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

Latest in Machine Learning

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  1. Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation

    Jun 12, 2026Bogdan Oancea, Ana Maria Seciu-Grama, Nicoleta Siminea +10RamanBiomarker

  2. Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos

    Jun 11, 2026Maida Wang, Xiao Xue, Minh Chung +1Quantum Machine LearningQuantum Advantage

  3. A Machine Learning Framework for Real-Time Personalized Ergonomic Pose Analysis

    Jun 11, 2026Manex Atxa, Bruno Simoes, Julen Balzategui3D Pose EstimatorReal-Time Systems

  4. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression

    Jun 11, 2026Masahiro KatoCausal InferencesEfficient Influence Function

  5. A Privacy-Preserving Framework Using Remote Data Science for Inter-Institutional Student Retention Prediction

    Jun 11, 2026John Fields, K M Sajjadul Islam, Ruchitha Thota +2Privacy-Preserving FrameworkMachine Learning

  6. Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions

    Jun 10, 2026Owen O'Neill, Fintan CostelloFairness-Aware LearningSubgroup Information

  7. Evaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset

    Jun 10, 2026Wiliane Carolina Silva, Evandro César Vilas Boas, Felipe A. P. de FigueiredoExtreme Class ImbalanceIntrusion Detection

  8. Improving Crash Frequency Prediction from Simulated Traffic Conflicts Using Machine Learning Based Microsimulation

    Jun 10, 2026Xian Liu, Carlo G. Prato, Gustav MarkkulaMicroscopic Traffic SimulationsCrashes

  9. Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems

    Jun 10, 2026Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1Intrusion DetectionAdversarial Examples

  10. What Uncertainties Do We Need for Dynamical Systems?

    Jun 10, 2026Yusuf Sale, Christopher Bülte, Felix Czaja +2Epistemic UncertaintyDynamical Systems

  11. End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS

    Jun 10, 2026Riki Sakurai, Simon Kojima, Mihoko Otake-Matsuura +2Depression DetectionDepression

  12. Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

    Jun 9, 2026Warren Fernando, Nikos KomninosPhishingMachine Learning

  13. Machine Learning Methods for Studying Latent Neural Activity Dynamics

    Jun 9, 2026Shufeng Kong, Fumei Deng, Xinyi Dong +7Human Brain NetworksNeural Recordings

  14. ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling

    Jun 9, 2026William Won, Jinsun Yoo, Tuan Ta +16Multi-Gpu SystemsScalability

  15. A prior-free blind detection of information leakage from model predictions

    Jun 9, 2026Laurence A. JacobsLeakageData Leakage

  16. Beyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models

    Jun 9, 2026Vinícius Peixoto Chagas, Carlos Henrique Leitão Cavalcante, Thiago Alves RochaExplainabilityMachine Learning

  17. Fast Exact Nearest-Neighbor Learning for High-Frequency Financial Time Series

    Jun 8, 2026Henry Han, Diane LiApproximate Nearest-Neighbor SearchMachine Learning

  18. Avoiding Exponential Blow-Up in Distributive Lattice Submodular Minimization

    Jun 8, 2026Ishant ShanuSubmodular MaximizationLattice

  19. SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths

    Jun 8, 2026Timo Heiß, Julia Herbinger, Bernd Bischl +1Surrogate PerformanceLogistic Regression

  20. Data-aware Static Analysis: Improving Detection of Semantic Faults in Machine Learning Code Using Data Characteristics

    Jun 8, 2026Willem Meijer, Kristian Sandahl, Dániel VarróProgram AnalysisMachine Learning

  21. Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads

    Jun 8, 2026Minyu Cui, Miquel PericasMulti-Gpu SystemsInference Workloads

  22. Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning

    Jun 6, 2026Mahshad Koohi Habibi Dehkordi, Shuxin Zhou, Yehoshua Perl +6Electronic Health RecordsElectrocardiogram Classification

  23. Public Machine Learning Solver Framework for Novices in the Machine Learning Domain

    Jun 6, 2026Lokman Saleh, Hafedh Mili, Mounir BoukadoumMachine LearningCrowdsourced Framework

  24. Instrumented data for causal scientific machine learning

    Jun 5, 2026Daniel N. WilkeSynthetic DataScientific Discovery

  25. Second-Order Path Kernel Interpolation Formulas in Machine Learning

    Jun 5, 2026Jin Guo, Roy Y. He, Jean-Michel MorelStochastic Gradient DescentInterpolation

  26. Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach

    Jun 5, 2026Lei HuangComplex NetworksEpidemic Forecasting

  27. Decision-Aware Evaluation of Physics-Informed Surrogates

    Jun 5, 2026Daniel Cieślak, Andrzej CzyżewskiPhysics-Informed Machine LearningTask-Aware Evaluation Framework

  28. The Geometry of Last-Layer Model Stealing

    Jun 5, 2026Snigdha Chandan KhilarTransformer LayersTransformer Architectures

  29. Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments

    Jun 5, 2026Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +1Internet Of ThingMachine Learning

  30. Reactivity-Informed Machine Learning for Performance Prediction and Design Space Exploration of Alkali-Activated Slag

