papers
Publications (13)
cs.CL2016
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?
Paul Tupper, Bobak Shahriari
math.MG2017
Open Problem Statement: Minimal Distortion Embeddings of Diversities in $\ell_1$
David Bryant, Paul Tupper
math.PR2005
Continuous and Tractable models for the Variation of Evolutionary Rates
Thomas Lepage, Stephan Lawi, Paul Tupper +1
cs.CL2020
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects?
Simone Brugiapaglia, Matthew Liu, Paul Tupper
cs.CL2018
Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation
Paul Tupper, Paul Smolensky, Pyeong Whan Cho
cs.CL2018
Stability and Fluctuations in a Simple Model of Phonetic Category Change
Benjamin Goodman, Paul Tupper
math.DS2024
Optimal Dosing Schedules for Substances Inducing Tolerance
Golrokh Nouri, Paul Tupper
astro-ph2002
The Effects of Thermonuclear Reaction Rate Variations on Nova Nucleosynthesis: A Sensitivity Study
Christian Iliadis, Art Champagne, Jordi Jose +2
math.MG2017
A Universal Separable Diversity
David Bryant, André Nies, Paul Tupper
math.LO2019
Fraïssé Limits for Relational Metric Structures
David Bryant, André Nies, Paul Tupper
math.MG2026
Linear and Sublinear Diversities
David Bryant, Paul Tupper
math.MG2020
Lattice Diversities
David Bryant, Raúl Felipe, Mauricio Toledo-Acosta +1
math.NA2014
Convergence of a Metropolized Integrator for Stochastic Differential Equations with Variable Diffusion Coefficient
Paul Tupper, Xin Yang