Machine Learning

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55 papers in the last 28 days · 0.9% of indexed attention

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Period ending 2026-09-21

24 new papers

A weekly snapshot of new work published in Machine Learning.

Period ending 2026-09-14

13 new papers

A weekly snapshot of new work published in Machine Learning.

Period ending 2026-09-07

11 new papers

A weekly snapshot of new work published in Machine Learning.

661 papers

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  1. Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN

    Jun 23, 2026Chenrui Sun, Swarna Bindu Chetty, Gianluca Fontanesi +3Unmanned Aerial Vehicle TrajectoriesOpen Radio Access Networks

  2. An Agnostic Machine Learning Model of Photosynthetic Habitability

    Jun 23, 2026Callum Gray, Cassandra Hall, Stefano Santabarbara +5Exoplanet AtmospheresSolar

  3. How Complexity Contributes to Learning Opacity in Machine Learning

    Jun 23, 2026Joachim Stein, Eric RaidlLearning DynamicsMachine Learning

  4. Lightweight Transformer Models for On-Device Fault Detection: A Benchmark Study on Resource-Constrained Deployment

    Jun 23, 2026Disha PatelFault DiagnosisHybrid Transformer

  5. A Leakage-Aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection

    Jun 23, 2026Nisreen AlbzourAcute Myeloid LeukemiaAuc-Roc

  6. Machine Learning Modeling for Real-Time Melt Pool Monitoring in Laser Powder Bed Fusion Additive Manufacturing: A Hybrid Approach

    Jun 22, 2026Inioluwa Emmanuel, Zhuo Yang, Ho Yeung +1Additive ManufacturingMachine Learning

  7. Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework

    Jun 22, 2026Ahmed Abolfadl, Marwa Mahmoud, Basma Afifi +2Topic ModelingPopularity

  8. Hedgementation = Hedgerow Segmentation: A Remote Sensing Benchmark

    Jun 22, 2026Nathan Senyard, Salem Hamdani, Astrid Zhang +4Remote SensingGround Truth

  9. Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission

    Jun 22, 2026Muallim Yakubu, Vwavware Oruaode JudeExoplanet AtmospheresAtmospheric Dynamics

  10. Changing Modalities: Adapting Remote Sensing Models to New Satellites and Sensors

    Jun 22, 2026Tim G. Zhou, Anthony Fuller, Geoff Pleiss +1Remote SensingSatellite

  11. Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

    Jun 22, 2026Leona Hennig, Marius LindauerDeep LearningDeep Network

  12. Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction

    Jun 22, 2026Georg Trede, Charlotte Ricarda Doll, Elias Weber +1Dynamical SystemsOut-Of-Domain Generalization

  13. Learning Filters with Certainty

    Jun 22, 2026Yuval Banoun, Daniel Sadoc Menasche, Ori RottenstreichLocality-Sensitive HashingMachine Learning

  14. From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints

    Jun 21, 2026Zhuoer Wang, Sizhen Zhu, Xiongyu ChenCredit Risk PredictionBanking

  15. Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

    Jun 20, 2026Riccardo Poli, Ahmet YilmazHyperparameter OptimizationGradient Descent

  16. Load Testing for Machine Learning Model Serving Systems at Scale

    Jun 20, 2026Amr S. Abdelfattah, Nakul Tirumalai, Indu Mohanan +4Machine LearningSingle Graphics Processing Unit

  17. Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation

    Jun 19, 2026Basheer Qolomany, Mrinalini Deverapall, Adeyinka Laiyemo +5ColonoscopyColorectal Cancer

  18. Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case

    Jun 19, 2026David A. R. Robin, Rafael Pinot, Yann ChevaleyreAdversarial TrainingAdversarial Examples

  19. Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs

    Jun 19, 2026El Mehdi Er Raqabi, Pascal Van HentenryckMixed-Integer ProgrammingMachine Learning

