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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.

169,181 papers · 148 categories

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90179269358 · Jun 202019922001200920182026
48 results for EH class

This work optimizes DNN inference for energy-harvesting devices by compressing and selectively executing neural network exits.

problem Inference delays and energy inefficiency in energy-harvesting devices.
method Developed a power trace-aware and exit-guided network compression algorithm for multi-exit neural networks.
result Superior accuracy and reduced latency compared to state-of-the-art techniques.

Study Kähler-Einstein manifolds with holomorphic isometries into blow-ups of complex spaces.

problem Characterizing Kähler-Einstein manifolds with holomorphic isometries into specific blow-ups.
method Analyzing properties of Kähler-Einstein manifolds and their isometries into generalized Burns-Simanca and Eguchi-Hanson manifolds.
result Generalized Burns-Simanca and Eguchi-Hanson manifolds are not relatives to any homogeneous bounded domain.

Paper develops a distributed power control method for large energy harvesting networks using deep reinforcement learning.

problem Optimal power control for large energy harvesting networks with limited causal information.
method Multi-agent reinforcement learning framework to solve a mean-field game problem.
result Proposed method converges to optimal power control policies in a distributed fashion.

In the limit 0\hbar\to 0, we analyze a class of Schrödinger operators H=2L+W+VidH_\hbar = \hbar^2 L + \hbar W + V\cdot \mathrm{id} acting on sections of a vector bundle Eh\mathcal{Eh} over a Riemannian manifold MM where LL is a Laplace type operator, WW is an endomorphism field and the potential energy VV has a non-degene…

2013-09-17abs ↗pdf ↗

Insurance and annuity products covering several lives require the modelling of the joint distribution of future lifetimes. In the interest of simplifying calculations, it is common in practice to assume that the future lifetimes among a group of people are independent. However, extensive research over the past decades …

2016-01-17abs ↗pdf ↗

We prove the equivalence of the invariants EH(L) and LOSS-(L) for oriented Legendrian knots L in the 3-sphere equipped with the standard contact structure, partially extending a previous result by Stipsicz and Vertesi. In the course of the proof we relate the sutured Floer homology groups associated with a knot complem…

2014-04-04abs ↗pdf ↗

We consider compact homogeneous spaces G/H of positive Euler characteristic endowed with an invariant almost complex structure J and the canonical action θof the maximal torus T ^{k} on G/H. We obtain explicit formula for the cobordism class of such manifold through the weights of the action θat the identity fixed poin…

2007-08-15abs ↗pdf ↗

We define the action of the homology group H1(M,M)H_1(M,\partial M) on the sutured Floer homology SFH(M,γ)SFH(M,γ). It turns out that the contact invariant EH(M,γ,ξ)EH(M,γ,ξ) is usually sent to zero by this action. This fact allows us to refine an earlier result proved by Ghiggini and the author. As a corollary, we classify knots in $#^…

2010-10-14abs ↗pdf ↗

New algorithm explores reinforcement learning with noisy data.

problem Exploration in reinforcement learning with complex value functions.
method Randomized exploration with i.i.d. scalar noises and optimistic reward sampling.
result Achieves worst-case regret bound of O~(poly(dEH)T)\widetilde{O}(\mathrm{poly}(d_EH)\sqrt{T}).

A compact Riemannian homogeneous space G/HG/H, with a bi--invariant orthogonal decomposition g=h+m\mathfrak{g}=\mathfrak{h}+\mathfrak{m} is called positively curved for commuting pairs, if the sectional curvature vanishes for any tangent plane in TeH(G/H)T_{eH}(G/H) spanned by a linearly independent commuting pair in $\mathfrak{…

2015-02-10abs ↗pdf ↗

Iterative method finds Hermitian-Einstein metrics on stable bundles.

problem Finding Hermitian-Einstein metrics on stable bundles over Kähler or Gauduchon manifolds.
method Iterative construction using a specific metric update formula.
result Smooth convergence to a Hermitian-Einstein metric from any initial metric.

The study explores Legendrian invariants and half Giroux torsion in contact structures.

problem Understanding Legendrian invariants and their behavior with half Giroux torsion.
method Analysis of Legendrian links with non-vanishing contact invariants and the study of half Giroux torsion.
result Null-homologous links with irreducible complements have non-loose Legendrian realizations with non-zero invariants.

UCB-TQL learns from multiple tasks with shared dynamics and adapts to task-specific variations.

problem Transfer reinforcement learning with composite MDPs where tasks share core dynamics but have sparse differences.
method UCB-TQL, a novel transfer RL algorithm for composite MDPs.
result Achieved a regret bound of ildeO(eH5N) ilde{O}(\sqrt{eH^5N}) that scales independently of the ambient dimension.

Classifies manifolds with dense conjugacy classes in their mapping class groups.

problem Classifying manifolds based on conjugacy classes in their mapping class groups.
method Analyzing connected orientable 2-manifolds and their mapping class groups.
result Mapping class groups of certain manifolds have dense conjugacy classes.

This paper tackles worst-class error rate in classification tasks.

problem Minimizing worst-class error rate in classification tasks, especially in medical image classification.
method Designing a boosting approach to bound the worst-class error rate using Deep Neural Networks (DNNs).
result The proposed boosting approach lowers worst-class test error rates while avoiding overfitting.

One of the earliest conjectures in computational learning theory-the Sample Compression conjecture-asserts that concept classes (equivalently set systems) admit compression schemes of size linear in their VC dimension. To-date this statement is known to be true for maximum classes---those that possess maximum cardinali…

2014-01-29abs ↗pdf ↗

Paper constructs a cohomology class related to McDuff's secondary class, proving it transgresses to the Euler class of foliated sphere bundles.

problem Finding higher-dimensional analogs of the Calabi invariant and its transgression to the Euler class.
method Constructing a cohomology class of volume-preserving diffeomorphisms and proving transgression to the Euler class of foliated sphere bundles.
result The cohomology class transgresses to the Euler class of foliated sphere bundles.

A new method learns features for one-class classification using intra-class splitting.

problem Challenges in one-class classification due to limited normal class samples.
method Intra-class splitting and joint training of typical and atypical samples with loss functions.
result The method outperforms other models in one-class classification tasks.

The paper proves inequalities for orbifold second Chern classes in Fujiki's class.

problem Inequalities for orbifold second Chern classes of compact normal analytic varieties.
method Generic nefness theorems for tangent and cotangent sheaves, and an orbifold Bogomolov--Gieseker inequality for mixed polarizations.
result Semipositivity of the orbifold second Chern class for varieties with nef anti-canonical divisor.

Study on characteristic classes for foliation deformations.

problem Characterizing and understanding characteristic classes for foliation deformations.
method Introduced a differential graded algebra (DGA) to recover Bott vanishing and formulae, and discussed properties of its cohomology.
result Discovered new classes that cannot be described by existing classes like Godbillon--Vey and Fuks--Lodder--Kotschick.

The hyperelliptic mapping class group has been studied in various contexts within topology and algebraic geometry. What makes this study tractable is that there is a surjective map from the hyperelliptic mapping class group to a mapping class group of a punctured sphere. The more general family of superelliptic mapping…

2016-04-13abs ↗pdf ↗

CILF learns adaptive embeddings for class-incremental learning with novel class detection and model update.

problem Handling unknown classes and model update in streaming data with new classes.
method CILF uses decoupled prototype based loss for intra-class and inter-class structure improvement, and a learnable curriculum clustering operator for adaptive embedding.
result CILF effectively detects multiple novel classes and mitigates embedding confusion, while updating the model without catastrophic forgetting.

A new method identifies class-specific covariates in multi-class prediction tasks.

problem Identifying covariates specifically associated with one or more outcome classes in multi-class prediction tasks.
method Introducing multi forests (MuFs) with multi-way and binary splits to measure class-associated discriminatory ability.
result The multi-class VIM specifically ranks class-associated covariates highly, unlike conventional VIMs.

In this paper we give explicit formulas of differential characteristic classes of principal GG-bundles with connections and prove their expected properties. In particular, we obtain explicit formulas for differential Chern classes, differential Pontryagin classes and differential Euler class. Furthermore, we show that…

2013-11-15abs ↗pdf ↗

Paper shows mapping classes are largely determined by their finite quotient actions.

problem Understanding the equivalence of mapping classes based on their finite quotient actions.
method Analyzes procongruent conjugacy classes and their dependence on finite quotients.
result Procongruent conjugacy classes are largely determined by their finite quotient actions.

Study of conjugacy classes in infinite-type surfaces' mapping class groups.

problem Characterizing conjugacy classes in infinite-type surfaces' mapping class groups.
method Model-theoretic methods developed by Kechris, Rosendal, and Truss.
result Detailed classification of conjugacy classes in mapping class groups of infinite-type surfaces.

The paper classifies dense conjugacy classes in mapping class groups of locally finite graphs.

problem Identifying which mapping class groups have dense conjugacy classes.
method Developed flux homomorphisms and combinatorial criteria for stability.
result A complete classification for self-similar locally finite graphs and a criterion for stability.

We give a complete description of conjugacy classes of finite subgroups of the mapping class group of the sphere with r marked points. As a corollary we obtain a description of conjugacy classes of maximal finite subgroups of the hyperelliptic mapping class group. In particular, we prove that for a fixed genus g there …

2005-10-11abs ↗pdf ↗

A simple framework predicts unseen classes using exponential family distributions.

problem Learning to predict previously unseen classes.
method Estimating class-attribute-gated class-conditional distributions modeled as exponential families.
result Natural representation of classes as probability distributions, leveraging unlabeled data.

CP-GAN generates images selectively conditioned on class specificity, capturing between-class relationships.

problem Generating images selectively conditioned on class specificity in class-overlapping data.
method Proposed Classifier's Posterior GAN (CP-GAN) that redesigns generator input and objective function for class-overlapping data.
result Demonstrated effectiveness of CP-GAN using both controlled and real-world class-overlapping data.

For a local Lie group M we define odd order cohomology classes. The first class is an obstruction to globalizability of the local Lie group. The third class coincides with Godbillon-Vey class in a particular case. These classes are secondary as they emerge when curvature vanishes.

2009-12-04abs ↗pdf ↗

This research sets limits on how complex multi-class learning problems can be.

problem Understanding the complexity of multi-class classification problems.
method Established upper bounds on Natarajan dimensions for specific function classes.
result Upper bounds on Natarajan dimensions for multi-class decision trees, random forests, and neural networks.

Characteristic classes of oriented vector bundles can be identified with cohomology classes of the disjoint union of classifying spaces BSO_n of special orthogonal groups SO_n with n=0,1,... A characteristic class is stable if it extends to a cohomology class of a homotopy colimit BSO of classifying spaces BSO_n. Simil…

2009-10-25abs ↗pdf ↗

The paper analyzes how well classes are separated in neural network feature space.

problem Understanding class separability in neural network feature space.
method Theoretical analysis of intra-class and inter-class distances in feature space.
result A lower bound for the probability of inter-class distance being greater than intra-class distance as a function of loss value.