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In this paper, we derive a new model for the description of liquid crystalline flows. While microscopic Doi type models suffer from the high dimensionality of the underlying product space, the more macroscopic Ericksen--Leslie type models…

Analysis of PDEs · Mathematics 2021-03-04 Stefan Metzger

We develop abstract nonsense for module categories over monoidal categories (this is a straightforward categorification of modules over rings). As applications we show that any semisimple monoidal category with finitely many simple objects…

Quantum Algebra · Mathematics 2007-05-23 Viktor Ostrik

We introduce action-driven flows for causal variational principles, being a class of non-convex variational problems emanating from applications in fundamental physics. In the compact setting, H\"older continuous curves of measures are…

Mathematical Physics · Physics 2026-05-27 Felix Finster , Franz Gmeineder

Framed flow categories were introduced by Cohen-Jones-Segal as a way of encoding the flow data associated to a Floer functional. A framed flow category gives rise to a CW-complex with one cell for each object of the category. The idea is…

Geometric Topology · Mathematics 2018-08-29 Andrew Lobb , Patrick Orson , Dirk Schuetz

We prove that any globular subdivision of multipointed $d$-spaces gives rise to a dihomotopy equivalence between the associated flows. As a straightforward application, the flows associated to two multipointed $d$-spaces related by a finite…

Algebraic Topology · Mathematics 2026-01-30 Philippe Gaucher

We produce a highly structured way of associating a simplicial category to a model category which improves on work of Dwyer and Kan and answers a question of Hovey. We show that model categories satisfying a certain axiom are Quillen…

Algebraic Topology · Mathematics 2020-01-13 Charles Rezk , Stefan Schwede , Brooke Shipley

We introduce some classes of genuine higher categories in homotopy type theory, defined as well-behaved subcategories of the category of types. We give several examples, and some techniques for showing other things are not examples. While…

Category Theory · Mathematics 2013-11-11 James Cranch

New elementary, self-contained proofs are presented for the topological and the smooth classification theorems of linear flows on finite-dimensional normed spaces. The arguments, and the examples that accompany them, highlight the…

Dynamical Systems · Mathematics 2018-06-12 Arno Berger , Anthony Wynne

We consider the problem of evolving hypersurfaces by mean curvature flow in the presence of obstacles, that is domains which the flow is not allowed to enter. In this paper, we treat the case of complete graphs and explain how the approach…

Differential Geometry · Mathematics 2014-12-01 Melanie Rupflin , Oliver C. Schnürer

We consider the category of presheaves of Gamma-spaces, or equivalently, of Gamma-objects in simplicial presheaves. Our main result is the construction of stable model structures on this category parametrised by local model structures on…

Algebraic Topology · Mathematics 2008-05-13 Håkon S. Bergsaker

We pursue the analogy of a framed flow category with the flow data of a Morse function. In classical Morse theory, Morse functions can sometimes be locally altered and simplified by the Morse moves. These moves include the Whitney trick…

Geometric Topology · Mathematics 2015-07-14 Dan Jones , Andrew Lobb , Dirk Schuetz

This paper gives an introduction to the homotopy theory of quasi-categories. Weak equivalences between quasi-categories are characterized as maps which induce equivalences on a naturally defined system of groupoids. These groupoids…

Category Theory · Mathematics 2019-09-19 J. F. Jardine

We formulate a new class of conditional generative models based on probability flows. Trained with maximum likelihood, it provides efficient inference and sampling from class-conditionals or the joint distribution, and does not require a…

Machine Learning · Computer Science 2019-04-23 Micha Livne , David Fleet

A general method for lifting weak factorization systems in a category S to model category structures on simplicial objects in S is described, analogously to the lifting of cotorsion pairs in Abelian categories to model category structures…

Algebraic Topology · Mathematics 2021-05-19 Fritz Hörmann

The transport of scalar quantities passively advected by velocity fields with a small-scale component can be modeled at meso-scale level by means of an effective drift and an effective diffusivity, which can be determined by means of…

Chaotic Dynamics · Physics 2009-11-11 M. Cencini , A. Mazzino , S. Musacchio , A. Vulpiani

We propose a general framework to extend Flow Matching to homogeneous spaces, i.e. quotients of Lie groups. Our approach reformulates the problem as a flow matching task on the underlying Lie group by lifting the data distributions. This…

Machine Learning · Computer Science 2026-03-27 Francesco Ruscelli

We introduce a new higher categorical structure called a weakly globular n-fold category. This structure is based on iterated internal categories and on the notion of weak globularity. We identify a suitable class of pseudo-functors whose…

Category Theory · Mathematics 2016-05-24 Simona Paoli

Flow matching has emerged as a powerful generative framework, with recent few-step methods achieving remarkable inference acceleration. However, we identify a critical yet overlooked limitation: these models suffer from severe diversity…

Machine Learning · Computer Science 2026-04-15 Yexiong Lin , Jia Shi , Shanshan Ye , Wanyu Wang , Yu Yao , Tongliang Liu

Creating good type error messages for constraint-based type inference systems is difficult. Typical type error messages reflect implementation details of the underlying constraint-solving algorithms rather than the specific factors leading…

Programming Languages · Computer Science 2024-02-21 Ishan Bhanuka , Lionel Parreaux , David Binder , Jonathan Immanuel Brachthäuser

Finding low-dimensional interpretable models of complex physical fields such as turbulence remains an open question, 80 years after the pioneer work of Kolmogorov. Estimating high-dimensional probability distributions from data samples…

Machine Learning · Statistics 2026-01-13 Etienne Lempereur , Stéphane Mallat