the Geometry of Hypergraphs. CoRR (2013)
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)
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) (2012)
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) (2010)
Paul F. Tupper
The Relation between Approximation in Distribution and Shadowing in Molecular Dynamics. SIAM J. Appl. Dyn. Syst. 8 (2) (2009)
Paul F. Tupper
Ergodicity and the Numerical Simulation of Hamiltonian Systems. SIAM J. Appl. Dyn. Syst. 4 (3) (2005)