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13 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Generalized Engression Models

    Oct 1, 2026Xinwei Shen, Zijian Guo, Francis BachGeneralized Linear ModelExponential Family

    Department of Statistics, University of Washington · Center for Data Science, Zhejiang University · Inria, ´Ecole Normale Sup´erieure, PSL Research University

  2. Hob-VL: A Benchmark for Visually Grounded Boolean Reasoning

    Oct 1, 2026Yuzhou Wang, Emile Anand, Ijay NarangVisual ReasoningGeneralized Linear Model

    Georgia Institute of Technology

  3. Amortized Bayesian Inference on Multilevel Models of Arbitrary Structure

    Sep 30, 2026Daniel Habermann, Andreas Bulling, Stefan T. Radev +1Bayesian InferenceGeneralized Linear Model

    Department of Statistics TU Dortmund University, Germany · Institute for Visualisation and Interactive Systems University of Stuttgart, Germany · Department of Cognitive Science Rensselaer Polytechnic Institute, USA

  4. Discrete Score Matching Enables Causal Discovery from Count Data

    Sep 30, 2026Euijong Song, Hyewon Park, Gunwoong ParkCausal Discovery MethodsExponential Family

    Department of Statistics Seoul National University, Korea · Interdisciplinary Program in Artificial Intelligence; Institute for Data Innovation in Science, Seoul National University, Korea

  5. Illusory Truth or Mere Exposure? Model-Dependent Repetition Effects in LLM-Based Social Media Simulations

    Sep 28, 2026Azza Bouleimen, Nicolò Pagan, Anikó HannákScaling Improve Social SimulationIllusions

    Department of Computer Science University of Zurich Andreasstrasse 15, 8050, Zurich, Switzerland

  6. What Drives Citations in Production Large Language Models? An Observational Multi-Method Study of Two Million AI Citations Across Ten Thousand Web Pages

    Sep 28, 2026Ben Moore, Liam DunneCitationsMulti-Model Study

    Discovered Labs

  7. HARMONIA: Interpretable Graph Learning through Mixtures of Neural Bases

    Sep 27, 2026Quan D. Bui, Nguyen Do, An Nguyen Dang +3Graph Representation LearningGeneralized Linear Model

    Center for AI Research, VinUniversity, Hanoi, Vietnam · University of Florida, Gainesville, USA · Posts and Telecommunications Institute of Technology, Hanoi, Vietnam +1

  8. Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models

    Sep 21, 2026Alex Kipnis, Marcel Binz, Eric SchulzBayesian InferenceGeneralized Linear Model

    Institute for Human-Centered AI, Helmholtz Munich, Germany

  9. Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations

    Sep 16, 2026Leon Bergen, Usha Bhalla, Andrew Lee +15Large Language Model EvaluationReward Signal

    Core contributors · Equal senior contribution

  10. Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication

    Sep 14, 2026Sayantan Kumar, Nicolas Grimaldi, Jack Cummins +1Electronic Health RecordsGeneralized Linear Model

    National Library of Medicine, National Institutes of Health, USA · Princeton University, USA

  11. Estimating Pedestrian Volumes from GIS-Derived Built-Environment Features: A Machine Learning Framework

    Sep 14, 2026Bahareh Golchin, Banafsheh Rekabdar, Sirisha Kothuri +1Urban EnvironmentsGradient Boosted Decision Tree

    Department of Computer Science, Portland State University Portland, Oregon, USA · Dept. of Civil and Environmental Engineering, Portland State University Portland, Oregon, USA · Transportation Research and Education Center (TREC), Portland State University Portland, Oregon, USA

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

    Sep 12, 2026Yongchao Martin Ma, Xinya GuanArtificial Intelligence GovernanceSupply Chain Optimization

    School of Management Huazhong University of Science & Technology, PR China · School of Economics and Management Harbin Engineering University Harbin, PR China

  13. Distributed Lag Neural Additive Models

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

    Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden · Swedish Centre for Impacts of Climate Extremes (climes), Uppsala University, Uppsala, Sweden +4

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

    Aug 31, 2026Nan Zheng, Hoi Yiu Cheung, Vibhu Sharma +2Generalized Linear ModelNeural Network

    Department of Mathematics and Statistics, Memorial University of Newfoundland, Canada · Resource Ecology and Fisheries Management, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, USA · Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial University of Newfoundland, Canada

  15. 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 +3CovariatesGeneralized Linear Model

    Univ. Bordeaux, Inserm, BPH, UMR 1219, 33000 Bordeaux, France · INRIA SISTM, 33000 Bordeaux, France · Vaccine Research Institute, 94010 Creteil, France

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

    Aug 9, 2026Jan SpörerFinancial Question AnsweringGeneralized Linear Model

    University of St. Gallen, Switzerland

  17. 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 OptimizationEnergy-Efficient

