New algorithm recovers dictionaries with arbitrary supports in polynomial time.
arXiv research
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Improved AMM protocol supports diverse loan maturities in DeFi.
Improved metric indexes support malware analysis by handling insertions and queries in real-time.
Global Chern currents and Baum Bott currents defined on arbitrary complex manifolds.
Develops a new geometric framework for quantum metrics.
Flexible tree ensemble learning framework supports arbitrary loss functions and multi-task learning.
New surfaces with special geodesic and horocycle behaviors discovered.
In this paper there is proposed a generalized version of the SVM for binary classification problems in the case of using an arbitrary transformation x -> y. An approach similar to the classic SVM method is used. The problem is widely explained. Various formulations of primal and dual problems are proposed. For one of t…
New design method improves Lasso performance in sparse regression.
Paper finds inequalities for eigenvalues of buckling problems on special metric spaces.
New algorithm estimates barycenters of distributions using Frank-Wolfe.
We investigate the Berezin integral of non-compactly supported quantities. In the framework of supermanifolds with corners, we give a general, explicit and coordinate-free repesentation of the boundary terms introduced by an arbitrary change of variables. As a corollary, a general Stokes's theorem is derived - here, th…
The present paper develops two concepts of pointwise differentiability of higher order for arbitrary subsets of Euclidean space defined by comparing their distance functions to those of smooth submanifolds. Results include that differentials are Borel functions, higher order rectifiability of the set of differentiabili…
New method finds closest martingale to Brownian motion.
Extends ONNX for quantized neural networks with new formats and operators.
Extends curvature properties to arbitrary closed sets in R^n.
Quadratic differentials on Riemann surfaces uniquely determine foliations.
Unified framework for discrete diffusion modeling with flexible noising processes.
Harmonic maps from surfaces to spheres constructed and studied.
Global existence and convergence of pluriclosed flow on Oeljeklaus-Toma manifolds.
A right-invariant metric on the compactly supported identity component of the group of contactomorphisms of an arbitrary contact manifold is introduced in a similar way that the Hofer metric was defined on the group of Hamiltonian symplectomorphisms of a symplectic manifold. The restriction …
Proves a new law of robustness for interpolating arbitrary data distributions.
Decentralized deep learning improves efficiency with arbitrary compression.
Paper proposes CIV estimator for categorical instruments in small sample settings.
New graph operations for stochastic processes improve model flexibility.
The Teichmüller harmonic map flow deforms both a map from an oriented closed surface into an arbitrary closed Riemannian manifold, and a constant curvature metric on , so as to reduce the energy of the map as quickly as possible [16]. The flow then tries to converge to a branched minimal immersion when it can [1…
We present in this work a new family of kernels to compare positive measures on arbitrary spaces $\Xcal$ endowed with a positive kernel , which translates naturally into kernels between histograms or clouds of points. We first cover the case where $\Xcal$ is Euclidian, and focus on kernels which take into account th…
We consider active, semi-supervised learning in an offline transductive setting. We show that a previously proposed error bound for active learning on undirected weighted graphs can be generalized by replacing graph cut with an arbitrary symmetric submodular function. Arbitrary non-symmetric submodular functions can be…
We consider coupled nonholonomic LR systems on the product of Lie groups. As examples, we study -dimensional variants of the spherical support system and the rubber Chaplygin sphere. For a special choice of the inertia operator, it is proved that the rubber Chaplygin sphere, after reduction and a time reparametrizat…
We consider high dimensional sparse regression, and develop strategies able to deal with arbitrary -- possibly, severe or coordinated -- errors in the covariance matrix . These may come from corrupted data, persistent experimental errors, or malicious respondents in surveys/recommender systems, etc. Such non-stochas…
On some specified convex supporting sets of spheres, we find a generalized longitude function whose level sets are totally geodesic. Given an arbitrary (weakly) harmonic map into spheres, the composition of the generalized longitude function and harmonic map satisfies an elliptic equation of divergence type. With the a…
The main purposes of this article are to extend our previous results on homogeneous sprays to arbitrary (generalized) sprays, to show that locally diffeomorphic exponential maps can be defined for any (generalized) spray, and to give a (possibly nonlinear) covariant derivative for any (possibly nonlinear) connection. I…
Algorithm finds small confidence sets for arbitrary distributions.
The study examines how hyperparameters affect prediction discrepancies in machine learning models.
A quantum-inspired classical algorithm speeds up LS-SVM classification.
New method disentangles correlated factors without independence assumption.
Let be the open unit disc in the Euclidean plane and let be the group of smooth compactly supported area-preserving diffeomorphisms of . We investigate the properties of G endowed with the autonomous metric. In particular, we construct a bi-Lipschitz homomorphism of a…
Constrained Willmore surfaces are conformal immersions of Riemann surfaces that are critical points of the Willmore energy under compactly supported infinitesimal conformal variations. Examples include all constant mean curvature surfaces in space forms. In this paper we investigate more generally the crit…
An old conjecture of Durfee 1978 bounds the ratio of two basic invariants of complex isolated complete intersection surface singularities: the Milnor number and the singularity (or geometric) genus. We give a counterexample for the case of non-hypersurface complete intersections, and we formulate a weaker conjecture va…
Learning linear combinations of multiple kernels is an appealing strategy when the right choice of features is unknown. Previous approaches to multiple kernel learning (MKL) promote sparse kernel combinations to support interpretability and scalability. Unfortunately, this 1-norm MKL is rarely observed to outperform tr…
New methods predict drug interactions using drug co-medication patterns and graph matching.
New method provides calibrated feature importance explanations for regression models.
We describe explicit open books on arbitrary plumbings of oriented circle bundles over closed oriented surfaces. We show that, for a non-positive plumbing, the open book we construct is horizontal and the corresponding compatible contact structure is also horizontal and Stein fillable. In particular, we describe horizo…
We consider solutions to the linear wave equation on a non-extremal maximally extended Schwarzschild-de Sitter spacetime arising from arbitrary smooth initial data prescribed on an arbitrary Cauchy hypersurface. (In particular, no symmetry is assumed on initial data, and the support of the solutions may con…
The generalization error of deep neural networks via their classification margin is studied in this work. Our approach is based on the Jacobian matrix of a deep neural network and can be applied to networks with arbitrary non-linearities and pooling layers, and to networks with different architectures such as feed forw…
The study proves properties of 4D projective manifolds and builds non-hyperbolic examples.
Paper extends cohomology classes and holomorphic sections on subvarieties.
Bourgeois structures are tight in 5D and provide symplectic fillability obstructions.