Machine Learning

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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. A scalable online machine learning approach for Stock Recommendation

    Jul 25, 2026Harsh NagarkarLarge-Scale Recommendation SystemsRecommendation

  2. Verbalized Particle Posterior: Bayesian Inference over Natural Language Hypotheses

    Jul 25, 2026Yan Zhang, Shikan Lian, Shibo LiBayesianVerbalization

  3. Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows

    Jul 24, 2026Harish Ramachandran, Björn Kimpel, Thomas Paula +3Multi-Material Shock PhysicsMultiscale Dynamics

  4. Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study

    Jul 23, 2026Kaihua DingPower-Law DistributionMachine Learning

  5. Relaxed activation analysis of dataflow networks - A clock calculus for machine learning and real-time scheduling

    Jul 23, 2026William Gaudelier, Albert Cohen, Dumitru Potop ButucaruTraditional Dataflow AnalysisMachine Learning

  6. An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

    Jul 23, 2026Maximilian Dax, Theo Heimel, Gilles LouppeBayesianStatistical Inference

  7. Towards Robust Iris Recognition Through Occlusion Identification and Conditional Diffusion-Based Reconstruction

    Jul 23, 2026Kamrul Hasan, Mylene C. Q. Farias, Oleg V. KomogortsevDiverse Occlusion-And-Revelation ScenariosOcclusion

  8. Explainable quantum-compressed machine learning for complex fluid flows

    Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Quantum Machine LearningFluid Dynamics

  9. Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Using Machine Learning

    Jul 23, 2026Chufeng Jiang, Neng-Fa ZhouSatisfiabilityNeuro-Symbolic Framework

  10. Machine Learning for Charge State Characterization of Isolated Double Quantum Dots

    Jul 23, 2026Hyma Vallabhapurapu, Marco Candido, Krishna Choudhary +7Quantum Machine LearningPost-Quantum Cryptography

  11. Pipelined Gradient Coding

    Jul 22, 2026Xian Su, Jun LiPartitioningMachine Learning

  12. Explanation-Based Runtime Verification for Trustworthy ML-driven Optical Networks

    Jul 22, 2026Omran Ayoub, Carlos Natalino, Ali Al Housseini +5Explainable Artificial IntelligenceOptical Networks

  13. Writhe-Based Polymer Link Classification Using Machine Learning

    Jul 22, 2026Jack Beda, Djordje Mihajlovic, Kasturi Barkataki +1PolymerKnots

  14. Good Practice Guide for quantifying uncertainties for machine learning models applied to photoplethysmography signals

    Jul 22, 2026P. Harris, C. Bench, M. Rinkevičius +6Remote PhotoplethysmographyReliable Uncertainty Quantification

  15. Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models

    Jul 22, 2026Niraj Gadhe, Kirti Bhardwaj, Moulik Jain +2Networked SystemsCapacity

  16. MOF-Sleuth: Tool-Grounded Reward Alignment for Explainable Fine-Grained MOF CIF Auditing

    Jul 22, 2026Yu Liu, Zhiwei Yang, Diandian Guo +7Vast Chemical SpaceMllm-Based

  17. SCPP: A Unified Python Library for Soft Clustering

    Jul 21, 2026Kiyan Rezaee, Morteza Ziabakhsh, Artin Bahrampour +6Image ClusteringMachine Learning

  18. End-to-End Differential Privacy in Training Deep Neural Network Classifiers

    Jul 21, 2026Huaiyuan Rao, Calvin Hawkins, Alexander Benvenuti +1Differential PrivacyAI Privacy Risks and Protection

  19. Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models

    Jul 21, 2026Ayoub JadouliDecentralized FinanceAlgorithm Auditing

  20. Predicting Activities in Aqueous Electrolyte Solutions with Hybrid Machine Learning

    Jul 21, 2026Zeno Romero, Maximilian Kohns, Fabian JirasekMolecular Property PredictionMachine Learning

  21. Probabilistic Physics-Aware Machine Learning Predictions of Electric Truck Energy Consumption with Field Data

    Jul 21, 2026Hannes Nilsson, Rafael Basso, Balázs Kulcsár +1Electricity Price ForecastingElectric Vehicles

  22. Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers

    Jul 21, 2026Naoya Mizuki, Takahiro Katagiri, Daichi Mukunoki +1Quantum Approximate Optimization AlgorithmCosine Annealing

  23. When Does Machine Learning Beat Value Sorting? A Three-Dataset Diagnostic of Exposure-Weighted Shipment Prioritization

    Jul 20, 2026Jize LiPrioritizationLast Mile

  24. Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

    Jul 20, 2026Saleh Valizadeh Sotubadi, Nazanin Mahjourian, Vinh NguyenFeature SelectionAdditive Manufacturing

  25. FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

    Jul 20, 2026Peiyu Zang, Bosen Xie, Ruoxiang Xu +1Neural Partial Differential Equation SolversPartial Differential Equation Benchmarks

  26. The Concept of Representation in ML: Beyond Plato and Aristotle

    Jul 20, 2026Gilad Landau, Aviv KerenPhilosophyRepresentational Capacity

  27. When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring

    Jul 19, 2026Raj Shekhar SinghFalse Positive RateChange-Point Detection

  28. Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer

    Jul 19, 2026Jingjie Ning, Xiaochuan Li, Shanshan Zhong +2AutoresearchAuto Research

  29. Investigation of Polycystic Ovary Syndrome (PCOS) Diagnosis Using Machine Learning Approaches

    Jul 18, 2026Al Zadid Sultan Bin Habib, Md Asif Bin Syed, Md. Ekramul Islam +1Machine LearningGradient Boosted Tree

