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. MLDAS: Machine Learning Dynamic Algorithm Selection for Software-Defined Networking Security

    Apr 16, 2026Pablo Benlloch, Oscar Romero, Antonio Leon +1Intrusion DetectionOptical Networks

  2. Unraveling the Mechanism of Drug Binding to SARS-CoV-2 RNA Pseudoknot with Thermodynamics-Driven Machine Learning

    Apr 16, 2026Mariia Ivonina, Jakub RydzewskiMessenger RnaConformational Ensembles

  3. Physics-Informed Machine Learning for Pouch Cell Temperature Estimation

    Apr 16, 2026Zheng LiuPhysics-Informed Machine LearningElectric Vehicles

  4. Improving Machine Learning Performance with Synthetic Augmentation

    Apr 16, 2026Mel Sohm, Charles Dezons, Sami Sellami +2AugmentationSynthetic Data

  5. Can AI Detect Life? Lessons from Artificial Life

    Apr 13, 2026Ankit Gupta, Christoph AdamiArtificial Intelligence DetectionArtificial Intelligence Systems

  6. Lecture notes on Machine Learning applications for global fits

    Apr 8, 2026Jorge AldaHigh Energy PhysicsMachine Learning

  7. Learning from Equivalence Queries, Revisited

    Apr 6, 2026Mark Braverman, Roi Livni, Yishay Mansour +2EquivalenceAdversarial Training

  8. ML-based approach to classification and generation of structured light propagation in turbulent media

    Apr 4, 2026Aokun Wang, Anjali Nair, Zhongjian Wang +1SpeckleDiscrete Diffusion Model

  9. How Can Machine Learning Emulators Best Support Climate Science?

    Mar 20, 2026Luca Schmidt, Nina Effenberger, Vitus Benson +5EmulatorsGlobal Climate Models

  10. DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning

    Mar 18, 2026Alexander D. Goldie, Zilin Wang, Adrian Hayler +17Mle-Bench LiteMachine Learning

  11. IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video

    Mar 17, 2026Rasul Khanbayov, Mohamed Rayan Barhdadi, Erchin Serpedin +1Monocular VideosRigid-Body Dynamics

  12. Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning

    Mar 3, 2026Adam Watts, Andrew Jeon, Destry Newton +1Spectral ReconstructionMulti-Material Shock Physics

  13. Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation

    Feb 27, 2026Jonas Jäger, Florian J. Kiwit, Carlos A. RiofríoQuantum Machine LearningQuantum Computing

  14. Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving

    Feb 27, 2026Ferran Agullo, Joan Oliveras, Chen Wang +5Large Language Model ServingSingle Graphics Processing Unit

  15. Learning Structural Hardness for Combinatorial Auctions: Instance-Dependent Algorithm Selection via Graph Neural Networks

    Feb 16, 2026Sungwoo KangCombinatorial OptimizationGraph Neural Networks

  16. Deriving Neural Scaling Laws from the statistics of natural language

    Feb 7, 2026Francesco Cagnetta, Allan Raventós, Surya Ganguli +1Scaling LawsLarge Models

  17. Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization

    Jan 27, 2026Zhenkai Bo, Ahmed H. Elsheikh, Hannah P. Menke +5Porous MediaLithology Classification

  18. Understanding LLM Failures: A Multi-Tape Turing Machine Analysis of Systematic Errors in Language Model Reasoning

    Jan 27, 2026Magnus BomanLarge Language Model PerformanceLarge Language Model Reasoning

  19. Bayesian quantum sensing using graybox machine learning

    Jan 24, 2026Akram Youssry, Stefan Todd, Patrick Murton +4Quantum Machine LearningBlack Box

  20. OpFML: Pipeline for ML-based Operational Inference

    Jan 16, 2026Shahbaz Alvi, Giusy Fedele, Gabriele Accarino +3Machine Learning

  21. EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs

    Dec 23, 2025Chama BensmailExplainabilityMachine Learning

  22. The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?

    Dec 20, 2025Vassilis Digalakis, Christophe Pérignon, Sébastien Saurin +1Machine LearningPrivate Data

  23. Interpretable machine learning of halo gas density profiles: a sensitivity analysis of cosmological hydrodynamical simulations

    Dec 9, 2025Daniele Sorini, Sownak Bose, Mathilda Denison +1CosmologyBinary Black Hole Mergers

  24. Efficient Public Verification of Private ML via Regularization

    Dec 3, 2025Zoë Ruha Bell, Anvith Thudi, Olive Franzese-McLaughlin +2Differential PrivacyPrivacy-Utility Trade-Offs

  25. Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk

    Oct 29, 2025Weimin Huang, Ryan Piansky, Bistra Dilkina +1Wildfire SpreadMixed-Integer Programming

  26. The Environmental Impacts of Language Model Training Keep Rising Now is the Time to Catch Impacts on the Rebound

    Oct 10, 2025Clément Morand, Anne-Laure Ligozat, Aurélie NévéolLarge ModelsCarbon Emissions

  27. ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs

    Sep 28, 2025Evan Dramko, Yihuang Xiong, Yizhi Zhu +4First-Principles CalculationMachine Learning

  28. Towards a more realistic evaluation of machine learning models for bearing fault diagnosis

    Sep 26, 2025João Paulo Vieira, Victor Afonso Bauler, Rodrigo Kobashikawa Rosa +1Fault DiagnosisMachine Learning

