Generalized Linear Model

Ask about this topic

Recent momentum

-37%

5 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Generalized Linear Model.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Generalized Linear Model.

61 papers

Latest in Generalized Linear Model

Open your feed →
CardsList

  1. Buyer Artificial Intelligence-Enabled Environmental Governance and Supplier Environmental Controversies: An Organizational Information Processing and Signaling

    Sep 12, 2026Yongchao Martin Ma, Xinya GuanArtificial Intelligence GovernanceSoftware Supply Chains

  2. Distributed Lag Neural Additive Models

    Sep 7, 2026Calle Helmersson, Shivang Pandey, Leonardo Olivetti +1Generalized Linear ModelAutoregressive Model

  3. Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling

    Sep 3, 2026Alessandro Grassi, Edoardo Kimani Bellotto, Wassim El Azami +2Time SeriesGeneralized Linear Model

  4. Implementing neural network mixed-effects models in Template Model Builder (TMB)

    Aug 31, 2026Nan Zheng, Hoi Yiu Cheung, Vibhu Sharma +2Generalized Linear ModelObjective Functions

  5. Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory

    Aug 30, 2026Zhe Aurore Li, Quentin Clairon, Cécilia Samieri +3Generalized Linear ModelNeural Ordinary Differential Equations

  6. Can Open-Weight Models Compete on Financial Text Comprehension?

    Aug 9, 2026Jan SpörerFinance DomainArtificial Intelligence Systems

  7. Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors

    Aug 7, 2026Saeid Shokoufa, Mohammad Erfan Sadeghi, Mehdi Kamal +1LLM Inference EfficiencyArtificial Intelligence Infrastructure

  8. Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data

    Aug 6, 2026Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers +2Generalized Linear ModelLongitudinal Data

  9. 3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment

    Aug 4, 2026Yuke Xing, Jiarui Wang, William Gordon +33D Gaussian SplattingImage Quality Assessment

  10. On Non-Stationary Dynamic Pricing: Adaptivity and Optimality

    Jul 27, 2026Feiyu Jiang, Zifeng ZhaoPricesGeneralized Linear Bandit

  11. Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram

    Jul 25, 2026Ethan DavisBrain-Computer InterfaceElectroencephalogram

  12. Automatic knot selection in smooth additive models

    Jul 23, 2026Nicolás Carrizosa, Vanesa Guerrero, María DurbánB-SplineGeneralized Linear Model

  13. Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction

    Jul 23, 2026Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1Open Radio Access NetworksWireless Networks

  14. Where Does the Noise Come From? A Variance-Components Decomposition of Non-Determinism in LLM Brand Answers

    Jul 14, 2026Dmitrij ŻatuchinLarge Language Model ReliabilityBrand Pairs

  15. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniCausal DiscoveryClustering

  16. Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

    Jul 6, 2026Yuankang Zhao, Youngsoo Baek, Felipe A. Medeiros +2Generalized Linear ModelMultimodal Learning

  17. Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data

    Jul 2, 2026Mojgan Alishiri, Amirhossein ArzaniProbabilistic Operator LearningGeneralized Linear Model

  18. Contextual Slate GLM Bandits with Limited Adaptivity

    Jun 30, 2026Tanmay Goyal, Sukruta Prakash Midigeshi, Gaurav SinhaLightweight Tabular Contextual BanditMulti-Objective Bandits

  19. An Integrated Machine Learning and Hierarchical Variance Decomposition Pipeline for Student Performance Prediction and Metacognitive Calibration on Multi-Signal Telemetry

    Jun 27, 2026Gurdeep Singh VirdeePredictive PerformanceMetacognition

  20. Neural Additive and Basis Models with Feature Selection and Interactions

    Jun 18, 2026Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda +1Feature SelectionGeneralized Linear Model

