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. NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation

    Apr 28, 2026Haoran Wan, Yaxiong Xie, Kyle JamiesonEmulatorsMobile Networks

  2. Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile

    Apr 28, 2026Andrea MaurinoFeature ImportanceMachine Learning

  3. CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification

    Apr 28, 2026Mainak Sen, Kumar Sankar Ray, Amlan ChakrabartiPhishingContextual Reasoning

  4. Benchmarking Logistic Regression, SVM, and LightGBM Against BiLSTM with Attention for Sentiment Analysis on Indonesian Product Reviews

    Apr 28, 2026Razin Hafid Hamdi, Ivana Margareth Hutabarat, Hanna Gresia Sinaga +3Term Frequency-Inverse Document FrequencyBidirectional Long Short-Term Memory

  5. Benchmarking PyCaret AutoML Against IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian IKN Twitter Data

    Apr 28, 2026Mutia Alfi Mayzaroh, Dwi Fitria Ningsih, Nindi Destriani +1Indonesian E-Commerce ReviewsSentiment Analysis

  6. Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver

    Apr 27, 2026Joshua Sherwood, Ben Aybar, Benjamin KaplanArtificial Intelligence ResearchSelf-Play

  7. Geometry-free prediction of inertial lift forces in microfluidic devices using deep learning

    Apr 27, 2026Jesse Ward-Bond, Ali Mashadian, Timothy C. Y. Chan +1Fluidic TransportMachine Learning

  8. Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision

    Apr 27, 2026Yongquan YangMachine LearningDemocracy

  9. IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning

    Apr 27, 2026Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand +8Multilingual ReasoningCurriculum Reinforcement Learning

  10. Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale

    Apr 27, 2026Liang Guo, Ge Song, Litao Deng +9Sequential RecommendationSequence Modeling

  11. An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness

    Apr 27, 2026Ioannis Bilionis, Ricardo C. Berrios, Luis Fernandez-Luque +1Continuous Glucose MonitoringArtificial Intelligence Models

  12. Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market

    Apr 26, 2026Wei Lu, Jay Wang, Dingli Duan +3Electricity Price ForecastingElectricity Markets

  13. WISE-FM:Operation-Aware, Engineering-Informed Foundation Model for Multi-Task Well Design

    Apr 26, 2026Carine de Menezes Rebello, Anderson Rapello dos Santos, Idelfonso B. R. NogueiraDrilling DataFluid Dynamics

  14. Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study

    Apr 25, 2026Dan Liu, Fida K. Dankar, Jennifer C. deBruyn +4Controlled StudyCounterfactual Reasoning

  15. An Analysis of Active Learning Algorithms using Real-World Crowd-sourced Text Annotations

    Apr 25, 2026Varun Totakura, Ankita Singh, Yushun Dong +1Active LearningUnlabeled Data

  16. Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption

    Apr 25, 2026Alexandre Marques, Beatriz Sá, Rui Botelho +1Homomorphic EncryptionPrivacy-Preserving Framework

  17. Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset

    Apr 24, 2026Annan Fu, Hao Pei, Maryam TanhaMalware DetectionDetection Framework

  18. On-Device Vision Training, Deployment, and Inference on a Thumb-Sized Microcontroller

    Apr 24, 2026Jeremy EllisCortexMobilenetv2

  19. FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting

    Apr 24, 2026Marco Obermeier, Marco Pruckner, Florian Haselbeck +1Electricity Price ForecastingTime Series Foundation Models

  20. On Benchmark Hacking in ML Contests: Modeling, Insights and Design

    Apr 24, 2026Xiaoyun Qiu, Yang Yu, Haifeng XuMle-Bench LiteHacking

  21. BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference

    Apr 23, 2026Beomchang Kim, Subhrajyoty Roy, Priyam DasRiemannian OptimizationBlack-Box Optimization

  22. From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation

    Apr 23, 2026Minh Duc Bui, Xenia Heilmann, Mattia Cerrato +2Large Language Model BiasCode Generation

  23. Fairness under uncertainty in sequential decisions

    Apr 23, 2026Michelle Seng Ah Lee, Kirtan Padh, David Watson +2Sequential Decision MakingCounterfactual Reasoning

  24. Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2

    Apr 23, 2026Shady E. Ahmed, Hui Wan, Saad Qadeer +5EmulatorsAtmospheric Dynamics

  25. Machine learning and emoji prediction: How much accuracy can MARBERT achieve?

    Apr 22, 2026Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. AlshawshArabic Natural Language ProcessingMachine Learning

  26. Interpretable Quantile Regression by Optimal Decision Trees

    Apr 22, 2026Valentin Lemaire, Gaël Aglin, Siegfried NijssenQuantile RegressionDecision Trees

  27. Differentially Private Model Merging

    Apr 22, 2026Qichuan Yin, Manzil Zaheer, Tian LiDifferential PrivacyContinual Model Merging

  28. pAI/MSc: ML Theory Research with Humans on the Loop

    Apr 22, 2026Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso PoggioPapersScientific Workflows

  29. IRIS: Interpolative Rényi Iterative Self-play for Large Language Model Fine-Tuning

    Apr 22, 2026Wenjie Liao, Like Wu, Liangjie Zhao +2Self-PlayUnsupervised On-Policy Self-Distillation

  30. Calibrating conditional risk

    Apr 22, 2026Andrey Vasilyev, Yikai Wang, Xiaocheng Li +1Calibrated UncertaintyConditional Distribution

