42 citations · 74 across the 6 of their papers we have counts for
6 papers
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
Zineb Senane, Lele Cao, Valentin Leonhard Buchner +6
Time Series Representation Learning (TSRL) focuses on generating informative representations for various Time Series (TS) modeling tasks. Traditional Self-Supervised Learning (SSL)…
Quasispecies and recombination
Martin Nilsson Jacobi, Mats Nordahl
Recombination is introduced into Eigen's theory of quasispecies evolution. Comparing numerical simulations of the rate equations in the non-recombining and recombining cases show t…
Vortex Dynamics and Entropic Coulomb Forces in Ising and Potts Antiferromagnets and Ice Models
Cristopher Moore, Mats G. Nordahl, Nelson Minar +1
We study the dynamics of topological defects in the triangular Ising antiferromagnet, a related model on the square lattice equivalent to the six-vertex ice model, and the three-st…
Relaxation in graph coloring and satisfiability problems
Pontus Svenson, Mats G. Nordahl
Using T=0 Monte Carlo simulation, we study the relaxation of graph coloring (K-COL) and satisfiability (K-SAT), two hard problems that have recently been shown to possess a phase t…
Complexity of Two-Dimensional Patterns
Kristian Lindgren, Cristopher Moore, Mats G. Nordahl
In dynamical systems such as cellular automata and iterated maps, it is often useful to look at a language or set of symbol sequences produced by the system. There are well-establi…
Lattice Gas Prediction is P-complete
Cristopher Moore, Mats G. Nordahl
We show that predicting the HPP or FHP III lattice gas for finite time is equivalent to calculating the output of an arbitrary Boolean circuit, and is therefore P-complete: that is…