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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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128257385513 · May 202619922001200920172026
48 results for arbitrary conditional flow

Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks. However, a majority of generative modeling approaches are focused solely on the joint distribution p(x)p(x) and utilize models where it is intractable to obtain the conditional distribution of some arbitrary sub…

2019-09-13abs ↗pdf ↗

Dynamic acquisition of features improves predictions with limited data.

problem Limited or uncertain data requires additional relevant information for accurate assessments.
method Proposes models that dynamically acquire new features using conditional mutual information and arbitrary conditional flow.
result Demonstrates superior performance over baselines in multiple settings.

Classifies self-shrinkers in arbitrary dimensions under specific curvature conditions.

problem Classifying self-shrinkers with quadratic pinching conditions.
method Purely elliptic approach using weighted parabolicity, tailored to self-shrinkers.
result Generalized self-shrinking cylinders as solutions under quadratic pinching.

The paper studies Ricci flow on manifolds with boundary, proving existence, uniqueness, and boundary conditions preservation.

problem Ricci flow on manifolds with boundary.
method Proving short-time existence and uniqueness of the solution, and showing boundary conditions preservation.
result The flow preserves natural boundary conditions under certain curvature conditions.

In this paper we investigate the convergence for the mean curvature flow of closed submanifolds with arbitrary codimension in space forms. Particularly, we prove that the mean curvature flow deforms a closed submanifold satisfying a pinching condition in a hyperbolic space form to a round point in finite time.

2011-05-28abs ↗pdf ↗

We recast the Calabi flow in DeGiorgi's language of minimizing movements. We establish the long time existence of minimizing movements for K-energy with arbitrary initial condition. Furthermore we establish some a priori regularity of these solutions, and that sufficiently regular minimizing movements are smooth soluti…

2012-08-13abs ↗pdf ↗

Paper shows how solutions to Allen-Cahn converge to multiphase mean curvature flow.

problem Convergence of Allen-Cahn solutions to multiphase mean curvature flow.
method Conditional convergence result of Allen-Cahn solutions to De Giorgi type BV-solutions of multiphase mean curvature flow.
result De Giorgi type BV-solutions are unique in a weak-strong sense.

We investigate the convergence of the mean curvature flow of arbitrary codimension in Riemannian manifolds with bounded geometry. We prove that if the initial submanifold satisfies a pinching condition, then along the mean curvature flow the submanifold contracts smoothly to a round point in finite time. As a consequen…

2012-03-31abs ↗pdf ↗

We prove the existence of a unique global weak solution to the full bosonic string heat flow from closed Riemannian surfaces to an arbitrary target under smallness conditions on the two-form and the scalar potential. The solution is smooth with the exception of finitely many singular points. Finally, we discuss the con…

2017-10-25abs ↗pdf ↗

Study curves evolving on hypersurfaces with free boundaries, preserving length.

problem Evolution of curves on hypersurfaces with free boundaries.
method Nonlocal evolution equation with nonlinear boundary conditions, short-time existence, uniqueness, and parabolic energy estimates.
result Global existence and convergence to critical points proved.

Study on contracting maps and their rigidity under curvature constraints.

problem Rigidity of contracting maps between manifolds with positive curvature.
method Analysis of curvature pinching and contracting conditions involving singular values.
result Established the relation between curvature pinching and contracting conditions.

In this paper we investigate the rigidity of ancient solutions of the mean curvature flow with arbitrary codimension in space forms. We first prove that under certain sharp asymptotic pointwise curvature pinching condition the ancient solution in a sphere is either a shrinking spherical cap or a totally geodesic sphere…

2019-10-12abs ↗pdf ↗

This study improves state estimation for nonlinear systems using conditional normalizing flows.

problem Performance degradation of traditional filtering algorithms in nonlinear systems with non-Gaussian uncertainty.
method Uses conditional normalizing flows with MLP, transformer, or state-space models for state and parameter estimation.
result Optimal-transport-inspired kinetic loss mitigates overparameterization in flows.

