Machine Learning

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24 papers in the last 28 days · 0.6% of indexed attention

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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.

536 papers

Latest in Machine Learning

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  1. Continuous-Time Machine Learning: A Unified Mathematical Perspective

    Sep 15, 2026Waleed Razzaq, Yun-Sheng Zhao, Yun-Bo ZhaoMachine LearningEfficient Continual Learning

  2. Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

    Sep 12, 2026Yasin Ibrahim, Hermione Warr, Robin J. Evans +1Machine LearningMinority

  3. Predicting Train Delays in Finland Using Machine Learning and Weather Data

    Sep 12, 2026Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Nurul Huda MahmoodRailway EnvironmentsWeather Models

  4. A Statistical Approach to Estimating Sample Size of Machine Learning Models

    Sep 10, 2026Dat Phan-Trong, Sunil Gupta, Svetha VenkateshSample SizeMachine Learning

  5. Weighted Empirical Risk Minimization for Machine Learning under Long-Range Dependence: Exact Pathwise Rates and Learning-Error Geometry

    Sep 9, 2026Elina MoldavskayaEmpirical Risk MinimizationExponential Family

  6. Development and Validation of a Physics-Guided Machine Learning Extrapolation Framework Using a Classical Transient Diffusion Benchmark

    Sep 9, 2026Ashutosh Yadav, Alok Dubey, Prodyut Ranjan Chakraborty +1ExtrapolationPhysics-Guided Deep Learning Framework

  7. Numbat: Building and Verifying a Self-Contained Machine-Learning Stack

    Sep 9, 2026Thang Tran, Lan DangMachine LearningMulti-Gpu Systems

  8. Sharp Structure-Agnostic Minimax Risk for Partial Linear Models

    Sep 7, 2026Haichen Hu, David Simchi-LeviEmpirical Risk MinimizationMinimax

  9. The Role of Uncertainty in Assessing the Fairness of Machine Learning Models

    Sep 7, 2026Francesca Panero, Ernst C. Wit, Marco ScutariFairnessUncertainty Quantification

  10. SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

    Sep 7, 2026Jannes Münchmeyer, Han Xiao, Frederik TilmannSeismic InterpretationAcoustic Sensing

  11. TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables

    Sep 7, 2026Jules Kreuer, Sofiane Ouaari, Julia Hellmig +2Tabular LearningBiomedical

  12. Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification

    Sep 7, 2026Sameer Bhat, Piotr SzczukoMachine LearningParkinson

  13. Social Intuition vs. Machine Reasoning: Anticipating Human-Robot Interaction from multiple modalities

    Sep 7, 2026Raphael Lorenzo-Louis, Bertrand Luvison, Serena IvaldiHuman-Robot InteractionVision-Language Model Reasoning

  14. Mathematical Programming in Machine Learning and Artificial Intelligence: A Unified Taxonomy of Models and Applications

    Sep 7, 2026Chaosheng DongMixed-Integer Linear ProgrammingMachine Learning

  15. LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening

    Sep 3, 2026Muhammad Ashad Kabir, Sirajam MuniraChronic Kidney DiseaseScreening

  16. Advances in Machine Learning for Directed Evolution: A Five-Year Retrospective

    Sep 2, 2026Bruce J. WittmannProtein DesignEvolution

  17. Causal Foundation Models

    Sep 2, 2026Christopher Stith, Hossein Rahmani, Jesse C. CresswellCausal InferencesCausal Discovery

  18. Neural Symbollic Regression Using Deep Learning and Sparse Modelling

    Sep 1, 2026Ravi Kumar U, Sumitra SSymbolic RegressionNeurosymbolic Approach

  19. Causal Evidentiary Governance for High-Risk Machine Learning Systems

    Sep 1, 2026Samah Kareem, Barış ÇeliktaşFairness AuditsFeature Attribution

  20. A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling

    Sep 1, 2026Filippo Dainelli, Amirpasha Mozaffari, Marina Castaño +5Artificial Intelligence InfrastructureEnergy Based Models

