A new modularity density measure improves community detection in heterogeneous networks.
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The paper corrects the use of the transverse density bundle in Lie groupoids.
A new neural network for efficient density estimation.
Skew algebroid is a natural generalization of the concept of Lie algebroid. In this paper, for a skew algebroid E, its modular class mod(E) is defined in the classical as well as in the supergeometric formulation. It is proved that there is a homogeneous nowhere-vanishing 1-density on E* which is invariant with respect…
We investigate non-degenerate Lagrangians of the form such that the corresponding Euler-Lagrange equations are integrable by the method of hydrodynamic reductions. We demonstrate that the integrability conditions, which constitute an invol…
We show that the topological modular functor from Witten-Chern-Simons theory is universal for quantum computation in the sense a quantum circuit computation can be efficiently approximated by an intertwining action of a braid on the functor's state space. A computational model based on Chern-Simons theory at a fifth ro…
A modular GP framework for efficient transfer learning.
A new method simplifies sampling from complex distributions without using diffusions.
BlackJAX simplifies Bayesian inference with modular, fast implementations.
We consider odd Laplace operators acting on densities of various weight on an odd Poisson (= Schouten) manifold . We prove that the case of densities of weight 1/2 (half-densities) is distinguished by the existence of a unique odd Laplace operator depending only on a point of an ``orbit space'' of volume forms. This…
Study shows density of mapping classes on infinite-type surfaces using quasi-conformal maps.
In this paper, we construct Laplace-Beltrami operators associated with arbitrary Riemannian metrics on noncommutative tori of any dimension. These operators enjoy the main properties of the Laplace-Beltrami operators on ordinary Riemannian manifolds. The construction takes into account the non-triviality of the group o…
DoSE improves OOD detection by estimating model probability density.
Motivated by the local formulae for asymptotic expansion of heat kernels in spectral geometry, we propose a definition of Ricci curvature in noncommutative settings. The Ricci operator of an oriented closed Riemannian manifold can be realized as a spectral functional, namely the functional defined by the zeta function …
Survey of Monte Carlo methods for noisy, costly densities in reinforcement learning and ABC.
We show, using a theorem of Milnor and Margulis, that string theory on compact negatively curved spaces grows new effective dimensions as the space shrinks, generalizing and contextualizing the results in hep-th/0510044. Milnor's theorem relates negative sectional curvature on a compact Riemannian manifold to exponenti…
A second order self-adjoint operator is uniquely defined by its principal symbol and potential if it acts on half-densities. We analyse the potential as a compensating field (gauge field) in the sense that it compensates the action of coordinate transformations on the second derivatives in…
Novel flows generate molecules without post-processing.
Probabilistic inference procedures are usually coded painstakingly from scratch, for each target model and each inference algorithm. We reduce this effort by generating inference procedures from models automatically. We make this code generation modular by decomposing inference algorithms into reusable program-to-progr…
Proposes a deep neural network for multi-dimensional functional data classification.
MCMC methods for sampling from the space of DAGs can mix poorly due to the local nature of the proposals that are commonly used. It has been shown that sampling from the space of node orders yields better results [FK03, EW06]. Recently, Koivisto and Sood showed how one can analytically marginalize over orders using dyn…
SurVAE Flows combine VAEs and flows using surjective transformations.
We find and propose an explanation for a large variety of modularity-related symmetries in problems of 3-manifold topology and physics of 3d theories where such structures a priori are not manifest. These modular structures include: mock modular forms, Weil representations, quantum mo…
Researchers found the global topology of the Eisenstein-Picard modular surface.
Study modular surfaces in Lorentz-Minkowski 3-space, classifying and analyzing their curvature and applications.
Modular neural networks generalize better with less data.
Study modular forms over Γ^0(2) and anomaly cancellation formulas.
Our aim is to introduce and advocate non- (non-symmetric) modular operads. While ordinary modular operads were inspired by the structure of the moduli space of stable complex curves, non- modular operads model surfaces with open strings outputs. An immediate application of our theory is a short proof that the mod…
Neural networks learn modular arithmetic but not all, extending known solutions to generalize.
Fuchsian groups with a modular embedding have the richest arithmetic properties among non-arithmetic Fuchsian groups. But they are very rare, all known examples being related either to triangle groups or to Teichmueller curves. In Part I of this paper we study the arithmetic properties of the modular embedding and deve…
Improved algorithm for modular links provides upper volume bounds.
Geodesics on modular surface yield arithmetic 3-manifolds.
We introduce the notion of the modular class of a Lie algebroid equipped with a Nambu structure. In particular, we recover the modular class of a Nambu-Poisson manifold with its Nambu tensor as the modular class of the tangent Lie algebroid with Nambu structure We show that many known properties of th…
New modular forms for anomaly cancellation formulas on any dimensional manifolds.
Quantum modularity proved for SU(2) TQFT signature on genus 2 surfaces.
Motivated by a question of Hirzebruch on the possible topological types of cusp cross-sections of Hilbert modular varieties, we give a necessary and sufficient condition for a manifold M to be diffeomorphic to a cusp cross-section of a Hilbert modular variety. Specialized to Hilbert modular surfaces, this proves that e…
Countable modular groups found on surfaces with infinite type.
Quantum modularity proven for specific theta series.
Study Alexander polynomials of modular knots, revealing finite and infinite coefficient properties.
The paper introduces elliptic quasi-modular forms via moduli spaces.
In this paper the exact linear relation between the leading eigenvectors of the modularity matrix and the singular vectors of an uncentered data matrix is developed. Based on this analysis the concept of a modularity component is defined, and its properties are developed. It is shown that modularity component analysis …
Sharp lower bounds for modular invariants and Dehn twist coefficients in genus 2 and 3.
This paper develops the exact linear relationship between the leading eigenvector of the unnormalized modularity matrix and the eigenvectors of the adjacency matrix. We propose a method for approximating the leading eigenvector of the modularity matrix, and we derive the error of the approximation. There is also a comp…
Constructs modular forms and proves divisibility results for odd-dimensional manifolds.
A modular functor is constructed from non-semisimple 3d TFTs.
New formulas derived for anomaly cancellation using modular forms and E8 bundles.
ETQFTs created from non-semisimple modular categories.
We study the behavior of the modular class of a Lie algebroid under general Lie algebroid morphisms by introducing the relative modular class. We investigate the modular classes of pull-back morphisms and of base-preserving morphisms associated to Lie algebroid extensions. We also define generalized morphisms, includin…