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Academic · 약 1분

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package

arXiv:2602.23507v1 Announce Type: new Abstract: Background: Clinical prediction models are increasingly used to inform healthcare decisions, but determining the minimum sample size for their development …

Diana Shamsutdinova, Felix Zimmer, Oyebayo Ridwan Olaniran, Sarah Markham, Daniel Stahl, Gordon Forbes, Ewan Carr

조회수 87회 03.03

Academic · 약 1분

Neural Operators Can Discover Functional Clusters

arXiv:2602.23528v1 Announce Type: new Abstract: Operator learning is reshaping scientific computing by amortizing inference across infinite families of problems. While neural operators (NOs) are increasingly …

Yicen Li, Jose Antonio Lara Benitez, Ruiyang Hong, Anastasis Kratsios, Paul David McNicholas, Maarten Valentijn de Hoop

조회수 71회 03.03

Academic · 약 1분

Active Value Querying to Minimize Additive Error in Subadditive Set Function Learning

arXiv:2602.23529v1 Announce Type: new Abstract: Subadditive set functions play a pivotal role in computational economics (especially in combinatorial auctions), combinatorial optimization or artificial intelligence applications …

Martin \v{C}ern\'y, David Sychrovsk\'y, Filip \'Uradn\'ik, Jakub \v{C}ern\'y

조회수 42회 03.03

Academic · 약 1분

Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents

arXiv:2602.23556v1 Announce Type: new Abstract: Large-scale Graph Neural Networks (GNNs) are typically trained by sampling a vertex's neighbors to a fixed distance. Because large input …

Aishwarya Sarkar, Sayan Ghosh, Nathan Tallent, Aman Chadha, Tanya Roosta, Ali Jannesari

조회수 73회 03.03

Academic · 약 1분

Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing

arXiv:2602.23565v1 Announce Type: new Abstract: In many economically relevant contexts where machine learning is deployed, multiple platforms obtain data from the same pool of users, …

Adhyyan Narang, Sarah Dean, Lillian J Ratliff, Maryam Fazel

조회수 42회 03.03

Academic · 약 1분

Flowette: Flow Matching with Graphette Priors for Graph Generation

arXiv:2602.23566v1 Announce Type: new Abstract: We study generative modeling of graphs with recurring subgraph motifs. We propose Flowette, a continuous flow matching framework, that employs …

Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong

조회수 36회 03.03

Academic · 약 1분

Hybrid Quantum Temporal Convolutional Networks

arXiv:2602.23578v1 Announce Type: new Abstract: Quantum machine learning models for sequential data face scalability challenges with complex multivariate signals. We introduce the Hybrid Quantum Temporal …

Junghoon Justin Park, Maria Pak, Sebin Lee, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng, Jiook Cha

조회수 30회 03.03

Academic · 약 1분

SDMixer: Sparse Dual-Mixer for Time Series Forecasting

arXiv:2602.23581v1 Announce Type: new Abstract: Multivariate time series forecasting is widely applied in fields such as transportation, energy, and finance. However, the data commonly suffers …

Xiang Ao

조회수 36회 03.03

Academic · 약 1분

Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection

arXiv:2602.23599v1 Announce Type: new Abstract: Graph neural networks (GNNs) offer a principled approach to financial fraud detection by jointly learning from node features and transaction …

Dang Sy Duy, Nguyen Duy Chien, Kapil Dev, Jeff Nijsse

조회수 56회 03.03

Academic · 약 1분

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion

arXiv:2602.23614v1 Announce Type: new Abstract: Machine learning holds promise for advancing clinical decision support, yet it remains unclear when multimodal learning truly helps in practice, …

Kejing Yin, Haizhou Xu, Wenfang Yao, Chen Liu, Zijie Chen, Yui Haang Cheung, William K. Cheung, Jing Qin

조회수 34회 03.03

Academic · 약 1분

BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization

arXiv:2602.23630v1 Announce Type: new Abstract: Hyperparameter optimization (HPO) is known to be costly in deep learning, especially when leveraging automated approaches. Most of the existing …

Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip Yu, Mingsheng Long

조회수 33회 03.03

Academic · 약 1분

On the Convergence of Single-Loop Stochastic Bilevel Optimization with Approximate Implicit Differentiation

arXiv:2602.23633v1 Announce Type: new Abstract: Stochastic Bilevel Optimization has emerged as a fundamental framework for meta-learning and hyperparameter optimization. Despite the practical prevalence of single-loop …

Yubo Zhou, Luo Luo, Guang Dai, Haishan Ye

조회수 39회 03.03

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