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Academic · 1 min

A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 …

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 …

Joakim Edin, Sedrah Butt Balaganeshan, Annike Kj{\o}lby Kristensen, Lars Maal{\o}e, Ioannis Louloudis, S{\o}ren Brunak

25 views Mar 4

Academic · 1 min

CoPeP: Benchmarking Continual Pretraining for Protein Language Models

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 …

Darshan Patil, Pranshu Malviya, Mathieu Reymond, Quentin Fournier, Sarath Chandar

18 views Mar 4

Academic · 1 min

Scalable Gaussian process modeling of parametrized spatio-temporal fields

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 …

Srinath Dama, Prasanth B. Nair

15 views Mar 4

Academic · 1 min

Polynomial Surrogate Training for Differentiable Ternary Logic Gate Networks

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 …

Sai Sandeep Damera, Ryan Matheu, Aniruddh G. Puranic, John S. Baras

25 views Mar 4

Academic · 1 min

When does Chain-of-Thought Help: A Markovian Perspective

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 …

Zihan Wang, Yijun Dong, Qi Lei

21 views Mar 4

Academic · 1 min

Vectorized Adaptive Histograms for Sparse Oblique Forests

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 …

Ariel Lubonja, Jungsang Yoon, Haoyin Xu, Yue Wan, Yilin Xu, Richard Stotz, Mathieu Guillame-Bert, Joshua T. Vogelstein, Randal Burns

34 views Mar 4

Academic · 1 min

Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models

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 …

Yuandong Zhang, Othmane Echchabi, Tianshu Feng, Wenyi Zhang, Hsuai-Kai Liao, Charles Chang

23 views Mar 4

Academic · 1 min

StethoLM: Audio Language Model for Cardiopulmonary Analysis Across Clinical Tasks

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 …

Yishan Wang, Tsai-Ning Wang, Mathias Funk, Aaqib Saeed

13 views Mar 4

Academic · 1 min

Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems

arXiv:2603.00363v1 Announce Type: new Abstract: Distribution shifts in attack patterns within RPL-based IoT networks pose a critical threat to the reliability and security of large-scale …

Sourasekhar Banerjee, David Bergqvist, Salman Toor, Christian Rohner, Andreas Johnsson

21 views Mar 4

Academic · 1 min

Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification

arXiv:2603.00368v1 Announce Type: new Abstract: In this study, we present a meat freshness classification framework from Red-Green-Blue (RGB) images that supports both packaged and unpackaged …

Hutama Arif Bramantyo, Mukarram Ali Faridi, Rui Chen, Clarissa Harris, Yin Sun

44 views Mar 4

Academic · 1 min

Improving Full Waveform Inversion in Large Model Era

arXiv:2603.00377v1 Announce Type: new Abstract: Full Waveform Inversion (FWI) is a highly nonlinear and ill-posed problem that aims to recover subsurface velocity maps from surface-recorded …

Yinan Feng, Peng Jin, Yuzhe Guo, Yinpeng Chen, Youzuo Lin

24 views Mar 4

Academic · 1 min

Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries

arXiv:2603.00396v1 Announce Type: new Abstract: Meta-Reinforcement Learning (Meta-RL) commonly generalizes via smoothness in the task encoding. While this enables local generalization around each training task, …

Paul Nitschke, Shahriar Talebi

28 views Mar 4

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Articles

A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 …

CoPeP: Benchmarking Continual Pretraining for Protein Language Models

Scalable Gaussian process modeling of parametrized spatio-temporal fields

Polynomial Surrogate Training for Differentiable Ternary Logic Gate Networks

When does Chain-of-Thought Help: A Markovian Perspective

Vectorized Adaptive Histograms for Sparse Oblique Forests

Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models

StethoLM: Audio Language Model for Cardiopulmonary Analysis Across Clinical Tasks

Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems

Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification

Improving Full Waveform Inversion in Large Model Era

Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries

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