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arXiv:2602.17321v1 Announce Type: new Abstract: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, yet early risk detection is often limited by available diagnostics....
arXiv:2602.17322v1 Announce Type: new Abstract: Detecting tampered text in document images is a challenging task due to data scarcity. To address this, previous work has...
arXiv:2602.17327v1 Announce Type: new Abstract: We introduce WebFAQ 2.0, a new version of the WebFAQ dataset, containing 198 million FAQ-based natural question-answer pairs across 108...
arXiv:2602.17330v1 Announce Type: new Abstract: Comparative analysis of adaptive immune repertoires at population scale is hampered by two practical bottlenecks: the near-quadratic cost of pairwise...
arXiv:2602.17335v1 Announce Type: new Abstract: Parquet is the de facto columnar file format in modern analytical systems, yet its configuration guidelines have largely been shaped...
arXiv:2602.17337v1 Announce Type: new Abstract: In this work we present Polaffini, a robust and versatile framework for anatomically grounded registration. Medical image registration is dominated...
arXiv:2602.17340v1 Announce Type: new Abstract: LLM-assisted writing has seen rapid adoption in interpersonal communication, yet current systems often fail to capture the subtle tones essential...
arXiv:2602.17342v1 Announce Type: new Abstract: Graph Out-of-Distribution (OOD) detection aims to identify whether a test graph deviates from the distribution of graphs observed during training,...
arXiv:2602.17344v1 Announce Type: new Abstract: Diffraction tomography aims to recover an object's scattering potential from measured wave fields. In the classical setting, the object is...
arXiv:2602.17345v1 Announce Type: new Abstract: Embodied AI systems (e.g., autonomous vehicles, service robots, and LLM-driven interactive agents) are rapidly transitioning from controlled environments to safety...
arXiv:2602.17346v1 Announce Type: new Abstract: Preordering is a generalization of clustering and partial ordering with applications in bioinformatics and social network analysis. Given a finite...
arXiv:2602.17348v1 Announce Type: new Abstract: We present and study an explicit exponential integrator for parabolic SPDEs in any dimension driven by a Gaussian noise which...
arXiv:2602.17350v1 Announce Type: new Abstract: Classifying the topology of closed curves is a central problem in low dimensional topology with applications beyond mathematics spanning protein...
arXiv:2602.17351v1 Announce Type: new Abstract: Diffraction tomography is a widely used inverse scattering technique for quantitative imaging of weakly scattering media. In its conventional formulation,...
arXiv:2602.17352v1 Announce Type: new Abstract: In a decentralized balancing model, Balance Responsible Parties (BRPs) are encouraged by the Transmission System Operator (TSO) to deviate from...
arXiv:2602.17353v1 Announce Type: new Abstract: We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter...
arXiv:2602.17354v1 Announce Type: new Abstract: Multimodal recommender systems (RSs) represent items in the catalog through multimodal data (e.g., product images and descriptions) that, in some...
arXiv:2602.17357v1 Announce Type: new Abstract: This paper argues that existing global AI safety frameworks exhibit contextual blindness towards India's unique socio-technical landscape. With a population...
arXiv:2602.17358v1 Announce Type: new Abstract: Prophet inequalities compare online stopping strategies against an omniscient "prophet" using distributional knowledge. In this work, we augment this model...
arXiv:2602.17363v1 Announce Type: new Abstract: Linear attention transformers have become a strong alternative to softmax attention due to their efficiency. However, linear attention tends to...
arXiv:2602.17364v1 Announce Type: new Abstract: Machine learning models are increasingly applied to biomedical data, yet their adoption in high stakes domains remains limited by poor...
arXiv:2602.17365v1 Announce Type: new Abstract: Agents operating in complex software environments benefit from reasoning about the consequences of their actions, as even a single incorrect...
arXiv:2602.17366v1 Announce Type: new Abstract: Long-tail question answering presents significant challenges for large language models (LLMs) due to their limited ability to acquire and accurately...
arXiv:2602.17372v1 Announce Type: new Abstract: Monitoring tree crop expansion is vital for zero-deforestation policies like the European Union's Regulation on Deforestation-free Products (EUDR). However, these...