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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.

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17 results for H-function

For links with vanishing pairwise linking numbers, the link components bound pairwise disjoint surfaces in B4B^{4}. In this paper, we describe the set of genera of such surfaces in terms of the hh-function, which is a link invariant from Heegaard Floer homology. In particular, we use the hh-function to give lower bou…

2018-05-05abs ↗pdf ↗

The paper explores fibered and quasi-positive links, introducing new families and invariants.

problem Understanding the structure of LL-space links and their properties.
method Using the H-function as a concordance link invariant.
result Introduced a subfamily of fibered strongly quasi-positive LL-space links and an infinite family of non-quasi-positive LL-space links.

It it known that the set of L-space surgeries on a nontrivial L-space knot is always bounded from below. However, already for two-component torus links the set of L-space surgeries might be unbounded from below. For algebraic two-component links we provide three complete characterizations for the boundedness from below…

2015-09-03abs ↗pdf ↗

An immersed concordance between two links is a concordance with possible self-intersections. Given an immersed concordance we construct a smooth four-dimensional cobordism between surgeries on links. By applying dd-invariant inequalities for this cobordism we obtain inequalities between the HH-functions of links, whi…

2016-01-27abs ↗pdf ↗

New method aligns diffusion models for inference-time properties without retraining.

problem Aligning pre-trained diffusion models for desired inference-time properties.
method Variationally stable Doob's matching for provable guidance estimation.
result Consistent estimator of guidance with non-asymptotic convergence guarantees.

We introduce the coupled Ricci-Calabi functional and the coupled H-functional which measure how far from a coupled Kähler-Einstein metric in the sense of Hultgren-Witt Nyström. We first give corresponding moment weight type inequalities which estimate each functional in terms of algebraic invariants. Secondly, we give …

2019-05-14abs ↗pdf ↗

We compute different versions of link Floer homology HFLHFL^{-} and HFL^\widehat{HFL} for any LL-space link with two components. The main approach is to compute the hh-function of the filtered chain complex which is determined by the Alexander polynomials of every sublink of the LL-space link. As an application, Thurst…

2017-04-08abs ↗pdf ↗

Study area and coarea formulas for graphs and submanifolds in Carnot groups.

problem Understanding geometric properties of submanifolds in Carnot groups.
method Developed area and coarea formulas for CH1C^1_H intrinsic graphs and submanifolds.
result Deduced density properties for Hausdorff measures and coarea formula for Carnot groups.

Paper proves Łojasiewicz inequalities near simple bubble trees on surfaces.

problem Proving Łojasiewicz inequalities for critical points on surfaces.
method Deriving sufficient conditions for Łojasiewicz inequalities near almost-critical points in a Hilbert space.
result Sequences of almost critical points satisfy Łojasiewicz inequalities as they approach the first non-trivial bubble tree.

Unique K-polystable degenerations for Fano varieties confirmed.

problem Algebraic uniqueness of Kähler-Ricci flow limits on Fano manifolds.
method Study of optimal degeneration problems via new functionals of real valuations.
result Confirm algebraic uniqueness of Kähler-Ricci flow limits on Fano manifolds.

We prove that on Fano manifolds, the Kähler-Ricci flow produces a "most destabilising" degeneration, with respect to a new stability notion related to the H-functional. This answers questions of Chen-Sun-Wang and He. We give two applications of this result. Firstly, we give a purely algebro-geometric formula for the su…

2016-12-21abs ↗pdf ↗

Efficiently reduces computational burden of rollout acquisition functions in Bayesian optimization.

problem Expensive computation of rollout acquisition functions in Bayesian optimization.
method Combines quasi-Monte Carlo, common random numbers, and control variates to reduce computational burden. Formulates a policy-search approach to eliminate the need to optimize the rollout acquisition function.
result Significant reduction in computational burden of rollout acquisition functions.