Normalizing flows simplify complex distributions through bijective transformations.
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This paper establishes that the Nahm transform sending spatially periodic instantons (instantons on the product of the real line and a three-torus) to singular monopoles on the dual three-torus is indeed a bijection as suggested by the heuristic. In the process, we show how the Nahm transform intertwines to a Fourier-M…
Cookbook transforms constrained statistical inference into unconstrained problems.
We systematically develop a transform of the Fourier-Mukai type for sheaves on symplectic manifolds of any dimension fibred in Lagrangian tori. One obtains a bijective correspondence between unitary local systems supported on Lagrangian submanifolds of and holomorphic vector bundles with compatible unitary conn…
Normalising flows (NFS) map two density functions via a differentiable bijection whose Jacobian determinant can be computed efficiently. Recently, as an alternative to hand-crafted bijections, Huang et al. (2018) proposed neural autoregressive flow (NAF) which is a universal approximator for density functions. Their fl…
MixerFlow combines MLP-Mixer with normalizing flows for efficient image modeling.
Characterizes smiles in delta satisfying specific conditions.
Bayesian quadrature improves integration efficiency with invariant priors.
Classifies geodesic-preserving bijections in Thurston geometries.
Improves MCMC performance with adaptive affine transformations.
By the SYZ construction, a mirror pair of a complex torus and a mirror partner of the complex torus is described as the special Lagrangian torus fibrations and on the same base space . Then, by the SYZ transform, we can construct a simpl…
DFM simplifies CNF training without interpolants.
Paper extends tree bijection for hyperbolic surfaces without requiring cusps.
A new method for discrete data normalizing flows using latent transformations.
New model learns symmetry transformations from complex data.
We prove that there exists a geometric bijection between the sets of adjoint and coadjoint orbits of a semidirect product, provided a similar bijection holds for particular subgroups. We also show that under certain conditions the homotopy types of any two orbits in bijection with each other are the same. We apply our …
We establish a Penrose-Ward transform yielding a bijection between holomorphic principal 2-bundles over a twistor space and non-Abelian self-dual tensor fields on six-dimensional flat space-time. Extending the twistor space to supertwistor space, we derive sets of manifestly N=(1,0) and N=(2,0) supersymmetric non-Abeli…
New framework for better mapping of surfaces onto ellipsoids.
SurVAE Flows combine VAEs and flows using surjective transformations.
Distance-based tests, also called "energy statistics", are leading methods for two-sample and independence tests from the statistics community. Kernel-based tests, developed from "kernel mean embeddings", are leading methods for two-sample and independence tests from the machine learning community. A fixed-point transf…
We show that normalising flows become pathological when used to model targets whose supports have complicated topologies. In this scenario, we prove that a flow must become arbitrarily numerically noninvertible in order to approximate the target closely. This result has implications for all flow-based models, and espec…
Develops a framework for consistent loss functions with variable transformations.
A bijection proves a polynomial volume for genus-0 hyperbolic surfaces with boundaries.
Proves Poincaré duality for Hopf algebroids with bijective antipode.
The sl_3 spider is a diagrammatic category used to study the representation theory of the quantum group U_q(sl_3). The morphisms in this category are generated by a basis of non-elliptic webs. Khovanov- Kuperberg observed that non-elliptic webs are indexed by semistandard Young tableaux. They establish this bijection v…
We identify causal models with unobserved confounding using bijective generation mechanisms.
We show that any multiplicative bijection between the algebras of differentiable functions, defined on differentiable manifolds of positive dimension, is an algebra isomorphism, given by composition with a unique diffeomorphism.
This is a review with examples concerning the concepts of affine (in particular, constant and linear) vector fields and fundamental vector fields on a manifold. The affine, linear and constant vector fields on a manifold are shown to be in a bijective correspondence with the fundamental vector fields on it of respectiv…
Surface parameterization is widely used in computer graphics and geometry processing. It simplifies challenging tasks such as surface registrations, morphing, remeshing and texture mapping. In this paper, we present an efficient algorithm for computing the disk conformal parameterization of simply-connected open surfac…
Improved ANN-based Monte Carlo simulation for Higgs decay events.
Given a pair of number fields with isomorphic rings of adeles, we construct bijections between objects associated to the pair. For instance we construct an isomorphism of Brauer groups that commutes with restriction. We additionally construct bijections between central simple algebras, maximal orders, various Galois co…
Abstract: Bijection strengthened to Morita equivalence integrating Poisson and Cartan-Dirac structures.
Transformers mimic Bayesian reasoning in controlled settings, revealing geometric mechanisms.
Improves Bridge estimators using f-GAN to minimize RMSE.
Lossless compression methods shorten the expected representation size of data without loss of information, using a statistical model. Flow-based models are attractive in this setting because they admit exact likelihood optimization, which is equivalent to minimizing the expected number of bits per message. However, con…
Proves bijection between smooth conformal immersions and immersions.
The classical Fundamental Theorem of Affine Geometry states that for , any bijection of -dimensional Euclidean space that maps lines to lines (as sets) is given by an affine map. We consider an analogous characterization of affine automorphisms for compact quotients, and establish it for tori: A bijection o…
Graphical normalizing flows use Bayesian networks to improve normalizing flows' interpretability and performance.
For all , we construct a canonical bijection between the space of ramified coverings of the sphere and the space of complete immersed surfaces in -dimensional hyperbolic space of finite area and of constant extrinsic curvature equal to . We show, furthermore, that this bijection restricts to a homeomor…
Improved sampling quality with RBM-Flow and D-Flow models.
Let be a topological space and a bijection. Let be a set of integers such that an integer is an element of if and only if the bijection is continuous. A subset of the set of integers is said to be realizable if there is a topologi…
We introduce an equivalence relation, called stable equivalence, on knot diagrams and closed curves on surfaces. We give bijections between the set of abstract knots, the set of virtual knots, and the set of the stable equivalence classes of knot diagrams on surfaces. Using these bijections, we define concordance and l…
New model separates images into independent factors quickly and easily.
We classify the torsion pairs in a tube category and show that they are in bijection with maximal rigid objects in the extension of the tube category containing the Pruefer and adic modules. We show that the annulus geometric model for the tube category can be extended to the larger category and interpret torsion pairs…
We prove that isomorphism classes of principal bundles over a diffeological space are in bijection to certain maps on its free loop space, both in a setup with and without connections on the bundles. The maps on the loop space are smooth and satisfy a "fusion" property with respect to triples of paths. Our bijections a…
New method models intensity functions on spheres using normalizing flows.
Novel mathematical approach using resurgent analysis reveals new structures in complex Chern-Simons theory.
EMFs combine deep learning and probabilistic models for better density estimation.