  20. Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction

    Jun 19, 2026Kıvanç Doğan, Ahmet OrhanSurrogate ModelsMachine Learning

  21. A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation

    Jun 18, 2026Selin Yildirim, Yingbing Huang, Deming ChenAcceleratorCo-Design

  22. Learner-based Concept Drift Detection: Analysis and Evaluation

    Jun 18, 2026Md Moman Ul Haque Khan, Samira SadaouiNon-StationarityMachine Learning

  23. TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded Explainability

    Jun 18, 2026Geon Kim, Dara Ron, Sukhdeep Singh +5Mobile NetworksLlm-Based Forecasting Methods

  24. The Hidden Environmental Cost of Poor Coding Practices in TensorFlow and Keras Applications: A Study on Resource Leaks and Carbon Emissions

    Jun 18, 2026Bashar Abdallah, Gustavo Santos, Rola Al Bataineh +2Carbon EmissionsMachine Learning

  25. Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport

    Jun 17, 2026Gabriel F. Barros, Rômulo M. Silva, Alvaro L. G. A. CoutinhoFluid DynamicsShallow Water Equations

  26. Review of Machine Learning Models for Solar Energetic Particle Prediction

    Jun 17, 2026Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73Geomagnetic StormsMachine Learning

  27. The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning

    Jun 17, 2026V. Samuel Pérez-Díaz, Vinay L. Kashyap, Joshua D. Ingram +6Transmissive X-Ray ImagingMachine Learning

  28. Detecting Hidden ML Training With Zero-Overhead Telemetry

    Jun 17, 2026Robi Rahman, Sabiha TajdariSingle Graphics Processing UnitEvasion

  29. Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution

    Jun 17, 2026Gabriele Digregorio, Marco Di Gennaro, Francesco Pastore +3Malware DetectionProgram Analysis

  30. Learning Augmented Exact Exponential Algorithms

    Jun 17, 2026Tatiana Belova, Yuriy Dementiev, Danil SagunovLearning-Augmented AlgorithmsMachine Learning

  31. What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry

    Jun 17, 2026Zachary P. BradshawFingerprintEquivariant Neural Networks

  32. The Illusion of Improvement: Reject Inference Strategies in Credit Scoring

    Jun 16, 2026Bruno Scarone, Ricardo Baeza-YatesSelection BiasRejection

  33. Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?

    Jun 16, 2026Trisha Mittal, Akshay Mehra, Joshua KimballGeometry-Aware Uncertainty CoresetsImagenet

  34. Embedded Machine Learning for Microcontroller-Class Edge Devices: Data, Feature, Evaluation, and Deployment Pipelines

    Jun 16, 2026Mostafa DarvishiCortexMachine Learning

  35. Deep Reinforcement Learning for Minimum Zero-Forcing Sets

    Jun 16, 2026Steve Halley, Maurício GruppiGraph Representation LearningMaximum Independent Set

  36. Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization

    Jun 16, 2026Aueaphum Aueawatthanaphisut, Badri Raj LamichhaneLarge Language Model BaselinesMachine Learning

  37. Meta-classification of one-class classification models using ranking correlation and nearest neighbor

    Jun 16, 2026Toshitaka Hayashi, Hamido Fujita, Dalibor Cimr +2Binary ClassificationMachine Learning

  38. Predictive Modeling of High-Altitude Clear Air Turbulence in the United States: A Machine Learning Approach

    Jun 16, 2026Kadir Gokdeniz, Irem UlkuMachine LearningTurbulence

  39. Domain-Validity-Gated Metamorphic Testing of Scientific ML Surrogates

    Jun 16, 2026Meng Li, Xiaohua Yang, Jie Liu +1Accurate Surrogate ModelsValidity

  40. Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning

    Jun 15, 2026Augusto Peres, Iker Perez, Pedro Valdeira +4Inference LatencyLow-Latency Systems

  41. Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course

    Jun 15, 2026Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin +2Computer ScienceSoftware Engineering

  42. Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance

    Jun 15, 2026Dara Goldar, Geir Kjetil Ferkingstad Sandve, Martin JullumAnti-Money LaunderingFraud Detection

