arXiv research

Graph clustering method uses templates to match vertices and outperforms classical methods.

Generative models improve CECT template matching reliability.

Method finds multiple noisy graph templates in large graphs.

Designs a Cellular Automata rule for forming touching loop patterns.

Paper tackles curve pattern identification from fragmented cultural heritage objects.

Hopfield networks improve reaction template prediction for few/zero-shot scenarios.

Improved binning technique boosts nUV measure performance.

A new method for tracking objects using diverse templates.

Two supervised methods classify single-molecule patterns from X-ray imaging.

G2Gs transforms target molecules into reactants without templates, improving accuracy.

Geometric framework explains deep learning performance.

New algorithm tackles adversarial contextual bandits using stochastic smoothing.

CNN-DTW system improves keyword spotting in under-resourced languages.

Templates are branched 2-manifolds with semi-flows used to model `chaotic' hyperbolic invariant sets of flows on 3-manifolds. Knotted orbits on a template correspond to those in the original flow. Birman and Williams conjectured that for any given template the number of prime factors of the knots realized would be boun…

METRO predicts reactions using minimal templates, reducing computational overhead and achieving state-of-the-art results.

Bayesian method learns optimal momentum for landmark matching.

A new KD layer lets student models learn and apply teacher knowledge explicitly.

Unified framework for imitation learning via moment matching.

We consider the use of the Joint Clustering and Matching (JCM) procedure for the supervised classification of a flow cytometric sample with respect to a number of predefined classes of such samples. The JCM procedure has been proposed as a method for the unsupervised classification of cells within a sample into a numbe…

New method to classify simple Smale flows on $S^3$.

Dasgupta and Shulman showed that a two-round variant of the EM algorithm can learn mixture of Gaussian distributions with near optimal precision with high probability if the Gaussian distributions are well separated and if the dimension is sufficiently high. In this paper, we generalize their theory to learning mixture…

We describe the Williams zeta functions and the twist zeta functions of sub-Lorenz templates generated by renormalizable Lorenz maps, in terms of the corresponding zeta-functions of the sub-Lorenz templates generated by the renormalized map and by the map that determines the renormalization type.

New algorithms minimize regret in SSP with optimal sparse updates.

Neural production systems learn visual dynamics by applying rule templates to entities.

New model predicts chemical reactions with conditional graph logic networks.

With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the rise. Because the problem of cancelable template generation deals with the trade-off between template security and matching performance, many …

A flexible machine learning model infers the morphology of the Galactic Center Excess.

IsoNN learns graph representations without node order constraints.

The fact that the modular template coincides with the Lorenz template, discovered by Ghys, implies modular knots have very peculiar properties. We obtain a generalization of these results to other Hecke triangle groups. In this context, the geodesic flow can never be seen as a flow on a subset of $S^3$, and one is led …

Paper addresses data reconstruction from privacy-protected templates using STCA.

End-to-end neural network improves QbE-STD in multilingual speech search.

GPCDL uses Gaussian Processes to learn smooth templates from data.

SrvfNet aligns multiple functional data to templates without supervision.

Paper introduces template functions for featurizing persistence diagrams.

Adaptive template systems improve feature extraction from persistence diagrams for machine learning.

Generative adversarial network creates motion templates for agent training.

A new matrix factorization method that approximates data without requiring nonnegativity or convexity.

Deep learning improves GW signal detection efficiency and robustness.

Study shows how transformers classify symbols without naming them, proving a margin-versus-collision criterion.

In systems biomedicine, an experimenter encounters different potential sources of variation in data such as individual samples, multiple experimental conditions, and multi-variable network-level responses. In multiparametric cytometry, which is often used for analyzing patient samples, such issues are critical. While c…

Robust visual tracking for long video sequences is a research area that has many important applications. The main challenges include how the target image can be modeled and how this model can be updated. In this paper, we model the target using a covariance descriptor, as this descriptor is robust to problems such as p…

A new protocol corrects confounding effects to measure alignment-induced activation shifts accurately.

We construct a template with two ribbons that describes the topology of all periodic orbits of the geodesic flow on the unit tangent bundle to any sphere with three cone points with hyperbolic metric. The construction relies on the existence of a particular coding with two letters for the geodesics on these orbifolds.

Models learn spatial templates from implicit language, predicting spatial arrangements with high accuracy.

MAGIC generates image collages from set templates using attention and set representations.

Framework uses expert intervention to solve long-horizon reinforcement learning tasks.

We use tools from geometric statistics to analyze the usual estimation procedure of a template shape. This applies to shapes from landmarks, curves, surfaces, images etc. We demonstrate the asymptotic bias of the template shape estimation using the stratified geometry of the shape space. We give a Taylor expansion of t…

Paper simplifies link classification in 3-sphere using braids and templates.