  21. RegMix-D: Dynamic Data Mixing via Proxy Training Trajectories

    Jun 17, 2026Kaiyan Zhao, Zhongtao Miao, Akiko Aizawa +1Large Language Model Post-TrainingMixtures

  22. Mixed-Precision Communication-Avoiding SGD for Generalized Linear Models on GPUs

    Jun 16, 2026Aditya Devarakonda, Irene Simó Muñoz, Giulia GuidiDp-SgdStochastic Gradient Descent

  23. Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction

    Jun 16, 2026Marc-Andre Schulz, Kerstin RitterGeneralized Linear ModelRegression

  24. Dynestyx: A Probabilistic Programming Library for Dynamical Systems

    Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4Bayesian Inference ApproachesState Space Models

  25. p-PSO: A Penalized Particle Swarm Optimization Technique for Finding D-Optimal Designs with Mixed Factors in Generalized Linear Models

    Jun 14, 2026Shrabanti Chowdhury, Abhyuday MandalParticle Swarm OptimizationQuadratic Slack Penalty

  26. DTVEM-RE: A Hierarchical Random-Effects Extension of the Differential Time-Varying Effect Model for Person-Specific Multi-Lag Estimation in Intensive Longitudinal Data

    Jun 12, 2026Amartya BhattacharyaLongitudinal DataGeneralized Linear Model

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

    Jun 8, 2026Timo Heiß, Julia Herbinger, Bernd Bischl +1Interaction DynamicsInteraction Patterns

  28. When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic

    Jun 7, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeIdentifiabilityNeural Model

  29. Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia

    Jun 4, 2026Jonathan Colen, Eric Werner, Maryam Golbazi +6Air PollutionGeneralized Linear Model

  30. An interpretable and trustworthy AI framework for large-scale longitudinal structure-pain association studies using data from the Osteoarthritis Initiative (OAI)

    Jun 3, 2026Jincheng Yu, Haoyang Li, Yiwen Liu +5Knee OsteoarthritisClinical Prediction

  31. Annotation-Informed Block-Sparse Bayesian Modeling for cis-Expression Prediction

    May 30, 2026Lei Huang, Hui Shen, Kuan-Jui Su +9Generalized Linear ModelBayesian Learning

  32. Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment

    May 29, 2026Arkadiy Saakyan, Charvi Rastogi, Lora AroyoCultural AlignmentMultilingual Safety

  33. FlagGAM: Rule-Basis Generalized Additive Models for Explainable Tabular Prediction

    May 29, 2026Zijie Zhao, Roy E. WelschGeneralized Linear ModelPredictors

  34. Is the Last Layer Sufficient for Uncertainty Quantification?

    May 29, 2026Joseph Wilson, Chris van der Heide, Liam Hodgkinson +1Uncertainty QuantificationEpistemic Uncertainty Artificial Intelligence Act

  35. Gradient-Flow Optimization as Dynamic Random-Effects Inference: Testing and Early Stopping with Applications to Deep Learning

    May 27, 2026Minhao Yao, Ruoyu Wang, Xihong Lin +2Early StoppingGeneralized Linear Model

  36. RULER: Representation-Level Verification of Machine Unlearning

    May 26, 2026Georgina Cosma, Axel FinkeMachine UnlearningRepresentation Learning

  37. Understanding Deterioration Random Effects for Causal Discovery in Infrastructure Management

    May 19, 2026Takato YasunoPredictive MaintenanceCausal Discovery

  38. When Does Model Collapse Occur in Structured Interactive Learning?

    May 19, 2026Yuchen Wu, Kangjie Zhou, Weijie SuCollapseInteraction Dynamics

  39. Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations

    May 18, 2026Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +1Concept-Based ExplainabilityGeneralized Linear Model

  40. How Sensitive Are Radiomic AI Models to Acquisition Parameters?

    May 14, 2026D. Gil, I. Sanchez, C. SanchezRadiomicsComputed Tomography

  41. Bayesian Nonparametric Mixed-Effect ODEs with Gaussian Processes

    May 13, 2026Julien Martinelli, Maksim Sinelnikov, Harri Lähdesmäki +2Ordinary Differential EquationsGaussian Process