  43. Prediction of Runtime Parameters of Parallel Chemistry Applications via Active and Generative Learning

    Jun 15, 2026Tanzila Tabassum, Omer Subasi, Ajay Panyala +5Computational ChemistryMachine Learning

  44. Auditing Machine Unlearning: A Systematic Research on Whether Models Truly Forget

    Jun 15, 2026Dayong Ye, Tianqing Zhu, Ruiding Huang +5Machine UnlearningMachine Learning

  45. SciML in the Wild: A Diagnostic Study of When Structural Priors Help and When They Hurt

    Jun 15, 2026Vrishank Sai Anand, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2Prior KnowledgeMachine Learning

  46. Beyond the Blood Draw: Explainable Machine Learning for Non-Invasive Dysglycemia Risk Screening

    Jun 14, 2026Black Sun, Chenyi Zhang, Kaiyi Ji +1Hypoglycemia ClassificationClinical Prediction

  47. Machine learning enables roughness-driven inverse design of milling processes

    Jun 14, 2026Hadi Bakhshan, Sima Farshbaf, Fernando Rastellini +1Generative Inverse DesignMachine Learning

  48. Learning ground state observables from quantum computing experiments

    Jun 14, 2026Ben Jaderberg, Freya Shah, Minjun Jeon +3Many-Body PhysicsTwo-Dimensional Ising Model

  49. An Exploratory Study of Blood Glucose Estimation from Photoplethysmography Signals using Machine Learning

    Jun 14, 2026Ruhani Bhatia, Vijval EkboteContinuous Glucose MonitoringHypoglycemia Classification

  50. Machine Learning and the Random Walk Puzzle: Forecasting the CAD/USD Exchange Rate with Expanding Window Evaluation and SHAP Interpretability

    Jun 13, 2026Louis Agyekum, Edmund Fosu Agyemang, Obu-Amoah Ampomah +6Machine LearningShapley Value

  51. Distilling latent electrostatics from foundation machine learning interatomic potentials

    Jun 12, 2026Xiaoyu Wang, Bingqing ChengInteratomic PotentialsDensity Functional Theory

  52. Leveraging Physiological Signals to Predict Exam Outcomes with Machine Learning

    Jun 12, 2026Lala Yamazaki, Ramchandra RimalPhysiological DataMachine Learning

  53. Peak-Based Nuclide Identification in HPGe γγ-Spectrometry with Machine Learning and SHAP

    Jun 12, 2026Samuel Emmons, Kelly Truax, Maurice Lonsway +2SpectraMachine Learning

  54. Which Directions Matter? Sparse Design for Affine Robust Optimization

    Jun 12, 2026Pedro Chumpitaz-Flores, My Duong, Juan S. Borrero +1Robust OptimizationEmpirical Risk Minimization

  55. Moonlight in Latent Space: Chirality and Structural Correspondence Between Beethoven's Op. 27 No. 2 and Machine Learning Mechanisms

    Jun 12, 2026Chen Ying Claude, Zhihan LuoMusic UnderstandingLatent Space

  56. A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems

    Jun 12, 2026Shadi Heenatigala, Hasanika SamarasingheHydrogen Multi-Energy SystemsEnergy Forecasting

  57. Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning?

    Jun 12, 2026Mikel N. Legasa, Antoine Doury, Achille Gellens +4Global Climate ModelsDynamical Downscaling

  58. Behavioral Audit of Machine Unlearning Has a Privacy Cost

    Jun 12, 2026Liou Tang, James Joshi, Ashish KunduMachine UnlearningEfficient Privacy Loss

  59. Quantum Machine Learning for Industrial Applications

    Jun 12, 2026Léo MonbroussouQuantum Machine LearningVariational Quantum Circuits

  60. SemPiper: Interactive Code Synthesis for Semantic Operators in Machine Learning Pipelines

    Jun 12, 2026Olga Ovcharenko, Luciano Duarte, Sebastian SchelterLarge Language Model PipelinesMock-Interface Synthesis