  31. Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach

    Apr 22, 2026Prashant Kumar PathakData LakesComplex Query Answering

  32. Machine learning moment closure models for the radiative transfer equation IV: enforcing symmetrizable hyperbolicity in two dimensions

    Apr 22, 2026Juntao HuangHyperbolic SpaceClosure

  33. Federated Learning over Blockchain-Enabled Cloud Infrastructure

    Apr 21, 2026Saloni Garg, Amit Sagtani, Kamal Kant HiranFederated LearningCloud

  34. A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing

    Apr 21, 2026Sheikh Junaid Fayaz, Nestor D. Montiel-Bohorquez, Wilson Ricardo Leal da Silva +4Carbon EmissionsNitrogen

  35. Separating Geometry from Probability in the Analysis of Generalization

    Apr 21, 2026Maxim Raginsky, Benjamin RechtGeneralization BoundsProbability

  36. Accelerating Optimization and Machine Learning through Decentralization

    Apr 21, 2026Ziqin Chen, Zuang Wang, Yongqiang WangDecentralizationMachine Learning

  37. Towards Energy Impact on AI-Powered 6G IoT Networks: Centralized vs. Decentralized

    Apr 21, 2026Anjie Qiu, Donglin Wang, Sanket Partani +2Energy ResourcesInternet Of Thing

  38. FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition

    Apr 21, 2026Rudolf DebelakFairness AuditsSubgroup Information

  39. Improvements to the post-processing of weather forecasts using machine learning and feature selection

    Apr 21, 2026Kazuma Iwase, Tomoyuki TakenawaPrecipitationAdverse Weather

  40. A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring

    Apr 21, 2026Vaibhav Gollapalli, Aniruth AnanthanarayananCuffless Blood Pressure EstimationWearable Devices

  41. Benchmarking PNW Model for MedMNIST to 100% Accuracy

    Apr 20, 2026Bo DengMnistMachine Learning

  42. Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning

    Apr 20, 2026Guoming Long, Shihai Wang, Hui Fang +1BugActive Learning

  43. Predictive Modelling of Natural Medicinal Compounds for Alzheimer disease Using Machine Learning and Cheminformatics

    Apr 20, 2026Hafiza Syeda Yusra Tirmizi, Syed Ibad Hasnain, Muhammad Faris +2Molecular Property PredictionAlzheimer

  44. mlr3torch: A Deep Learning Framework in R based on mlr3 and torch

    Apr 20, 2026Sebastian Fischer, Lukas Burk, Carson Zhang +2Deep Learning FrameworkPytorch

  45. LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models

    Apr 20, 2026Pranshav Gajjar, Manan Tiwari, Sayanta Seth +1Synthetic Data AugmentationMachine Learning

  46. Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging

    Apr 20, 2026Nicholas Williams, Alejandro SchulerCross ValidationRandom

  47. STRIKE: Additive Feature-Group-Aware Stacking Framework for Credit Default Prediction

    Apr 19, 2026Swattik Maiti, Ritik Pratap Singh, Fardina Fathmiul AlamCredit Risk PredictionMachine Learning

  48. SeekerGym: A Benchmark for Reliable Information Seeking

    Apr 18, 2026Remy Kim, Minseung Lee, Shuo Li +1FootsiesgymMachine Learning

  49. Automated Classification of Plasma Regions at Mars Using Machine Learning

    Apr 18, 2026Yilan Qin, Chuanfei Dong, Hongyang Zhou +6Geomagnetic StormsPlasma Shape Control

  50. A proposal for PU classification under Non-SCAR using clustering and logistic model

    Apr 18, 2026Konrad Furmanczyk, Kacper PaczutkowskiImage ClusteringPositive--Unlabeled Learning

  51. Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches

    Apr 18, 2026Yixuan WangShallow Water EquationsSingularity

  52. Fairness Constraints in High-Dimensional Generalized Linear Models

    Apr 17, 2026Yixiao Lin, James BoothFairness-Aware LearningFairness Interventions

  53. Auditing Sabotage Bench: A Benchmark for Detecting and Fixing Research Sabotage in ML Codebases

    Apr 17, 2026Eric Gan, Aryan Bhatt, Buck Shlegeris +2SabotageAdversarial Evaluation

  54. Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing

    Apr 17, 2026Thomas Bayer, Alexander Lohr, Sarah Weiß +2XaiModel Interpretability

  55. Towards Rigorous Explainability by Feature Attribution

    Apr 17, 2026Olivier Létoffé, Xuanxiang Huang, Joao Marques-SilvaExplainabilityXai

  56. ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset

    Apr 17, 2026Saloni Garg, Ukant Jadia, Amit Sagtani +1Electrocardiogram ClassificationDeep Learning

  57. A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms

    Apr 17, 2026Catherine Ning, Yu Ma, Cindy Beini Wang +4Electrocardiogram ClassificationPediatric-Adult Electrocardiogram Alignment

  58. PAWN: Piece Value Analysis with Neural Networks

    Apr 16, 2026Ethan Tang, Hasan Davulcu, Jia Zou +1ValueNeural Network

  59. Towards Reliable Testing of Machine Unlearning

    Apr 16, 2026Anna Mazhar, Sainyam GalhotraMachine UnlearningUnlearning Aims

  60. When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning

    Apr 16, 2026Khalid Adnan AlsayedFairness ConstraintsEvaluation Metrics