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arXiv:2603.00181v1 Announce Type: new Abstract: A recent report on "Learning the natural history of human disease with generative transformers" created an opportunity to assess the …
arXiv:2603.00190v1 Announce Type: new Abstract: Polysomnography (PSG) provides the gold standard for sleep assessment but suffers from substantial heterogeneity across recording devices and cohorts. There …
arXiv:2603.00191v1 Announce Type: new Abstract: Continual Learning (CL) requires models to sequentially adapt to new tasks without forgetting old knowledge. Recently, Low-Rank Adaptation (LoRA), a …
arXiv:2603.00192v1 Announce Type: new Abstract: In healthcare, predictive models increasingly inform patient-level decisions, yet little attention is paid to the variability in individual risk estimates …
arXiv:2603.00221v1 Announce Type: new Abstract: Medical coding translates clinical documentation into standardized codes for billing, research, and public health, but manual coding is time-consuming and …
arXiv:2603.00253v1 Announce Type: new Abstract: Protein language models (pLMs) have recently gained significant attention for their ability to uncover relationships between sequence, structure, and function …
arXiv:2603.00290v1 Announce Type: new Abstract: We introduce a scalable Gaussian process (GP) framework with deep product kernels for data-driven learning of parametrized spatio-temporal fields over …
arXiv:2603.00302v1 Announce Type: new Abstract: Differentiable logic gate networks (DLGNs) learn compact, interpretable Boolean circuits via gradient-based training, but all existing variants are restricted to …
arXiv:2603.00306v1 Announce Type: new Abstract: Chain-of-Thought (CoT) prompting is a widely used inference-time technique for improving reasoning, yet its gains are uneven across tasks. We …
arXiv:2603.00326v1 Announce Type: new Abstract: Classification using sparse oblique random forests provides guarantees on uncertainty and confidence while controlling for specific error types. However, they …
arXiv:2603.00340v1 Announce Type: new Abstract: Transportation mode detection is an important topic within GeoAI and transportation research. In this study, we introduce SpeedTransformer, a novel …
arXiv:2603.00355v1 Announce Type: new Abstract: Listening to heart and lung sounds - auscultation - is one of the first and most fundamental steps in a …