  21. Rotational Equivariance in Machine Learning: A Comprehensive Tutorial

    Aug 31, 2026Peter Lippmann, Fred A. HamprechtExact EquivarianceMachine Learning

  22. TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

    Aug 31, 2026Jérémie Stym-Popper, Clément Rambour, Federica Granese +2Physiological SignalsElectronic Health Record Foundation Models

  23. Generative artificial intelligence for reliable mechanistic reasoning for corrosion

    Aug 31, 2026Bharath M N, R K Singh Raman, Alankar AlankarRetrieval-Augmented GenerationGenerative

  24. Predicting Residential Rents in Dakar Using Machine Learning

    Aug 31, 2026Amadou Tidiane Kassa DialloHousing AttributesXgboost

  25. On the Instance Hardness as a Decision Criterion in TinyML Systems

    Aug 30, 2026Tobiasz Puslecki, Krzysztof WalkowiakResource-Constrained DevicesComputational Cost

  26. On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective

    Aug 13, 2026Nestor R. Barraza, Gabriel PenaMachine LearningFundamental Limits

  27. Concept Drift Detection and Adaptive Retraining of Malware Classification Models

    Aug 13, 2026Christofer Washington Berruz Chungata, Martin Jurecek, Katerina Potika +2Malware ClassificationMachine Learning

  28. Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance

    Aug 13, 2026Chukwunonso Henry Nwokoye, Blessing Oluchi Iloka, Chikwue V. Umeugoji +2BeamformingMachine Learning

  29. Wind-Informed Rapid Flight-Planning in Complex Urban Topologies via Machine Learning and Experimental Validation

    Aug 10, 2026Peter I. Renn, Alejandro A. Stefan-Zavala, Julian Humml +8Street-View ImageryMachine Learning

  30. Physics-Informed Machine Learning in Prognostics and Health Management: A Systematic Literature Review

    Aug 10, 2026Christopher Braun, Julian Raible, Marco F. HuberPhysics-Informed Deep LearningPrognostics

  31. Detecting Soft Skills in ML Engineering Roles CVs

    Aug 10, 2026Aidin Azamnouri, Nouran Ayad, Justus Bogner +1JobsCandidate

  32. A Machine Learning Based Search for Lunar Anomalies

    Aug 10, 2026Cameron Kelahan, Daniel Angerhausen, Adam Lesnikowski +1Lunar SurfaceAnomaly

  33. On-Device Multi-Species Malaria Detection with Uncertainty-Calibrated Slide-Level Aggregation

    Aug 9, 2026Idaya Seidu, Ahmed Tahiru Issah, Charles B. Delahunt +1MalariaWhole-Slide Image Analysis

  34. H2: A Dual Hybrid Semantic Data Lake Architecture for Medical Data Harmonization with Human-In-the-Loop verified, LLM Driven Metadata Annotation System

    Aug 8, 2026Ioannis N. Tzortzis, Georgia Kapetadimitri, Agapi Davradou +6Data LakesAnnotation Guidelines

  35. Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study

    Aug 7, 2026Yushu Zou, Ye Li, Johra Moosa +3Coronavirus DiseaseCross Validation

  36. Winning by Peeking: Unenforced Budgets and Test-Set Selection Inflate Short-Budget AutoML Comparisons

    Aug 7, 2026Guilin Zhang, Kai ZhaoMle-Bench LiteBudgets

  37. Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification

    Aug 7, 2026Albert Saiapin, Kim BatselierTensor NetworksNeural Tangent Kernel

  38. The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows

    Aug 7, 2026Junbo Li, Boyi Liu, Canwen Xu +5Historical Optimization ExperiencesPrompt

