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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.

169,051 papers · 148 categories

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48 results for Front end

We shall investigate flat surfaces in hyperbolic 3-space with admissible singularities, called `flat fronts'. An Osserman-type inequality for complete flat fronts is shown. When equality holds in this inequality, we show that all the ends are embedded. Moreover, we shall give new examples for which equality holds.

2003-01-21abs ↗pdf ↗

It is classically known that complete flat surfaces in Euclidean 3-space are cylinders over space curves. This implies that the study of global behaviour of flat surfaces requires the study of singular points as well. If a flat surface ff admits singularities but its Gauss map νν can be smoothly extended across the s…

2006-05-23abs ↗pdf ↗

FixyNN splits CNN models into fixed and trainable parts for efficient on-device inference.

problem Energy inefficiency in on-device CNN inference for real-time computer vision.
method Co-designed hardware accelerator platform with transfer learning for training.
result Achieved nearly 2x better energy efficiency than a conventional accelerator.

The paper introduces a method to make neural networks more robust to adversarial attacks.

problem Vulnerability of deep neural networks to small, adversarially designed perturbations.
method A bottom-up strategy using a nonlinear front end that polarizes and quantizes data.
result The approach can completely eliminate adversarial perturbations on MNIST and Fashion MNIST datasets.

It is by now well-known that small adversarial perturbations can induce classification errors in deep neural networks (DNNs). In this paper, we make the case that sparse representations of the input data are a crucial tool for combating such attacks. For linear classifiers, we show that a sparsifying front end is prova…

2018-03-11abs ↗pdf ↗

Novel CNN integrates learnable FIR filters for heart sound detection.

problem Automatic detection of heart sound abnormalities for early diagnosis.
method Proposes a CNN with tConv layers to learn FIR filter-bank parameters.
result Proposed models outperform state-of-the-art systems in heart sound detection.

WaveLSFormer learns profitable trading policies from financial time series data.

problem Challenges in learning profitable intraday trading policies from financial time series data.
method WaveLSFormer uses a learnable wavelet-based long-short Transformer to jointly perform multi-scale decomposition and return-oriented decision learning.
result WaveLSFormer consistently outperforms MLP, LSTM, and Transformer backbones in trading performance.

GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end. The distinguishing features of GPflow are that it uses variational inference as the primary approximation method, provides concise code through the use of automatic differentiation, has been engineered with…

2016-10-27abs ↗pdf ↗

We provide complete source code for a front-end GUI and its back-end counterpart for a stock market visualization tool. It is built based on the "functional visualization" concept we discuss, whereby functionality is not sacrificed for fancy graphics. The GUI, among other things, displays a color-coded signal (computed…

2018-02-11abs ↗pdf ↗

We study a simple model of bicycle motion: a segment of fixed length in multi-dimensional Euclidean space, moving so that the velocity of the rear end is always aligned with the segment. If the front track is prescribed, the trajectory of the rear wheel is uniquely determined via a certain first order differential equa…

2017-05-17abs ↗pdf ↗

MTCNet uses MTL to estimate crowd density and count.

problem Crowd count estimation challenges due to scale variations and perspective.
method MTL deep neural network architecture with two tasks: density estimation and count classification.
result Achieves lower MAE than state-of-the-art methods on multiple datasets.

After Galvez, Martinez and Milan discovered a (Weierstrass-type) holomorphic representation formula for flat surfaces in hyperbolic 3-space, the first, third and fourth authors here gave a framework for complete flat fronts with singularities in H^3. In the present work we broaden the notion of completeness to weak com…

2005-11-01abs ↗pdf ↗

Study focal surfaces of wave fronts with unbounded curvatures.

problem Characterizing singularities of focal surfaces near non-degenerate singular points.
method Characterizations based on types of singularities and geometrical properties of initial fronts.
result Investigation of Gaussian curvature behavior of focal surfaces.

The study classifies certain types of incomplete surfaces with low curvature.

problem Classifying incomplete affine spheres with specific curvature constraints.
method Analyzing total curvature and asymptotic behavior of surfaces.
result New examples of incomplete affine spheres with positive genus found.

Bayesian optimization targets specific regions of the Pareto front in expensive multi-objective problems.

problem Finding the entire Pareto optimal set is impractical for expensive functions.
method Modified Bayesian multi-objective optimization using Gaussian Processes and targeting strategy.
result Efficient convergence to preferred regions of the Pareto front.

We characterize singularities of focal surfaces of wave fronts in terms of differential geometric properties of the initial wave fronts. Moreover, we study relationships between geometric properties of focal surfaces and geometric invariants of the initial wave fronts.