    Jun 4, 2026Qiyao He, Zhanzhao Li, Kai GongMachine LearningTrade-Off

  31. TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

    Jun 4, 2026Yikai Zhang, Gaoxiang Jia, Jie Ding +1Graphics Processing Unit KernelsPytorch

  32. Synthics: Synthetic Physics-like Datasets for Machine Learning

    Jun 4, 2026Jari VepsäläinenSynthetic DataSymbolic Regression

  33. Metamorphic Testing with the Rashomon Set: Explanation Faithfulness in Machine Learning

    Jun 4, 2026Helge Spieker, Jørn Eirik Betten, Arnaud GotliebExplainabilityExplanation Faithfulness

  34. Short paper: Models in the dark -- Rectification and erasure under GDPR in ML supply chains

    Jun 4, 2026Henrik Graßhoff, Malte Hansen, Meiko Jensen +1Machine LearningTrustworthy Artificial Intelligence

  35. GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

    Jun 4, 2026Oleeviya Babu Poikarayil, Cédric Schockaert, Abdulrahman Nahhas +3Neural Architecture SearchReal-Time Inference

  36. Real-Time Threat Detection from Surveillance Cameras using Machine Learning

    Jun 4, 2026Gajendra Mandal, J. P. Patra, Priyansh MahantVideo SurveillanceObject Detection

  37. Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

    Jun 3, 2026Faezeh Amou Najafabad, Markus Haug, Keerthiga Rajenthiram +2Machine Learning

  38. Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning

    Jun 3, 2026Meher Chaitanya, My Le, Luana RuizMachine Learning

  39. Validity Threats for Foundation Model Research

    Jun 3, 2026Gunnar König, Martin Pawelczyk, Ulrike von Luxburg +1Foundation ModelValidity

  40. Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints?

    Jun 3, 2026Anna Richter, Julia Stoyanovich, Sebastian SchelterFairness ConstraintsAgentic Evaluations

  41. Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization

    Jun 3, 2026Leona Hennig, Jasmin Brandt, Lukas Fehring +3Hyperparameter OptimizationOptimal Sample Complexity

  42. Physics-Informed Machine Learning for Short-Term Flood Prediction

    Jun 2, 2026Tewodros Syum Gebre, Jagrati Talreja, Leila Hashemi-BeniAccurate Flood PredictionFundamental Hydrological Principles

  43. The Differentiable Auditory Loop (DAL): An ML Framework for Hyper-Personalized Hearing Aids

    Jun 2, 2026Alejandro Ballesta Rosen, Jason Mikiel-Hunter, Julian Maclaren +3Dysarthric SpeechMachine Learning

  44. Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction

    Jun 1, 2026Jiahao Shao, Xudong Wang, Anam Nawaz Khan +3Non-Small Cell Lung CancerMultimodal Clinical Data

  45. Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning

    Jun 1, 2026Andrew Fitzgibbon, Christoph M. Wintersteiger, Jeffrey SarnoffFloating-PointApproximation

  46. QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models

    Jun 1, 2026Aritra Bal, Michael Binder, Markus Klute +2Quantum Machine LearningVariational Quantum Circuits

  47. Binary Road Surface Classification Using Machine Learning on Production Vehicle Signals During Cruising

    Jun 1, 2026Vishal Hariharan, Salar Basiri, Kanwar Bharat SinghPavementVehicle Dynamics

  48. Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach

    Jun 1, 2026Liuliu Chen, Gowri Rajaram, Eleanor Bailey +5Suicide RiskTriage

  49. ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems

    Jun 1, 2026Nagarajan S, Kurian PolachanPediatric-Adult Electrocardiogram AlignmentWearable Devices

  50. Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling

    Jun 1, 2026Vladimir BeskorovainyiProductsHuman Annotators

  51. Improvise, Adapt, Overcome: An On-The-Fly Multifidelity Algorithm for Efficient Machine Learning

    Jun 1, 2026Vivin Vinod, Peter ZaspelComputational ChemistryQuantum Machine Learning

  52. Stochastic convergence of parallel asynchronous adaptive first-order methods

    Jun 1, 2026Serge Gratton, Philippe L. TointStochastic Smooth Convex OptimizationZeroth-Order Optimization

  53. RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning

    Jun 1, 2026Amanda S BarnardModel SelectionCross Validation

  54. Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA

    May 31, 2026Achintya Ranjan, Uma RanjanEconomiesGerman

  55. Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing

    May 31, 2026Shermin Shahbazi, Hossein Mohammadi, Mohsen AfsharchiExtreme Class ImbalanceBalance

  56. Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment

    May 31, 2026Jared Fernandez, Clara Na, Yonatan Bisk +2Artificial Intelligence InfrastructureLifecycle

  57. An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke

    May 30, 2026Thijs StessenEmulatorsSurrogate Models

  58. A Comparative Analysis of Machine Learning Algorithms for Multi-Task Prediction of the Parameters of the Pectin Hydrolysis--Extraction Process

    May 30, 2026Mullosharaf K. Arabov, Shavkat Yo. Kholov, Zainiddin K. MuhiddinMachine Learning

  59. Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment

    May 30, 2026Uiwon Hwang, Jaeho HwangQuantum Machine LearningMachine Learning

  60. MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition

    May 30, 2026Yifan Bao, Xinyu Xi, Xinyu Liu +8Modular Agentic FrameworkOrchestration