A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation

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Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents

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Enhancing Graph Representation Learning with Localized Topological Features

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Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

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DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

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Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes

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Efficiently Escaping Saddle Points in Bilevel Optimization

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Inf-DLFS: integrating deep learning with optimal feature selection to identifying influential nodes in complex networks

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Overfitting, regularisation and condition estimation in regression

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Exploratory analysis of logical and intuitive reasoning in large language models

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Arabic word sense disambiguation: a survey in the era of transformer-based models

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CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system

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Deep learning for new fashion product demand prediction: integrating visual similarity and demand correction in cold-start scenarios

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SentiVol-GA: a volatility-scaled genetic fusion of predictive models and financial sentiment for adaptive stock forecasting

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A parametric distributional reinforcement learning framework for conditional systemic risk estimation

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Machine learning for optimized crop selection: a data-driven approach considering climate and soil type data

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Advancing the generation and integration of traditional motifs through AI-based techniques

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An explainable AI-driven framework integrating SHAP and QFD for transitioning from CRM to CJM in customer-centric optimization

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Artificial intelligence in digital smile design: a review of technological innovations and clinical integration

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Using AI large language models to assess dental history in systemic conditions

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