    University of Southern California Los Angeles, California, USA

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

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

    Department of Biostatistics, Erasmus University Medical Center, the Netherlands · Department of Epidemiology, Erasmus University Medical Center, the Netherlands · Department of Child Psychiatry, Erasmus University Medical Center, the Netherlands +1

  19. 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 +3Large-Scale 3D Editing DatasetImage Quality Assessment

    School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

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

    Jul 27, 2026Feiyu Jiang, Zifeng ZhaoDynamic PricingOptimality

    School of Management, Fudan University · Mendoza College of Business, University of Notre Dame

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

    Jul 25, 2026Ethan DavisBrain-Computer InterfaceElectroencephalography

    University of Washington, USA

  22. Automatic knot selection in smooth additive models

    Jul 23, 2026Nicolás Carrizosa, Vanesa Guerrero, María DurbánSplinesGeneralized Linear Model

    Department of Statistics, Operations Research and Mathematics Education, Universidad de Oviedo · Department of Statistics, Universidad Carlos III de Madrid

  23. 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 NetworksConformal Risk Control

    College of Electronics Engineering, Ninevah University, Mosul, Iraq · School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK

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

    Jul 14, 2026Dmitrij ŻatuchinLarge Language Model ReliabilityBrand-As-Memory

    Department of Information Technologies, Estonian Entrepreneurship University of Applied Sciences (EUAS), Tallinn, Estonia. · Rankfor.AI, Wroclaw, Poland; Tallinn, Estonia.

  25. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniClusterClustering

    School of Mathematical and Physical Sciences University of Technology Sydney Ultimo, NSW 2007, Australia · Department of Biostatistics University of Michigan Ann Arbor, MI 48105, USA

  26. 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

    Department of Biostatistics & Bioinformatics, Duke University · Department of Ophthalmology, University of Miami

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

    Jul 2, 2026Mojgan Alishiri, Amirhossein ArzaniProbabilistic Operator LearningLogical Connectives

    1Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, 84112, United States · 2Mechanical Engineering Department, University of Utah, Salt Lake City, UT, 84112, United States

  28. Contextual Slate GLM Bandits with Limited Adaptivity

    Jun 30, 2026Tanmay Goyal, Sukruta Prakash Midigeshi, Gaurav SinhaContextual Bandit FrameworkGeneralized Linear Model

    Microsoft Research India

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

    Jun 27, 2026Gurdeep Singh VirdeePrediction ErrorMetacognition

    Fergana State Technical University, Uzbekistan

  30. Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

    Jun 23, 2026Weihao Li, Dianne Cook, Emi Tanaka +2Generalized Linear ModelData-Driven

    Department of Econometrics and Business Statistics, Monash University, Wellington Road, VIC 3800, Australia · Research School of Finance, Actuarial Studies and Statistics, The Australian National University, CBE Building 26C, Kingsley Street, ACT 2600, Australia · Department of Statistics, University of Nebraska, Hardin Hall, 3310 Holdrege St Suite 340, Lincoln, NE 68583, United States

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

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

    Yokohama National University, Kanagawa, Japan

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

    Jun 17, 2026Kaiyan Zhao, Zhongtao Miao, Akiko Aizawa +1Large Language Model PretrainingGeneralized Linear Model

    The University of Tokyo · National Institute of Informatics

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

    Jun 16, 2026Aditya Devarakonda, Irene Simó Muñoz, Giulia GuidiStochastic Gradient DescentGeneralized Linear Model

    Department of Computer Science, Wake Forest University, Winston-Salem, NC, USA · Department of Computer Science, Cornell University, Ithaca, NY, USA

  34. Dynestyx: A Probabilistic Programming Library for Dynamical Systems

    Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4Dynamical SystemsGeneralized Linear Model

    1Basis Research Institute · 2Massachusetts Institute of Technology

  35. The limits of interpretability in multiple linear regression

    Jun 14, 2026Anand Sharma, Chen Liu, Daniele Coslovich +1InterpretabilityGeneralized Linear Model

    Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India · Innovation and Research Division, Ge-Room Inc., 93160 Noisy le Grand, France · Dipartimento di Fisica, Universit`a di Trieste, Strada Costiera 11, 34151, Trieste, Italy∗ +1

  36. 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 MandalOptimal DesignParticle Swarm Optimization

    Icahn School of Medicine at Mount Sinai New York, NY 10029-5674 · University of Georgia Athens, GA 30602-7952

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

    Jun 8, 2026Timo Heiß, Julia Herbinger, Bernd Bischl +1Interaction DataGeneralized Linear Model

    Department of Statistics, LMU Munich, Munich, Germany · Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany · Munich Center for Machine Learning (MCML), Munich, Germany

  38. 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

    Joint Institute on Advanced Computing for Energy and Science, Old Dominion University, Suffolk, VA, 23535, U.S.A. · School of Data Science, Old Dominion University, Norfolk, VA, 23529, U.S.A. · Eastern Virginia Medical School, Macon & Joan Brock Virginia Health Sciences, Old Dominion University, Norfolk, VA, 23501, U.S.A. +5

