arXiv research

New Bayesian method for spectral deconvolution with Poisson noise.

Paper analyzes virtual economies, reducing volatility and inflation.

A new method for virtual drug screening detects top treatments.

We consider actions of non-compact simple Lie groups preserving an analytic rigid geometric structure of algebraic type on a compact manifold. The structure is not assumed to be unimodular, so an invariant measure may not exist. Ergodic stationary measures always exist, and when such a measure has full support, we show…

Study on HYM connections on Kähler manifolds, calculating moduli space virtual dimension.

Analyzes a finite set of metrics and functions to determine manifold torsion.

We study subgroups of fundamental groups of real analytic closed 4-manifolds with nonpositive sectional curvature. In particular, we are interested in the following question: if a subgroup of the fundamental group is not virtually free abelian, does it contain a free group of rank two ? The technique involves the theor…

We introduce a notion of intrinsic linking and knotting for virtual spatial graphs. Our theory gives two filtrations of the set of all graphs, allowing us to measure, in a sense, how intrinsically linked or knotted a graph is; we show that these filtrations are descending and non-terminating. We also provide several ex…

We introduce the concept of virtual volatility. This simple but new measure shows how to quantify the uncertainty in the forecast of the drift component of a random walk. The virtual volatility also is a useful tool in understanding the stochastic process for a given portfolio. In particular, and as an example, we were…

Recent studies have shown that the aggregated dynamic flexibility of an ensemble of thermostatic loads can be modeled in the form of a virtual battery. The existing methods for computing the virtual battery parameters require the knowledge of the first-principle models and parameter values of the loads in the ensemble.…

We show that for a rationally inessential orientable closed $n$-manifold $M$ whose fundamental group $π$ is a duality group the macroscopic dimension of its universal cover is strictly less than $n$:$$ \dim_{MC}\Wi M<n.$$ As a corollary we obtain the following 0.1 Theorem. The inequality $ \dim_{MC}\Wi M<n$ holds for t…

New model combines shape and feature-based measures for better time series classification.

Let $({\bf X},ω_{\bf X}^*)$ be a separated, $-2$-shifted symplectic derived $\mathbb C$-scheme, in the sense of Pantev, Toen, Vezzosi and Vaquie arXiv:1111.3209, of complex virtual dimension ${\rm vdim}_{\mathbb C}{\bf X}=n\in\mathbb Z$, and $X_{\rm an}$ the underlying complex analytic topological space. We prove that …

Modern computer vision algorithms typically require expensive data acquisition and accurate manual labeling. In this work, we instead leverage the recent progress in computer graphics to generate fully labeled, dynamic, and photo-realistic proxy virtual worlds. We propose an efficient real-to-virtual world cloning meth…

Develops virtual Morse-Bott indices for four-manifolds, proving inequalities.

This is the first part of a trilogy where we apply the theory of virtual manifold/orbifolds developed by the first named author and Tian to study the Gromov-Witten moduli spaces. In this paper, we resolve the main analytic issue arising from the lack of differentiability of $PSL(2, \C)$-action on spaces of $W^{1, p}$-m…

Study bridges between biquandles, quivers, and virtual link bridge numbers.

New invariants measure entanglement of open curves in 3D space.

Paper proposes a faster method for evaluating DNN hardware and software designs.

The paper improves HER by prioritizing virtual goals and removing misleading samples.

Enhances multi-tag classification using low-dimensional vector representations and virtual data.

We propose a new regularization method based on virtual adversarial loss: a new measure of local smoothness of the conditional label distribution given input. Virtual adversarial loss is defined as the robustness of the conditional label distribution around each input data point against local perturbation. Unlike adver…

Associated to a Thurston map $f: S^2 \to S^2$ with postcritical set $P$ are several different invariants obtained via pullback: a relation on the set of free homotopy classes of curves in $S^2- P$, a linear operator on the free $\R$-module generated by these homotopy classes of curves, a virtual endomorphism on the pur…

In this paper, we study lower bounds on the K-theory of the maximal $C^*$-algebra of a discrete group based on the amount of torsion it contains. We call this the finite part of the operator K-theory and give a lower bound that is valid for a large class of groups, called the "finitely embeddable groups". The class of …

We prove that two-step analytic sub-Riemannian structures on a compact analytic manifold equipped with a smooth measure and Lipschitz Carnot groups satisfy measure contraction properties.

We compute eta invariants of various Dirac type operators on circle bundles over Riemann surfaces via two approaches: an adiabatic approach based on the results of Bismut-Cheeger-Dai and a direct elementary one. These results, coupled with some delicate spectral flow computations are then used to determine the virtual …

Analytical method finds deeper optima in two-layer ReLU networks.

New perspective on Heegaard splittings using square complexes and combinatorial measurements.

New invariant measures how many twists are needed to unknot welded knots.

Given a probability measure on a finitely generated group, its Martin boundary is a way to compactify the group using the Green's function of the corresponding random walk. We give a complete topological characterization of the Martin boundary of finitely supported random walks on relatively hyperbolic groups with virt…

Optimizes Bayesian priors for matrix factorization without posterior inference.

New virtualized Δ-move simplifies virtual knots and links.

Unified geometric perspectives on PDEs, torsion invariants, and moduli theory.

Virtual index cocycles reformulate virtual link invariants.

Handlebody groups are rigid under measure equivalence.

The paper studies strict equivalence in multi-virtual linkoids with new invariants.

New framework for calculating multivariate risk measures using Wishart process.

Analytic proof for minimal rank Sard conjecture.

This is an expository article on the theory of Kuranishi structure and is based on a series of pdf files we uploaded for the discussion of the google group named `Kuranishi' (with its administrator H. Hofer). There we replied to several questions concerning Kuranishi structure raised by K. Wehrheim. At this stage we su…

The study enumerates virtual quandles up to isomorphism.

New virtual version of Thompson's group created to handle virtual knots.

The paper extends CF-moves to classify virtual links of any number of components.

Refines virtual link equality criterion for diagrams with one virtual crossing.

Extend writhe polynomial from virtual knots to multi-virtual knots

New invariants for virtual knots and links defined via quiver representations.

Study virtualized Delta, Sharp, and Pass moves for oriented virtual knots and links.

The virtual unknotting number of a virtual knot is the minimal number of crossing changes that makes the virtual knot to be the unknot, which is defined only for virtual knots virtually homotopic to the unknot. We focus on the virtual knot obtained from the standard (p,q)-torus knot diagram by replacing all crossings o…

Improves reinforcement learning for complex tasks with sparse feedback.