2025-12-17-36_articles_updated

期刊: Nature Aging

标题: 整合多基因信号和单细胞多组学鉴定出对免疫和衰老相关疾病至关重要的细胞类型特异性调控组

英文标题: Integrating polygenic signals and single-cell multiomics identifies cell-type-specific regulomes critical for immune- and aging-related diseases

链接: https://www.nature.com/articles/s43587-025-01027-5

期刊: Computational biology and bioinformatics : nature.com subject feeds

标题: 一个集成的细胞绘画CRISPR筛选平台通过自监督深度学习实现基因功能的从头推断

英文标题: A pooled Cell Painting CRISPR screening platform enables de novo inference of gene function by self-supervised deep learning

链接: https://www.nature.com/articles/s41467-025-66778-6

期刊: Computational biology and bioinformatics : nature.com subject feeds

标题: 开发基于自报告和登记数据的机器学习模型以预测青少年饮食失调

英文标题: “Developing machine learning models of self-reported and register-based data to predict eating disorders in adolescence”

链接: https://www.nature.com/articles/s44184-025-00179-x

期刊: JAMA Current Issue

标题: 实验室中的AI——AI真的会改变药物发现吗？

英文标题: AI in the Lab—Will AI Really Change Drug Discovery?

链接: https://jamanetwork.com/journals/jama/fullarticle/2841059

期刊: npj Digital Medicine

标题: 快速多模态成像结合机器学习识别牛磺酸作为乳腺癌边缘评估的潜在标志物

英文标题: Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment

链接: https://www.nature.com/articles/s41746-025-02202-z

期刊: npj Digital Medicine

标题: 多模态机器学习在基于视频的单问题心理健康评估中的应用

英文标题: Multimodal machine learning for video based single question mental health assessment

链接: https://www.nature.com/articles/s41746-025-02242-5

期刊: cs.LG updates on arXiv.org

标题: 平衡准确性和速度：一种具有机器学习代理模型的多元保真度集合卡尔曼滤波器

英文标题: Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model

链接: https://arxiv.org/abs/2512.12276

期刊: cs.LG updates on arXiv.org

标题: 机器学习的不确定性量化：一种模式并不适合所有人

英文标题: Uncertainty Quantification for Machine Learning: One Size Does Not Fit All

链接: https://arxiv.org/abs/2512.12341

期刊: cs.LG updates on arXiv.org

标题: 基于随机函数理论的机器学习回归问题求解

英文标题: Solving a Machine Learning Regression Problem Based on the Theory of Random Functions

链接: https://arxiv.org/abs/2512.12731

期刊: cs.LG updates on arXiv.org

标题: 使用深度学习和传感技术对HRGCs的挂断敏感性进行网络级评估：迈向更安全的未来

英文标题: Network Level Evaluation of Hangup Susceptibility of HRGCs using Deep Learning and Sensing Techniques: A Goal Towards Safer Future

链接: https://arxiv.org/abs/2512.12832

期刊: cs.LG updates on arXiv.org

标题: 基于机器学习的车辆安全应用中预测占用网格的概率估计

英文标题: Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning

链接: https://arxiv.org/abs/2512.12896

期刊: cs.LG updates on arXiv.org

标题: 机器学习架构用于估计道路交通中的预测占用网格

英文标题: Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic

链接: https://arxiv.org/abs/2512.12907

期刊: cs.LG updates on arXiv.org

标题: 深度学习在生物数据压缩中的应用

英文标题: Application of Deep Learning in Biological Data Compression

链接: https://arxiv.org/abs/2512.12975

期刊: cs.LG updates on arXiv.org

标题: 基于深度学习的磁共振弹性成像剪切模量估算反演框架（DIME）

英文标题: Deep Learning-Driven Inversion Framework for Shear Modulus Estimation in Magnetic Resonance Elastography (DIME)

链接: https://arxiv.org/abs/2512.13010

期刊: cs.LG updates on arXiv.org

标题: PolySet：恢复聚合物统计集束性质以用于机器学习

英文标题: PolySet: Restoring the Statistical Ensemble Nature of Polymers for Machine Learning

链接: https://arxiv.org/abs/2512.13186

期刊: cs.LG updates on arXiv.org

标题: XNNTab – 使用稀疏自动编码器的表格数据的可解释神经网络

英文标题: XNNTab – Interpretable Neural Networks for Tabular Data using Sparse Autoencoders

