Study bounds the index of minimal submanifolds using energy measures and Yang-Mills-Higgs equations.
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In this article we study the second variation of the energy functional associated to the Allen-Cahn equation on closed manifolds. Extending well known analogies between the gradient theory of phase transitions and the theory of minimal hypersurfaces, we prove the upper semicontinuity of the eigenvalues of the stability…
Study on combustion theory solutions, proving nondegeneracy and stability in limit.
The paper studies knot quandles and their cohomology, proving infinite dimensionality results.
Study on renormalized volume of minimal submanifolds in Poincare-Einstein manifolds.
This research improves multimodal systems by adding a second objective and regularisation methods.
We point out that the Homfly polynomial (that is to say, Ocneanu's trace functional) contains two polynomial-valued inner products on the Hecke algebra representation of Artin's braid group. These bear a close connection to the Morton-Franks-Williams inequality. In these structures, the sets of positive, respectively n…
We show how the Dixon's system of first order equations of motion for the particle with inner dipole structure together with the side Mathisson constraint follows from rather general construction of the 'Hamilton system' developed by Weyssenhoff, Rund and Grässer to describe the phase space counterpart of the evolution…
A new algorithm tackles bilevel optimization with multiple inner minima.
The object of study of this article is compact surfaces in the three-dimensional hyperbolic space with a positive-definite second fundamental form. It is shown that several conditions on the Gaussian curvature of the second fundamental form can be satisfied only by extrinsic spheres.
Paper proposes a new method to optimize feature coordinates for better image classification.
We discuss the asymptotic lower bound on the inner radius of nodal domains that arise from Laplacian eigenfunctions on a closed Riemannian manifold . First, in the real-analytic case we present an improvement of the currently best known bounds, due to Mangoubi (\cite{Man1}). Furthermore, using recent re…
Inner product-based convolution has been a central component of convolutional neural networks (CNNs) and the key to learning visual representations. Inspired by the observation that CNN-learned features are naturally decoupled with the norm of features corresponding to the intra-class variation and the angle correspond…
Semi-Implicit Variational Inference (SIVI) is improved with SIVI-SM using score matching.
We introduce the variational graph auto-encoder (VGAE), a framework for unsupervised learning on graph-structured data based on the variational auto-encoder (VAE). This model makes use of latent variables and is capable of learning interpretable latent representations for undirected graphs. We demonstrate this model us…
A new variational inference method using Gaussian score matching.
Proves continuity and singular set dimension for 2D maps with Q values.
Improved UIVI method shows better performance than state-of-the-art SIVI methods.
In Riemann geometry, the relations among two transversal submanifolds and global manifold are discussed. By replacing the normal vector of a submanifold with the tangent vector of another submanifold, the metric tensors, Christoffel symbols and curvature tensors of the three manifolds are linked together. When the inne…
We derive the first and second variation formula for the Green's function pole's value of Paneitz operator on the standard three sphere. In particular it is shown that the first variation vanishes and the second variation is nonpositively definite. Moreover, the second variation vanishes only at the direction of confor…
Computes quandle associated groups using group homology.
Study the stability of membranes using Helfrich energy and second variation formula.
This paper consists of two parts. First, motivated by classic results, we determine the subsets of a given nilpotent Lie algebra (respectively, of the Grassmannian of two-planes of ) whose sign of Ricci (respectively, sectional) curvature remains unchanged for an arbitrary choice of a posit…
Black-box variational inference tries to approximate a complex target distribution though a gradient-based optimization of the parameters of a simpler distribution. Provable convergence guarantees require structural properties of the objective. This paper shows that for location-scale family approximations, if the targ…
Derives Lagrangian for minimal surfaces, proving tangential variations vanish.
We show a very simple and general total second variation formula for Perelman's -functional at arbitrary points in the space of Riemannian metrics. Moreover we perform a study of the properties of the variations of Kähler structures. We deduce a quite simple and general total second variation formula for P…
Paper proposes a second-order method for faster SVI convergence.
SOAR improves deep networks' robustness against adversarial examples.
New methods model gamma-ray data to better understand Galactic emissions.
Author presents the second variational formula for statistical biharmonic maps.
Improved Kalman filtering with hierarchical variational approach.
Paper derives second variational formula for statistical manifold mappings.
Study variational problems for integral invariants of maps between pseudo-Riemannian manifolds.
A method to robustly federate learning with non-i.i.d. data and Byzantine workers.
We compute the second variation of the Ricci expander entropy and briefly discuss the linear stability of compact negative Einstein manifolds.
Improved diffusion sampling for inverse problems with faster and more robust inference.
The paper calculates variations of Einstein-Hilbert action on CR manifolds.
We show that on a surface locally every affine torsion-free connection is projectively equivalent to a Weyl connection. First, this is done using exterior differential system theory. Second, this is done by showing that the solutions of the relevant PDE are in one-to-one correspondence with the sections of the `twistor…
The paper is mainly devoted to systematic developments and applications of geometric aspects of second-order variational analysis that are revolved around the concept of parabolic regularity of sets. This concept has been known in variational analysis for more than two decades while being largely underinvestigated. We …
In this paper we provide a detailed proof of the second variation formula, essentially due to Richard Hamilton, Tom Ilmanen and the first author, for Perelman's -entropy. In particular, we correct an error in the stability operator stated in Theorem 6.3 of [2]. Moreover, we obtain a necessary condition for linearly …
We consider the second variational derivative of a given gauge-natural invariant Lagrangian taken with respect to (prolongations of) vertical parts of gauge-natural lifts of infinitesimal principal automorphisms. By requiring such a second variational derivative to vanish, {\em via} the Second Noether Theorem we find t…
We show a quite simple second variation formula for Perelman's -functional along the modified Kähler-Ricci flow over Fano manifolds.
Inverted file and asymmetric distance computation (IVFADC) have been successfully applied to approximate nearest neighbor search and subsequently maximum inner product search. In such a framework, vector quantization is used for coarse partitioning while product quantization is used for quantizing residuals. In the ori…
PVI improves SIVI by directly optimizing ELBO without parametric assumptions.
We introduce TrustVI, a fast second-order algorithm for black-box variational inference based on trust-region optimization and the reparameterization trick. At each iteration, TrustVI proposes and assesses a step based on minibatches of draws from the variational distribution. The algorithm provably converges to a stat…
Schwarzian derivative connects to Euler-Lagrange equations in variational calculus.
A surface M is called p-minimal if one of the coordinate functions is p-harmonic in the inner metric. We show that in the twodimensional case the Gaussian map of such surfaces is quasiconformal. In the case when the surface is a tube we study the geometrical structure of such surfaces. In particularly, we establish the…
We establish a second order smooth variational principle valid for functions defined on (possibly infinite-dimensional) Riemannian manifolds which are uniformly locally convex and have a strictly positive injectivity radius and bounded sectional curvature.