  42. A renormalization-group inspired lattice-based framework for piecewise generalized linear models

    May 6, 2026Joshua C. ChangGeneralized Linear ModelRegression

  43. MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction

    May 6, 2026Aike Potze, Fred van Eeuwijk, Ioannis N. AthanasiadisMediterranean GreenhousesPhenotypes

  44. Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories

    May 4, 2026Ran Tong, Tong Wang, Lanruo Wang +1AlzheimerBiomarker

  45. Random-Effects Algorithm for Random Objects in Metric Spaces

    May 4, 2026Marcos Matabuena, Mateo CámaraGeneralized Linear ModelMetric Spaces

  46. Fitting Large Nonlinear Mixed Effects Models Using Variational Expectation Maximization

    Apr 28, 2026Mohamed Tarek, Pedro AfonsoGeneralized Linear ModelExpectation-Maximization

  47. Robust Representation Learning through Explicit Environment Modeling

    Apr 28, 2026Yuli Slavutsky, David M. BleiRepresentation LearningGeneralized Linear Model

  48. An Investigation of Linguistic Biases in LLM-Based Recommendations

    Apr 28, 2026Nitin Venkateswaran, Jason Ang, Deep Adhikari +1Large Language Model BiasLinguistics

  49. Multi-output Extreme Spatial Model for Complex Aircraft Production Systems

    Apr 24, 2026Cheolhei Lee, Xing Wang, Xiaowei Yue +1ExtremesForward-Looking Fault-Risk Prediction

  50. Meta Additive Model: Interpretable Sparse Learning With Auto Weighting

    Apr 22, 2026Xuelin Zhang, Xinyue Liu, Lingjuan Wu +1Generalized Linear ModelReweighting

  51. S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

    Apr 21, 2026Xuelin Zhang, Hong Chen, Yingjie Wang +2Semi-Supervised LearningRegularization Methods

  52. ParamBoost: Gradient Boosted Piecewise Cubic Polynomials

    Apr 20, 2026Nicolas Salvadé, Tim HillelGeneralized Linear ModelGradient Boosted Tree

  53. Forecast Sports Outcomes under Efficient Market Hypothesis: Theoretical and Experimental Analysis of Odds-Only and Generalised Linear Models

    Apr 19, 2026Kaito Goto, Naoya Takeishi, Takehisa YairiBettingGeneralized Linear Model

  54. Machine individuality: Separating genuine idiosyncrasy from response bias in large language models

    Apr 18, 2026Valentin Kriegmair, Dirk U. WulffLarge Language Model BiasCognitive Biases

  55. Fairness Constraints in High-Dimensional Generalized Linear Models

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

  56. Hierarchical Latent Structures in Data Generation Process Unify Mechanistic Phenomena across Scale

    Feb 4, 2026Jonas Rohweder, Subhabrata Dutta, Iryna GurevychMechanistic InterpretabilityGeneralized Linear Model

  57. Gradient Boosted Mixed Models: Flexible Estimation of Mean and Variance Components for Clustered Data

    Oct 31, 2025Mitchell L. Prevett, Francis K. C. Hui, Zhi Yang Tho +2Generalized Linear ModelGradient Boosted Tree

  58. Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

    Sep 8, 2025Yuqi Zhou, Zhanhong Cheng, Dingyi Zhuang +3Graph Neural NetworksDiscrete Choice Models

  59. Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance

    Mar 27, 2025Markéta Krúpová, Nabil Rachdi, Quentin GuibertInsuranceSeverity

  60. Personalized Additive Modeling for Multi-level Federated Learning

    May 26, 2024Shutong Chen, Guodong Long, Tianyi Zhou +3Robust Federated LearningGeneralized Linear Model