链接: https://arxiv.org/abs/2512.13442

期刊: cs.LG updates on arXiv.org

标题: 不断演进的深度学习优化器

英文标题: Evolving Deep Learning Optimizers

链接: https://arxiv.org/abs/2512.11853

期刊: cs.LG updates on arXiv.org

标题: 针对基于深度学习的射频指纹识别的对抗攻击

英文标题: Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification

链接: https://arxiv.org/abs/2512.12002

期刊: cs.LG updates on arXiv.org

标题: MeltwaterBench：用于地表融水时空降尺度的深度学习

英文标题: MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater

链接: https://arxiv.org/abs/2512.12142

期刊: cs.LG updates on arXiv.org

标题: 朝着预训练的深度学习估计Linfoot信息相关性的方法

英文标题: Towards a pretrained deep learning estimator of the Linfoot informational correlation

链接: https://arxiv.org/abs/2512.12358

期刊: cs.LG updates on arXiv.org

标题: 基于深度学习毫米波雷达感知的跨环境泛化全面部署评估

英文标题: Comprehensive Deployment-Oriented Assessment for Cross-Environment Generalization in Deep Learning-Based mmWave Radar Sensing

链接: https://arxiv.org/abs/2512.13018

期刊: cs.LG updates on arXiv.org

标题: 权重空间相关性分析：量化深度学习模型中的特征利用率

英文标题: Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models

链接: https://arxiv.org/abs/2512.13144

期刊: cs.LG updates on arXiv.org

标题: 基于交互式VR实验的心理旋转深度学习模型

英文标题: A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments

链接: https://arxiv.org/abs/2512.13517

期刊: cs.LG updates on arXiv.org

标题: 利用机器学习增强IODP探险390/393的岩性解释从测井数据

英文标题: Enhancing lithological interpretation from petrophysical well log of IODP expedition 390/393 using machine learning

链接: https://arxiv.org/abs/2512.13529

期刊: cs.LG updates on arXiv.org

标题: 煎饼：跨生物医学领域的多协议图像分割一致性

英文标题: Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains

链接: https://arxiv.org/abs/2512.13534

期刊: cs.LG updates on arXiv.org

标题: 量化鲁棒性：用于网络物理系统深度学习预测的基准测试框架

英文标题: Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems

链接: https://arxiv.org/abs/2504.03494

期刊: cs.LG updates on arXiv.org

标题: 张量分解网络用于快速机器学习计算原子间势能

英文标题: Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations

链接: https://arxiv.org/abs/2507.01131

期刊: cs.LG updates on arXiv.org

标题: 高度不平衡的表格数据在SEP及其他应用中的回归分析

英文标题: Highly Imbalanced Regression with Tabular Data in SEP and Other Applications

链接: https://arxiv.org/abs/2509.16339

期刊: cs.LG updates on arXiv.org

标题: 通过机器学习开发用于企业层面商业调查的合成微数据

英文标题: Developing synthetic microdata through machine learning for firm-level business surveys

链接: https://arxiv.org/abs/2512.05948

期刊: cs.LG updates on arXiv.org

标题: 关于ReLU激活在物理信息机器学习中的失效

英文标题: On the failure of ReLU activation for physics-informed machine learning

链接: https://arxiv.org/abs/2512.11184

期刊: cs.LG updates on arXiv.org

标题: 行为机器学习？正则化和预测偏差

英文标题: Behavioral Machine Learning? Regularization and Forecast Bias

链接: https://arxiv.org/abs/2303.16158

期刊: cs.LG updates on arXiv.org

标题: 深度-ER：快速高分辨率神经代谢成像的深度学习非同心重建

英文标题: Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging

链接: https://arxiv.org/abs/2409.18303

期刊: cs.LG updates on arXiv.org

标题: 可解释量子机器学习在多光谱图像分割中的应用：案例研究

英文标题: Explainable Quantum Machine Learning for Multispectral Images Segmentation: Case Study

链接: https://arxiv.org/abs/2503.08962

期刊: cs.LG updates on arXiv.org

标题: DATABench：从对抗性角度评估深度学习中的数据集审计

英文标题: DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective

链接: https://arxiv.org/abs/2507.05622

期刊: cs.LG updates on arXiv.org

标题: 消除机器学习预测偏差以进行无额外真实数据因果推断：卫星驱动贫困分析中的“一图多试”

英文标题: Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis

链接: https://arxiv.org/abs/2508.01341

期刊: cs.LG updates on arXiv.org

标题: AQCat25：开启针对异相催化的具有自旋感知、高保真机器学习潜能

英文标题: AQCat25: Unlocking spin-aware, high-fidelity machine learning potentials for heterogeneous catalysis

链接: https://arxiv.org/abs/2510.22938