Modeling complex physical dynamics is a fundamental task in science and engineering. Traditional physics-based models are first-principled, explainable, and sample-efficient. However, they often rely ...

In contrast to the notion that a self is a mere phenomenal image produced by neural representations, as proposed by Thomas Metzinger and others, we advance a pattern theory of self as a positive ...

Dynamical Systems Theory (DST) has generated interest and excitement in psychological research, as demonstrated by the recent statement, “…the dynamical perspective has emerged as a primary paradigm ...

Abstract: This article is concerned with the rapid classification issue for dynamical patterns consisting of sampling sequences in a relatively large-scale dynamical dataset constructed by benchmark ...

Now that we know how to use decorated cospans to represent open networks, the Applied Category Theory Seminar has turned its attention to open reaction networks (aka Petri nets) and the dynamical ...

@article{CARREL2026114421, title = {Randomized methods for dynamical low-rank approximation}, journal = {Journal of Computational Physics}, volume = {544}, pages ...