We consider classical curvature flows: 1-parameter families of convex embeddings of the 2-sphere into Euclidean 3-space which evolve by an arbitrary (non-homogeneous) function of the radii of curvature. The associated flow of the radii of curvature is a second order system of partial differential equations which we sho…

2015-03-06abs ↗pdf ↗

We introduce TzK (pronounced "task"), a conditional probability flow-based model that exploits attributes (e.g., style, class membership, or other side information) in order to learn tight conditional prior around manifolds of the target observations. The model is trained via approximated ML, and offers efficient appro…

2018-11-05abs ↗pdf ↗

The paper studies a flow equation on even-dimensional manifolds, proving convergence under critical conditions.

problem Proving convergence of the prescribed QQ-curvature flow equation in critical cases.
method Analyzes the flow equation on arbitrary even-dimensional closed Riemannian manifolds, proving convergence under specific geometric hypotheses.
result Proves convergence of the flow equation when the integral of QQ equals (n1)!Vol(Sn)(n-1)!Vol(S^n), extending previous results.

We verify a conjecture of Perelman, which states that there exists a canonical Ricci flow through singularities starting from an arbitrary compact Riemannian 3-manifold. Our main result is a uniqueness theorem for such flows, which, together with an earlier existence theorem of Lott and the second named author, implies…

2017-09-13abs ↗pdf ↗

In this paper, we prove some convergence theorems for the mean curvature flow of closed submanifolds in the unit sphere Sn+d\mathbb{S}^{n+d} under integral curvature conditions. As a consequence, we obtain several differentiable sphere theorems for certain submanifolds in Sn+d\mathbb{S}^{n+d}.

2012-03-31abs ↗pdf ↗

We study the existence and uniqueness of smooth mean curvature flow, in arbitrary dimension and co-dimension, emanating from so called kk-dimensional (ε,R)(\varepsilon,R) Reifenberg flat sets in Rn\mathbb{R}^n. Our results generalize the ones from a previous paper by the author, in which the co-dimension one case (i.e. $…

2015-08-13abs ↗pdf ↗

Proposes a new RL method to fine-tune flow-based models with arbitrary rewards.

problem Challenges in fine-tuning continuous flow-based generative models with arbitrary reward functions.
method Online Reward-Weighted Conditional Flow Matching with Wasserstein-2 Regularization (ORW-CFM-W2)
result Achieves optimal policy convergence with controllable trade-offs between reward maximization and diversity preservation.

We define a geometric flow that is designed to change surfaces of cylindrical type spanning two disjoint boundary curves into solutions of the Douglas-Plateau problem of finding minimal surfaces with given boundary curves. We prove that also in this new setting and for arbitrary initial data, solutions of the Teichmüll…

2015-01-29abs ↗pdf ↗

New error bounds for flow matching methods using deterministic sampling.

problem Improving the accuracy of flow matching methods for generating probability distributions.
method Derived error bounds for flow matching methods under deterministic sampling conditions.
result Presented error bounds for flow matching methods using L2L^2 loss and regularity conditions.

The paper proves wellposedness of flows on manifolds with bounded geometry.

problem Analyzing wellposedness of nonlinear flows on manifolds of bounded geometry.
method Establishing conditions for the operator to generate an analytic semigroup, proving existence of resolvent, and using geometric microlocal calculus.
result Wellposedness of nonlinear flows on manifolds of bounded geometry is proven.

Study harmonic flow of Spin(7)-structures on compact 8-manifolds.

problem Isometric flow of Spin(7)-structures on compact 8-manifolds.
method Establishing Shi-type estimates, self-similar solutions, monotonicity formula, compactness theorems, and Bryant-type description.
result Conditions for long-time existence and characterisation of singularities.

The paper defines flows on Z\mathbb{Z}-graded manifolds and proves unique maximal flows for vector fields.

problem Lack of a treatment for flows on Z\mathbb{Z}-graded manifolds.
method Definition and proof of maximal flows for vector fields on Z\mathbb{Z}-graded manifolds.
result Every vector field admits a unique maximal flow, with conditions for vector fields invariant under flows and commuting flows.

New method learns PDE solutions from low-fidelity data.

problem Challenges in learning PDE surrogates with scarce data.
method Flow matching in infinite-dimensional space with conditional neural operators.
result Accurately learns PDE solutions across different resolutions and fidelities.