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arXiv:2601.18409v1 Announce Type: new Abstract: Learning in smooth games fundamentally differs from standard minimization due to rotational dynamics, which invalidate classical hyperparameter tuning strategies. Despite...
arXiv:2601.18410v1 Announce Type: new Abstract: Cooperation between satellite and terrestrial wireless networks promises great potential in meeting fast-growing demands for ubiquitous communications coverage. To tackle...
arXiv:2601.18413v1 Announce Type: new Abstract: This book arises from the need to provide a clear and up-to-date overview of the impacts of quantum computing on...
arXiv:2601.18414v1 Announce Type: new Abstract: Autism spectrum disorder (ASD) represents a neurodevelopmental condition characterized by difficulties in expressing emotions and communication, particularly during early childhood....
arXiv:2601.18415v1 Announce Type: new Abstract: This work presents a speech-to-text system "Pisets" for scientists and journalists which is based on a three-component architecture aimed at...
arXiv:2601.18417v1 Announce Type: new Abstract: This work extends the application of Jacobian-free Newton-Krylov (JFNK) methods to higher-order cell-centred finite-volume formulations for solid mechanics. While conventional...
arXiv:2601.18418v2 Announce Type: new Abstract: Recently, the frontier of Large Language Model (LLM) capabilities has shifted from single-turn code generation to agentic software engineering-a paradigm...
arXiv:2601.18420v1 Announce Type: new Abstract: Gradient regularization (GR) has been shown to improve the generalizability of trained models. While Natural Gradient Descent has been shown...
arXiv:2601.18424v1 Announce Type: new Abstract: Dry-electrode Motor Imagery Electroencephalography (MI-EEG) enables fast, comfortable, real-world Brain Computer Interface by eliminating gels and shortening setup for at-home...
arXiv:2601.18425v1 Announce Type: new Abstract: Although generative diffusion models (GDMs) are widely used in practice, their theoretical foundations remain limited, especially concerning the impact of...
arXiv:2601.18428v1 Announce Type: new Abstract: Digital collage is an artistic practice that combines image cutouts to tell stories. However, preparing cutouts from a set of...
arXiv:2601.18429v1 Announce Type: new Abstract: This paper explores the fine-grained structure of classes of regular languages maintainable in fragments of first-order logic within the dynamic...
arXiv:2601.18432v1 Announce Type: new Abstract: Recommendation systems (RS) aim to retrieve the top-K items most relevant to users, with metrics such as Precision@K and Recall@K...
arXiv:2601.18435v1 Announce Type: new Abstract: Predicting clinical severity from genotype remains a fundamental challenge in molecular medicine, particularly for enzymes whose function depends on sub-atomic-scale...
arXiv:2601.18437v1 Announce Type: new Abstract: This paper presents a series of general properties of the r-Complexity calculus, a complexity measurement for assessing the performance and...
arXiv:2601.18438v1 Announce Type: new Abstract: Automatic speech quality assessment has become increasingly important as modern speech generation systems continue to advance, while human listening tests...
arXiv:2601.18440v1 Announce Type: new Abstract: A private information retrieval protocol (PIR) scheme under an arbitrary collusion pattern $\mathcal{P}$ enables a client to retrieve one message...
arXiv:2601.18441v1 Announce Type: new Abstract: We study the document exchange problem under multiple substring edits. A substring edit in a string $\mathbf{x}$ occurs when a...
arXiv:2601.18442v1 Announce Type: new Abstract: Autonomous vehicle safety validation requires testing on safety-critical scenarios, but these events are rare in real-world driving and costly to...
arXiv:2601.18445v1 Announce Type: new Abstract: Fully Homomorphic Encryption (FHE) enables privacy preserving computation but it suffers from high latency and memory consumption. The computations are...
arXiv:2601.18446v2 Announce Type: new Abstract: Evolutionary algorithms (EAs) are increasingly implemented on graphics processing units (GPUs) to leverage parallel processing capabilities for enhanced efficiency. However,...
arXiv:2601.18447v1 Announce Type: new Abstract: Deep graph learning models have demonstrated remarkable capabilities in processing graph-structured data and have been widely applied across various fields....
arXiv:2601.18448v1 Announce Type: new Abstract: Geometric morphometrics (GMM) is widely used to quantify shape variation, more recently serving as input for machine learning (ML) analyses....
arXiv:2601.18450v1 Announce Type: new Abstract: We investigate the existence of heavy columns in binary matrices with distinct rows. A column of an m x n...