  29. SpecDetect4ML: Detecting Non-Local ML Code Smells with Code Property Graphs

    Sep 24, 2025Brahim Mahmoudi, Naouel Moha, Quentin Stiévenart +1Program AnalysisCode Quality

  30. Towards AI-Assisted Research Writing: Benchmarking LLMs for AI/ML Introduction Generation

    Aug 19, 2025Krishna Garg, Firoz Shaik, Sambaran Bandyopadhyay +1Ai-Assisted WritingScientific Discovery

  31. Instance-Aware Algorithm Selection for Maximum Clique via a Dual-Channel Graph Neural Architecture

    Aug 11, 2025Xiang Li, Shanshan Wang, Chenglong XiaoMaximum Independent SetGraph Neural Networks

  32. Efficient Unlearning with Privacy Guarantees

    Jul 7, 2025Josep Domingo-Ferrer, Najeeb Jebreel, David SánchezSeveral Approximate Unlearning StrategiesAI Privacy Risks and Protection

  33. Reasoning in machine vision by learning fast and slow thinking

    Jun 27, 2025Shaheer U. Saeed, Yipei Wang, Veeru Kasivisvanathan +4Computer VisionInference-Time

  34. BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

    May 3, 2025Evan R. Antoniuk, Shehtab Zaman, Tal Ben-Nun +10Molecular Property PredictionOut-Of-Distribution

  35. Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems

    Apr 28, 2025Alireza Furutanpey, Carmen Walser, Philipp Raith +2Graph Neural NetworksCode Optimization

  36. Explainable Graph-theoretical Machine Learning with Application to Alzheimer's Disease Prediction

    Mar 20, 2025Narmina Baghirova, Duy-Thanh Vũ, Duy-Cat Can +6AlzheimerHuman Brain Networks

  37. Experiments with Optimal Model Trees

    Mar 17, 2025Sabino Francesco Roselli, Eibe FrankDecision TreesInterpretable Models

  38. Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection

    Mar 14, 2025Tianwei Lan, Luca Demetrio, Farid Nait-Abdesselam +2Malware DetectionSpoofed Speech

  39. Approaching the Harm of Gradient Attacks While Only Flipping Labels

    Feb 28, 2025Abdessamad El-Kabid, El-Mahdi El-MhamdiCandidate Label DistributionsAdversarial Examples

  40. Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization

    Jan 10, 2025Keita KinjoCounterfactual ExplanationExplainability

  41. Stroke Prediction using Clinical and Social Features in Machine Learning

    Dec 27, 2024Aidan ChadhaStrokeLogistic Regression

  42. Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education

    Nov 28, 2024Anamaria Mojica-Hanke, David Nader Palacio, Denys Poshyvanyk +2Software EngineeringMachine Learning

  43. Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities

    Aug 22, 2024Yousef Emami, Mohammadhossein Homaei, Miguel Gutiérrez Gaitán +4Autonomous DrivingHuman-In-The-Loop

  44. Influencer Cartels

    May 16, 2024Marit Hinnosaar, Toomas HinnosaarSocial InfluenceWelfare

  45. Measuring Model-Induced Discrimination via Efficient Fairness Approximation

    May 15, 2024Yijun Bian, Yujie LuoDiscriminative ModelsMachine Learning

  46. Introduction to Transformers: an NLP Perspective

    Nov 29, 2023Tong Xiao, Jingbo ZhuTransformer ArchitecturesNatural Language Processing

  47. Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review

    Nov 15, 2023Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-ToroMultimodal Physiological SignalsReliable Uncertainty Quantification

  48. Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning

    Sep 30, 2023Sujith K MandalaMachine LearningGradient Boosted Tree

  49. Reliable learning in challenging environments

    Apr 6, 2023Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee +1Distributional LearningMachine Learning

  50. Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor

    Jul 31, 2022Caleb Princewill NwokochaMachine Learning

  51. A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning

    Sep 6, 2021Yehuda Dar, Vidya Muthukumar, Richard G. BaraniukOver-Parameterized Neural NetworksMachine Learning

  52. Machine Learning Classification and Portfolio Construction: Does the Loss Function Matter?

    Aug 4, 2021Yang Bai, Kuntara PukthuanthongPortfolio OptimizationGradient Boosted Tree

  53. Realised Volatility Forecasting: Machine Learning via Financial Word Embedding

    Aug 1, 2021Eghbal Rahimikia, Stefan Zohren, Ser-Huang PoonStochastic VolatilityFinancial Sentiment Analysis

  54. Limits of Transfer Learning

    Jun 23, 2020Jake Williams, Abel Tadesse, Tyler Sam +2Transfer LearningMachine Learning

  55. Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software

    Sep 6, 2018João R. Campos, Marco Vieira, Ernesto CostaSoftwareEarly Failure Prediction

  56. Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks

    Date pendingRachel Longjohn, Giri Gopalan, Emily CasletonReliable Uncertainty QuantificationEvaluation Metrics

  57. Improving Energy Efficiency of Oil Platforms Through Optimal Loading of Diesel Generators Using Machine Learning and Search Algorithms

    Date pendingKhivishta Boodhoo, Isaac Triguero, Josh Plumbly +3Machine Learning

  58. The General Theory of Localization Methods

    Date pendingCongwei SongMachine LearningLocalization Methods

  59. What does the model actually see? Evaluation protocols and input availability in data-driven prediction of room acoustic parameters

    Date pendingAk\in OktavAcousticEvaluation Protocols

  60. VALG: An Agentic System for ML Theory Research

    Date pendingDechen Zhang, Xuan Tang, Xinxiang Yin +3TheoremAgentic Systems