  30. Hybrid Machine Learning for Articulation Angle Estimation of Truck-Semitrailer Combinations

    Jul 18, 2026Qixuan Zhang, Jonas Boettcher, Simon F. G. Ehlers +1Self-Synchronized Multi-View Joint Angle MonitoringMulti-Object Tracking

  31. Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning

    Jul 18, 2026Rakshit NaiduDifferential PrivacyFairness Audits

  32. Mapping Order in Semicrystalline Polymers using Machine Learning of Nanobeam Electron Diffraction

    Jul 18, 2026Nicholas Marchese, Arthur R. C. McCray, Yael Tsarfati +4Cryo-Electron MicroscopyTransmission Electron Microscopy

  33. SEER: Supervised Learning to Control Energetic Reasoning

    Jul 17, 2026Sascha Van Cauwelaert, Michele Lombardi, Pierre SchausClassical SolversRecursive Reasoner

  34. A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

    Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4ThermodynamicsIn-Memory Computing

  35. Revisiting data-driven dynamic security assessment with a tabular foundation model

    Jul 17, 2026Olayiwola Arowolo, Maosheng Yang, Jochen CremerPower SystemsTabular Foundation Models

  36. An Exploratory Study of Single Channel Surface Electromyography for Hand Gesture Classification

    Jul 17, 2026Daanish HindustaniSurface ElectromyographyHand Gesture Recognition

  37. Code-Poisoning Property Inference Attacks

    Jul 17, 2026Xukun Luan, Yuhui Gong, Gang Zhang +4Membership Inference AttacksData Poisoning

  38. NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference

    Jul 16, 2026Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao +3In-Memory ComputingField-Programmable Gate Arrays

  39. A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX30

    Jul 15, 2026Muhammed Walid, Ahmed El-Naeimy, Hosam Moubarak +1Long-Horizon ForecastingMachine Learning

  40. Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems

    Jul 15, 2026Dhruv Shivkant, Saket Mohanty, Utkarsh WadhwaLlm-Based Optimization ModelingResource-Constrained Edge Devices

  41. Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology

    Jul 14, 2026Jorge Alda, Jacobo Asorey, Alejandro Mir +1High Energy PhysicsGradient Boosted Tree

  42. Transferable Implicit Solvent Machine Learning Potential for Drugs and Proteins Approaching Ab Initio Accuracy

    Jul 12, 2026Jan Eckwert, Julija ZavadlavPrevious Machine-Learning-Based Implicit SolventInteratomic Potentials

  43. Evaluating Reliability in Machine Learning Models for Early Chronic Kidney Disease Prediction: A Systematic Review of Data Leakage and Predictor Stability

    Jul 12, 2026Mashrul Hossain, Nafesa Kibria, Fahim ShahriarChronic Kidney DiseaseLeakage

  44. ML in a Box: Analyzing Containerization Practices in Open Source ML Projects

    Jul 11, 2026Faten Jebari, Emna Ksontini, Amine Barrak +1Machine LearningCapacity

  45. Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

    Jul 10, 2026Okezzi Ukorigho, Opeoluwa OwoyeleCombustion ControlReaction

  46. SYNRARE: Synthetic Rare Disease EHR Generation for ML Benchmarking

    Jul 10, 2026Nicolai Dinh Khang Truong, Richard RöttgerRare DiseaseElectronic Health Records

  47. Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works

    Jul 10, 2026Miguel Arana-Catania, Gillian Pink, Glenn RoeText CorporaMachine Learning

  48. Application of machine learning to monster level prediction in tabletop RPG game design

    Jul 10, 2026Jolanta Śliwa, Jakub AdamczykRole-Playing AgentsMachine Learning

  49. Pattern-Aware Graph Neural Networks for Handling Missing Data

    Jul 9, 2026Minett Tran, Taehee JeongMissing DataGraph Neural Networks

  50. Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources

    Jul 9, 2026Balasubramanian Sivan, Renato Paes Leme, Mihai Tiuca +6Optimal SchedulingMatching Markets

  51. Steering Neural Network Training through Interpretable Constraints Based on Partial Dependence

    Jul 9, 2026Yann Claes, Pierre Geurts, Vân Anh Huynh-ThuNeural NetworkMachine Learning

  52. CommuniWave:A Machine Learning Model for Quantifying the Degree of Temporary Informal Behavior in Urban Communities

    Jul 9, 2026Hongye Yang, Shien Liu, Zhihao XieUrban EnvironmentsResilience

  53. Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures

    Jul 9, 2026Hafsa Mateen, Radu Timofte, Dmitry IgnatovLearning RatesHyperparameter Optimization

  54. Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset

    Jul 9, 2026Shahnawaz Qureshi, Raja Khurram Shahzad, Muhammad Fozan +4ReproductionMachine Learning

  55. MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing

    Jul 9, 2026Xu Zhou, Haoyang Chen, Xinyu LeiPrivacy-Preserving FrameworkCloud

  56. path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting

    Jul 8, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGraph Representation LearningGraph Neural Networks

  57. Any-Dimensional Learning by Sampling

    Jul 8, 2026Eitan Levin, Venkat ChandrasekaranLarge Behavior ModelMachine Learning

  58. Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives

    Jul 8, 2026Thibaut Vidal, Julien FerryTrustworthy Artificial IntelligenceProvable Guarantees

  59. Physics-Audited Agentic Discovery in Scientific Machine Learning

    Jul 8, 2026Diab W. Abueidda, Bilal Ahmed, Panos Pantidis +1Surrogate ModelsMachine Learning

  60. Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing

    Jul 6, 2026Joel Klein, Rebecca Pelke, Roberto Laudani +2Inference WorkloadsIn-Memory Computing