  39. 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 +5Clinical PredictionLongitudinal Data

    Statistics & Data Science GIDP, University of Arizona · Department of Epidemiology and Biostatistics, University of Arizona · R. Kent Coit College of Pharmacy, University of Arizona +2

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

    May 30, 2026Lei Huang, Hui Shen, Kuan-Jui Su +9Genome-Wide Association StudyGeneralized Linear Model

    School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, USA · Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, USA · Texas Tech University Health Sciences Center, School of Medicine, Texas Tech University

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

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

    Columbia University, New York, NY, USA. · Google DeepMind, New York, NY, USA.

  42. Beyond Additive Decompositions: Interpretability Through Separability

    May 29, 2026Jinyang Liu, Munir Eberhardt HiabuShapley Additive ExplanationsInterpretability

    Department of Mathematical Sciences, University of Copenhagen, Denmark.

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

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

    EECS Department, Massachusetts Institute of Technology, Cambridge, MA, USA · Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA

  44. Is the Last Layer Sufficient for Uncertainty Quantification?

    May 29, 2026Joseph Wilson, Chris van der Heide, Liam Hodgkinson +1Uncertainty QuantificationDynamic Epistemic Logic

    School of Mathematics and Physics, University of Queensland, Australia · ARC Training Centre for Information Resilience (CIRES), Brisbane, Australia · Department of Electrical and Electronic Engineering, University of Melbourne, Australia +1

  45. 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 StoppingDeep Learning

    Centre for Biomedical Data Science, Duke-NUS Medical School, National University of Singapore · Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA · Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences, CMA-Shanghai, SJTU-Yale2026 Joint Center of Biostatistics and Data Science, Shanghai Jiao Tong University +1

  46. RULER: Representation-Level Verification of Machine Unlearning

    May 26, 2026Georgina Cosma, Axel FinkeMachine UnlearningRepresentation-Level Misalignment

    Department of Computer Science, Loughborough University, UK · School of Mathematics, Statistics and Physics, Newcastle University, UK

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

    May 19, 2026Takato YasunoPredictive MaintenanceDegradation

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

    May 19, 2026Yuchen Wu, Kangjie Zhou, Weijie SuCollapseGenerative Models

    School of Operations Research and Information Engineering, Cornell University · Department of Statistics, Columbia University · Department of Statistics and Data Science, University of Pennsylvania

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

    May 18, 2026Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +1Shapley Additive ExplanationsExplainability

    EDF R&D, SINCLAIR Lab · Université de Toulouse · Sorbonne Université +2

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

    May 14, 2026D. Gil, I. Sanchez, C. SanchezRadiomicsCone-Beam Computed Tomography

    Universitat Autònoma de Barcelona and Computer Vision Center, Edifici O, Campus UAB, Bellaterra (Cerdanyola), 08193, Barcleona, Spain

  51. Bayesian Nonparametric Mixed-Effect ODEs with Gaussian Processes

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

    Aalto University · Inria SISTM team · Univ. Bordeaux, INSERM BPH, U1219, Inria SISTM team, VRI, France

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

    May 6, 2026Joshua C. ChangGeneralized Linear ModelRenormalization Group

    NIH Clinical Center, Rehabilitation Medicine · Mederrata Research Inc · Sound Prediction Inc

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

    May 6, 2026Aike Potze, Fred van Eeuwijk, Ioannis N. AthanasiadisAgricultural PredictionPrecision Agriculture

    Artificial Intelligence Group, Wageningen University & Research · Mathematical & Statistical Methods Group (Biometris), Wageningen University & Research

  54. 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 +1AlzheimerReadmission Prediction

    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080, United States · Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT, United States · Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX 75080, United States +1

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

    May 4, 2026Marcos Matabuena, Mateo CámaraMetric SpacesGeneralized Linear Model

    Mohamed bin Zayed University of Artificial Intelligence · Signal Processing Applications Group, Universidad Politécnica de Madrid

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

    Apr 28, 2026Mohamed Tarek, Pedro AfonsoExpectation-MaximizationGeneralized Linear Model

    PumasAI, USA

  57. Robust Representation Learning through Explicit Environment Modeling

    Apr 28, 2026Yuli Slavutsky, David M. BleiCausal Representation LearningRepresentation Learning

    Department of Statistics Columbia University · Departments of Statistics and Computer Science Columbia University

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

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

    University of Florida

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

    Apr 24, 2026Cheolhei Lee, Xing Wang, Xiaowei Yue +1ExtremesSpatiotemporal

    Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 · Department of Mathematics, Illinois State University, Normal, Illinois 61790 · Department of Industrial Engineering, Tsinghua University, Beijing, 100084 China +1

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

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

    College of Informatics, Huazhong Agricultural University, Wuhan, China