  39. Hit Selection Using SSMD-Based Machine Learning Performance Metrics in High-Throughput Screening Assays

    Aug 6, 2026Xiaohua Douglas ZhangScreeningDrug Discovery

  40. Newton-Schulz Retraction-Based Inference Enables Hidden Quantum Markov Models to Outperform Classical HMMs

    Aug 6, 2026Ning NingHidden Markov ModelsMachine Learning

  41. A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance

    Aug 6, 2026Fardin Afdideh, Fernando Seoane, Farhad AbtahiPost-Training PipelinesMultimodal Instruction Tuning

  42. Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures

    Aug 6, 2026Bongseok Kim, Suman Chakraborty, Gary Huang +3Symbolic RegressionMolecular Property Prediction

  43. ML-for-ML

    Aug 6, 2026Yutong Zhao, Noga H. Rotman, Gianni Antichi +1Single-Inference WorkloadsMachine Learning

  44. Hybrid Machine Learning Framework for Herd-Level Cattle Growth Pattern and Weight Gain Forecasting in Grazing-Based Production Systems

    Aug 6, 2026Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath +2Long-Horizon ForecastingMachine Learning

  45. SEAM: Global consistency beyond local accuracy in scientific machine learning

    Aug 6, 2026Gnankan Landry Regis N'guessan, Bum Jun KimScientific DiscoveryStructural Causal Model

  46. DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data

    Aug 5, 2026Ruilin Wang, Bo-Hong Wang, Elizabeth Kourbatski +6Agentic PipelineMachine Learning

  47. Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction

    Aug 5, 2026Quinn Ledingham, Zhengsen Xu, Yimin Zhu +6Wildfire PredictionAccurate Flood Prediction

  48. When Proxy Prediction Becomes Equation Reconstruction: Diagnostics and Residual Learning for Factor-Derived Proxy Supervision

    Aug 5, 2026Chayan Lahiri, Ahmed Shafee, Cody FehringerResidual LearningMachine Learning

  49. TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning

    Aug 4, 2026Yilong Dai, Yiming Sun, Yiheng Chen +4TurbulenceLow-Data Regimes

  50. To Describe or Construct Statistical Learning Models Using the Category-theoretical Language

    Aug 4, 2026Congwei SongStatisticsMachine Learning

  51. MS-MLB: An Open Machine Learning Benchmark for Blood-Based MS Classification

    Aug 4, 2026Adam Simson, Ankush Dutta, Quang BuiMultiple SclerosisMle-Bench Lite

  52. Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning

    Aug 4, 2026Álvaro Sánchez-Paniagua Ríos, Juan P. Llerena, Alberto Lastra +2Quantum KernelsReproducing Kernel Hilbert Spaces

  53. KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement

    Aug 3, 2026Gusseppe Bravo-Rocca, Jordi Guitart, Ajay Dholakia +2State DriftEfficient Continual Learning

  54. On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

    Aug 2, 2026Alireza Abolhasani Zeraatkar, Parnian Shabani Kamran, Inderpreet Kaur +3Malware ClassificationMachine Learning

  55. Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

    Aug 2, 2026Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2Lipschitz ConstantOptimization Convergence Analysis

  56. Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction

    Aug 2, 2026Ahmed Baha Ben Jmaa, Faten Chaieb, Anna FabijańskaHyperspectral Image ClassificationLeaf Disease Classification

  57. Hierarchical Solomonoff Induction: An Unbounded Machine Learning Model

    Aug 2, 2026Nathan YoungSequence ModelingMachine Learning

  58. Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence

    Jul 31, 2026Haozheng Xu, Siyuan Ma, Qingyan XiangConfidence IntervalsPrevalence

  59. Rethinking Pretraining for Specialized Design Data: Evidence from the JONES-19 Cultural Design Dataset

    Jul 31, 2026Alexandros Haridis, Charles ZhouMnistModel Pretraining

  60. Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps

    Jul 31, 2026Babar Shah, Faheem Ullah, Myles Watkinson +3Artificial Intelligence ReviewersReview