arXiv cs.LG Machine Learning

Aleksei Rozanov, Arvind Renganathan, Vipin Kumar: Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes https://arxiv.org/abs/2603.09974 https://arxiv.org/pdf/2603.09974 https://arxiv.org/html/2603.09974

Lucas Prieto, Edward Stevinson, Melih Barsbey, Tolga Birdal, Pedro A. M. Mediano: From Data Statistics to Feature Geometry: How Correlations Shape Superposition https://arxiv.org/abs/2603.09972 https://arxiv.org/pdf/2603.09972 https://arxiv.org/html/2603.09972

Ruihan Xu, Jiajin Li, Yiping Lu: On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter Transfer https://arxiv.org/abs/2603.09952 https://arxiv.org/pdf/2603.09952 https://arxiv.org/html/2603.09952

Maximilian Beck, Jonas Gehring, Jannik Kossen, Gabriel Synnaeve: Towards a Neural Debugger for Python https://arxiv.org/abs/2603.09951 https://arxiv.org/pdf/2603.09951 https://arxiv.org/html/2603.09951

Fern\'andez-Hern\'andez, P\'erez-Corral, Mestre, Dolz, Duato, Quintana-Ort\'i: When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic https://arxiv.org/abs/2603.09950 https://arxiv.org/pdf/2603.09950 https://arxiv.org/html/2603.09950

Gustafsson, Gu, Carletti, Palo, Eyre, Clifton: SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG https://arxiv.org/abs/2603.09940 https://arxiv.org/pdf/2603.09940 https://arxiv.org/html/2603.09940

Erkan Turan, Maks Ovsjanikov: Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective https://arxiv.org/abs/2603.09936 https://arxiv.org/pdf/2603.09936 https://arxiv.org/html/2603.09936

Ganzhao Yuan: OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality https://arxiv.org/abs/2603.09923 https://arxiv.org/pdf/2603.09923 https://arxiv.org/html/2603.09923

Yiyang Lu, Yu He, Jianlong Chen, Hongyuan Zha: MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning https://arxiv.org/abs/2603.09892 https://arxiv.org/pdf/2603.09892 https://arxiv.org/html/2603.09892

Aleksei Rozanov, Arvind Renganathan, Yimeng Zhang, Vipin Kumar: CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning https://arxiv.org/abs/2603.09868 https://arxiv.org/pdf/2603.09868 https://arxiv.org/html/2603.09868

Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao: GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection https://arxiv.org/abs/2603.09865 https://arxiv.org/pdf/2603.09865 https://arxiv.org/html/2603.09865

Mohamad Alkadamani, Halim Yanikomeroglu, Amir Ghasemi: A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks https://arxiv.org/abs/2603.09859 https://arxiv.org/pdf/2603.09859 https://arxiv.org/html/2603.09859

Manan Mehta, Zhiqiao Dong, Yuhang Yang, Chenhui Shao: A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing https://arxiv.org/abs/2603.09842 https://arxiv.org/pdf/2603.09842 https://arxiv.org/html/2603.09842

Vitaly Bulgakov: Correction of Transformer-Based Models with Smoothing Pseudo-Projector https://arxiv.org/abs/2603.09815 https://arxiv.org/pdf/2603.09815 https://arxiv.org/html/2603.09815

Mei, Lv, Pan, Su, Hou, Chen, Xu, Yang: Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning https://arxiv.org/abs/2603.09803 https://arxiv.org/pdf/2603.09803 https://arxiv.org/html/2603.09803

Federico Pavesi, Antonio Candelieri, No\'emie Jaquier: Information Theoretic Bayesian Optimization over the Probability Simplex https://arxiv.org/abs/2603.09793 https://arxiv.org/pdf/2603.09793 https://arxiv.org/html/2603.09793

Jialei Tan, Zheng Lin, Xiangming Cai, Ruoxi Zhu, Zihan Fang, Pingping Chen, Wei Ni: Exploiting Label-Aware Channel Scoring for Adaptive Channel Pruning in Split Learning https://arxiv.org/abs/2603.09792 https://arxiv.org/pdf/2603.09792 https://arxiv.org/html/2603.09792

Yixiong Chen: A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines https://arxiv.org/abs/2603.09789 https://arxiv.org/pdf/2603.09789 https://arxiv.org/html/2603.09789

Zifeng Huang, Konstantin M. Zuev, Yong Xia, Michael Beer: Upper Generalization Bounds for Neural Oscillators https://arxiv.org/abs/2603.09742 https://arxiv.org/pdf/2603.09742 https://arxiv.org/html/2603.09742

Zou, Oh, Thwal, Adhikary, Hong, Han: A Multi-Prototype-Guided Federated Knowledge Distillation Approach in AI-RAN Enabled Multi-Access Edge Computing System https://arxiv.org/abs/2603.09727 https://arxiv.org/pdf/2603.09727 https://arxiv.org/html/2603.09727

Yechen Zhang, Shuhao Xing, Junhao Huang, Kai Lv, Yunhua Zhou, Xipeng Qiu, Qipeng Guo, Kai Chen: Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning https://arxiv.org/abs/2603.09697 https://arxiv.org/pdf/2603.09697 https://arxiv.org/html/2603.09697

Nanxi Chen, Airong Chen, Rujin Ma: Physics-informed neural operator for predictive parametric phase-field modelling https://arxiv.org/abs/2603.09693 https://arxiv.org/pdf/2603.09693 https://arxiv.org/html/2603.09693

Davit Melikidze, Marian Schneider, Jessica Lam, Martin Wertich, Ido Hakimi, Barna P\'asztor, Andreas Krause: ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning https://arxiv.org/abs/2603.09692 https://arxiv.org/pdf/2603.09692 https://arxiv.org/html/2603.09692

Muhammad Ahmad, Jingjing Zheng, Yankai Cao: On Catastrophic Forgetting in Low-Rank Decomposition-Based Parameter-Efficient Fine-Tuning https://arxiv.org/abs/2603.09684 https://arxiv.org/pdf/2603.09684 https://arxiv.org/html/2603.09684

Federico Bello, Gonzalo Chiarlone, Marcelo Fiori, Gast\'on Garc\'ia Gonz\'alez, Federico Larroca: GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation https://arxiv.org/abs/2603.09675 https://arxiv.org/pdf/2603.09675 https://arxiv.org/html/2603.09675

Magali Legast, Toon Calders, Fran\c{c}ois Fouss: No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification... https://arxiv.org/abs/2603.09662 https://arxiv.org/pdf/2603.09662 https://arxiv.org/html/2603.09662

Boya Zhang, Shuaijie Yin, Huiwen Zhu, Xing He: FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting https://arxiv.org/abs/2603.09661 https://arxiv.org/pdf/2603.09661 https://arxiv.org/html/2603.09661

Ali Sadeghkhani, A. Assadi, B. Bennett, A. Rabbani: Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs https://arxiv.org/abs/2603.09651 https://arxiv.org/pdf/2603.09651 https://arxiv.org/html/2603.09651

Jingfeng Tang, Peng Cao, Guangqi Wen, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaiane: Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis https://arxiv.org/abs/2603.09606 https://arxiv.org/pdf/2603.09606 https://arxiv.org/html/2603.09606

Elisabeth Sommer James, Asger Hobolth, Marta Pelizzola: MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation https://arxiv.org/abs/2603.09601 https://arxiv.org/pdf/2603.09601 https://arxiv.org/html/2603.09601