Coordinate Difference Matrices

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Using (Formula presented) (Formula presented) events collected with the BESIII detector operating at the BEPCII collider, we have observed the decay (Formula presented) for the first time with a statistical significance of (Formula presented). Its branchin ...

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This paper presents the new 2D electrostatic particle -in -cell code FENNECS developed to study the formation of magnetized non -neutral plasmas in geometries with azimuthal symmetry. This code has been developed in the domain of gyrotron electron gun desi ...

The local undercut defects at the weld toe provide a potential initiation site for fatigue cracks and significantly impact the structure's fatigue strength. The influence of continuous undercut depth on fatigue performance is widely studied, but the resear ...

Orthogonal group synchronization is the problem of estimating n elements Z(1),& mldr;,Z(n) from the rxr orthogonal group given some relative measurements R-ij approximate to Z(i)Z(j)(-1). The least-squares formulation is nonconvex. To avoid its local minim ...

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Silicate glasses have played a major role as structural and functional materials in human civilization since ancient Egypt. Despite their widespread use and importance in modern society, silica glasses with complex geometries are only fabricated in automat ...

The ITER Electron Cyclotron Resonance Heating and Current Drive (ECRH&CD) system relies on 1 MW 170 GHz Gyrotrons to provide the mm-wave power needed for plasma heating, current drive, and magneto-hydrodynamic control. The design and modeling of the contro ...

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Some implications of absolute geometries in the description of complex systems dynamics, at various scale resolutions are highlighted. In such context, by means of an analytic geometry of 2 x 2 matrices, a generalization of the standard velocities space in ...

The theory underlying robust distributed learning algorithms, designed to resist adversarial machines, matches empirical observations when data is homogeneous. Under data heterogeneity however, which is the norm in practical scenarios, established lower bo ...

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

Functional connectomes (FCs) containing pairwise estimations of functional couplings between pairs of brain regions are commonly represented by correlation matrices. As symmetric positive definite matrices, FCs can be transformed via tangent space projecti ...

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We study the problem of estimating an unknown function from noisy data using shallow ReLU neural networks. The estimators we study minimize the sum of squared data-fitting errors plus a regularization term proportional to the squared Euclidean norm of the ...

Coordinate Difference Matrices

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Study of the decay (Formula presented)

Cochains are all you need

Technology challenges and integration of the plasma position reflectometer in RFX-mod2

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Strain-based analysis on the influence of local undercut geometry on fatigue crack initiation life

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

Incorporating Projective Geometry into Deep Learning

Multimaterial Volumetric Printing of Silica-Based Glasses

Sensitivity Analysis of the Lumped Thermal Model of the EU 170 GHz Gyrotron Magnetron Injection Gun

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices

A multi scale consolidation model for press moulding of hybrid textiles into complex geometries

A structured prediction approach for robot imitation learning

Some Physical Implications Of Absolute Geometries In The Description Of Complex Systems Dynamics

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Tangent functional connectomes uncover more unique phenotypic traits

Persistence and the Sheaf-Function Correspondence

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks