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This paper explores a new version of the Levenberg-Marquardt algorithm used for Tensor Canonical Polyadic (…

Large language models are transforming research on machine learning while galvanizing public debates. Under…

Data augmentation (DA) is a key factor in medical image analysis, such as in prostate cancer (PCa) detectio…

Hawking discovery that black holes can evaporate through radiation emission has posed a number of questions…

In this manuscript we consider optimal control problems of deterministic and stochastic differential equati…

Photoacoustic imaging (PAI) is a novel modality in biomedical imaging technology that combines the rich opt…

This work introduces a novel control strategy called Iterative Linear Quadratic Regulator for Iterative Tas…

The warped conformal symmetries have been found in the covariant phase space of a set of non-trivial diffeo…

Vanishing of the total angular momentum of the electrons occupying all orbitals of a closed shell in an ato…

Matrix-variate distributions are a recent addition to the model-based clustering field, thereby making it p…

Document-level relation extraction (DocRE) is an active area of research in natural language processing (NL…

Spatial audio quality is a highly multifaceted concept, with many interactions between environmental, geome…

The availability of representative datasets is an essential prerequisite for many successful artificial int…

Cheap-to-Build Very Large-Language Models (CtB-LLMs) with affordable training are emerging as the next big …

Dialect identification is a critical task in speech processing and language technology, enhancing various a…

Shape assembly aims to reassemble parts (or fragments) into a complete object, which is a common task in ou…

Detection of hate speech has been formulated as a standalone application of NLP and different approaches ha…

For uniform scalar quantization, the error distribution is approximately a uniform distribution over an int…

Quantum many-body scars are an intriguing dynamical regime in which quantum systems exhibit coherent dynami…

The chirality-flipping operators of light fermions are currently poorly constrained by experimental analyse…

Given subsets of uncertain values, we study the problem of identifying the subset of minimum total value (s…

Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for applying privacy in the tra…