2018-04-17abs ↗pdf ↗

Cuspidal edges and swallowtails are typical non-degenerate singular points on wave fronts in the Euclidean 33-space. Their first fundamental forms belong to a class of positive semi-definite metrics called "Kossowski metrics". A point where a Kossowski metric is not positive definite is called a singular point or a se…

2017-10-09abs ↗pdf ↗

RoyalFlush system improves multi-speaker ASR in M2MeT challenge.

problem Improving multi-speaker automatic speech recognition in noisy environments.
method Front-end processing with WPE and beamforming, data augmentation, and fusion of two ASR models.
result 12.22% absolute CER reduction on validation set and 12.11% on test set compared to baseline.

PFOPS extends PFO to multi-objective optimization.

problem Current PFO algorithms only handle single-objective optimization; real problems often require multiple objectives.
method PFOPS uses path sampling to balance multiple objectives within the PFO framework.
result PFOPS successfully handles convex, concave, and discontinuous Pareto fronts in MOO experiments.

Study D4D_4^--front singularities, compute invariants, and derive a Gauss-Bonnet theorem.

problem Characterize and analyze D4D_4^--front singularities in 3D space.
method Develop coordinate transformations and isometries, compute differential invariants.
result Derive a Gauss-Bonnet type theorem for D4D_4^--fronts.

We give criteria for which a principal curvature becomes a bounded CC^\infty-function at non-degenerate singular points of wave fronts by using geometric invariants. As applications, we study singularities of parallel surfaces and extended distance squared functions of wave fronts. Moreover, we relate these singularit…

2016-12-02abs ↗pdf ↗

FDR criterion simplifies complex causal graphs to a standard front-door setting.

problem Complex causal graphs make identification of causal effects difficult and computationally infeasible.
method Front-door reducibility (FDR) criterion and FDR-TID algorithm.
result Many graphs can be simplified to a standard front-door setting, making causal effect identification simpler and more interpretable.

Novel NAS method balances performance and hardware metrics efficiently.

problem Challenging multi-objective optimization in neural architecture search.
method Parameterizes joint architectural distribution via hypernetwork conditioned on hardware features and preferences.
result Zero-shot transferability to new devices with representative and diverse architectures.

In this paper, we investigate the asymptotic behavior of regular ends of flat surfaces in the hyperbolic 3-space H^3. Galvez, Martinez and Milan showed that when the singular set does not accumulate at an end, the end is asymptotic to a rotationally symmetric flat surface. As a refinement of their result, we show that …

2007-08-02abs ↗pdf ↗

Recently Arnold's $\St$ and J±J^{\pm} invariants of generic planar curves have been generalized to the case of generic planar wave fronts. We generalize these invariants to the case of wave fronts on an arbitrary surface FF. All invariants satisfying the axioms which naturally generalize the axioms used by Arnold are …

1999-01-28abs ↗pdf ↗

This research focuses on optimizing expensive computer experiments with multiple objectives, targeting the central part of the Pareto front.

problem Optimizing complex systems with limited experiments and conflicting objectives.
method A Bayesian multi-objective optimization method that directs the search towards the central part of the Pareto front.
result The method, C-EHI, better locates the central part of the Pareto front compared to state-of-the-art algorithms.

It is well-known that the unit cotangent bundle of any Riemannian manifold has a canonical contact structure. A surface in a Riemannian 3-manifold is called a (wave) front if it is the projection of a Legendrian immersion into the unit cotangent bundle. We shall give easily-computable criteria for a singular point on a…

2004-01-12abs ↗pdf ↗

Two wave fronts W1W_1 and W2W_2 that originated at some points of the manifold MnM^n are said to be causally related if one of them passed through the origin of the other before the other appeared. We define the causality relation invariant CR(W1,W2)CR (W_1, W_2) to be the algebraic number of times the earlier born front pass…

2002-07-24abs ↗pdf ↗

In this note we present a description of wave front evolving from an algebraic hypersurface by means of a pull-back of the discriminantal loci of a tame polynomial via a polynomial mapping. As an application we give examples of wave fronts which define free/almost free divisors near the focal point.

2010-09-29abs ↗pdf ↗

Study finds rigid submanifolds in spacelike waves under specific conditions.

problem Understanding rigidity of submanifolds in spacelike waves.
method Proves submanifolds are contained in characteristic lightlike hypersurfaces under certain conditions.
result Complete codimension two submanifolds are wavefronts under specific conditions.

We give a definition of `coherent tangent bundles', which is an intrinsic formulation of wave fronts. In our application of coherent tangent bundles for wave fronts, the first fundamental forms and the third fundamental forms are considered as induced metrics of certain homomorphisms between vector bundles. They satisf…

2009-10-19abs ↗pdf ↗