most citedUniversal set of Observables for Forecasting Physical Systems through Causal Embedding

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2026

Modeling Discrete Data with High-Order Vector Potts Models

Aaron De Clercq, Merijn Moody, Clélia de Mulatier

Modeling high-dimensional data is challenging, yet essential to understanding many complex systems. Maximum entropy models such as Ising and Potts models have been used extensively…

math.DS2021★ 1 cited

Universal set of Observables for Forecasting Physical Systems through Causal Embedding

G Manjunath, A de Clercq, MJ Steynberg

We demonstrate when and how an entire left-infinite orbit of an underlying dynamical system or observations from such left-infinite orbits can be uniquely represented by a pair of…