Gaussian Process

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23 papers in the last four weeks, up 667% on the four weeks before. 0.2% of all new papers.

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  1. Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions

    Oct 5, 2026Wei-Ting Tang, Madhav Muthyala, Joel A. PaulsonGaussian ProcessHigh-Dimensional

    Department of Chemical and Biological Engineering University of Wisconsin–Madison Madison, WI 53706, USA

  2. Inference for stochastic differential equations driven by weighted sub-fractional Brownian motion using neural networks and the Euler approximation

    Sep 30, 2026J. H. Ramirez-GonzalezStochastic Differential EquationsTime Discretization

    Institute of Mathematics and Statistics, University of São Paulo (IME–USP), São Paulo, Brazil

  3. FORTE: Adaptive Scoring and Exact Keyframe Selection for Long-Video Question Answering

    Sep 30, 2026Haifeng Huang, Biyin Xu, Chunsheng Xin +1Keyframe SelectionLong Video Question Answering

    Iowa State University.

  4. Prequential E-Values for Selected-GP Near-Optimality Certificates

    Sep 30, 2026Ami Tavory, Noa CohenFinite-Sample CertificatesConfidence Intervals

    Meta Platforms

  5. GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization

    Sep 28, 2026Jintao Wei, Chenxi Li, Songhao WangDecentralized OptimizationGaussian Process

    College of Business, Southern University of Science and Technology Shenzhen, China

  6. Calibrated Uncertainty for Informative Path Planning in Aquatic Environmental Monitoring

    Sep 28, 2026Samuel Yanes Luis, Alejandro Casado Pérez, Alejandro Mendoza Barrionuevo +3Calibrated UncertaintyPath Planning

    Department of Electronic Technology, University of Sevilla, Sevilla, Spain · Department of Electronic Engineering, University of Sevilla, Sevilla, Spain

  7. Sparsity by Default: The Theory and Practice of ARD in Gaussian Process Regression for Variable Selection

    Sep 27, 2026Jia CaiGaussian ProcessSparsity

    Department of Statistics, George Mason University, Fairfax, Virginia/USA

  8. Calibrated Derivative-Process Sensitivity for Gaussian-Process Variable Selection

    Sep 27, 2026Jia CaiGaussian ProcessFalse Discovery Rate

    Department of Statistics, George Mason University Fairfax, Virginia, USA

  9. Residual Correlation as a Diagnostic for Joint-Uncertainty Gains from GP Coregionalisation

    Sep 24, 2026Fangqin Zhou, Joaquin VanschorenGaussian ProcessSpatio-Temporal Correlations

    Eindhoven University of Technology

  10. Resource-Efficient Distributed Recursive Gaussian Processes

    Sep 22, 2026Josephine King, Ali Emre Balci, Raj Thilak RajanGaussian ProcessMulti-Agent Reinforcement Learning

    Signal Processing Systems, Faculty of EEMCS, Delft University of Technology, Mekelweg 4, 2628CD, Delft, The Netherlands

  11. On Basis Function Selection for Sparse Gaussian Process Regression

    Sep 22, 2026Marnix Van Soom, Ivan De BoiGaussian ProcessBasis Functions

    AI Lab Vrije Universiteit Brussel · InViLab University of Antwerp

  12. Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifier

    Sep 21, 2026Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1Surgical VideosSurgery

    Applied Robotics and AI Solutions (ARAS), Faculties of Electrical and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran · Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, Quebec, Canada

  13. COIN-GP: Cooperative Online Learning in Networked Distributed Systems with Partial Measurements via Gaussian Process Regression

    Sep 17, 2026Zewen Yang, Xiaobing Dai, Zhenxiao Yin +3Gaussian ProcessState Estimation

    Chair of Robotics and Systems Intelligence (RSI), Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich (TUM), 80992 Munich, Germany · Technical University of Munich, 80333 Munich, Germany · The Hong Kong University of Science and Technology (Guangzhou) +2

  14. Online Adaptive Kernel Mixing for Gaussian Process Decision Making

    Sep 17, 2026Kavin Aravindan, Mani Tej Sriram, Gautam Dasarathy +1Gaussian ProcessKernel Method

    International Institute of Information Technology, Hyderabad · Arizona State University

  15. Personalized Federated Hierarchical Gaussian Processes for Privacy-Preserving Modeling of Heterogeneous Distributed Systems

    Sep 16, 2026Xianjian Xie, Hao YanGaussian ProcessDistributed Optimization

    Arizona State University

  16. A General Kernel Framework for Non-CND Distance Measures Using |D|-Dimensional Sparse Landmark Embeddings

    Sep 16, 2026Marcus M. Noack, Maher B. Alghalayini, Mark D. RisserKernel MethodSpherical Latent Space

    Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory Berkeley, CA 94720, USA · Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory Berkeley, CA 94720, USA

  17. Gaussian Processes for Modelling Spatial Fields with Robot Swarms

    Sep 15, 2026Guillermo Legarda Herranz, Gianpiero Francesca, Mauro BirattariSwarmsSpatiotemporal Fields

    IRIDIA, Universit´e libre de Bruxelles, 1050 Brussels, Belgium · Toyota Motor Europe

  18. Online Gradient Computation for Warping Gaussian Process Transformations

    Sep 15, 2026Emilio Ruiz-Moreno, Konstantinos Slavakis, Baltasar Beferull-LozanoGaussian ProcessWasserstein Gradient Flows

    SIGIPRO Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway · SURE-AI Center, Simula Research Laboratory, Oslo, Norway · Institute of Science Tokyo, Yokohama, Japan

  19. Physics Informed Random Feature Neural Networks for Solving PDEs

    Sep 14, 2026Chi-An Chen, Chunyang Liao, Ming ZhongPartial Differential EquationsKernel Method

    Department of Applied Mathematics, Mathematics, Illinois Institute of Technology, Chicago, IL, 60616 · Department of Mathematical Sciences, University of Arkansas, Fayetteville, AR, 72701 · Department of Mathematics, University of Houston, Houston, TX, 77204

  20. Bayesian Optimisation Using Product-of-Experts Gaussian Process Models with Uncertainty Calibration

    Sep 14, 2026Yean Hoon OngGaussian ProcessCalibrated Uncertainty

    University College London London, United Kingdom

  21. Safety-aware Skill Adaptation for Reinforcement Learning in Dynamic Environments

    Sep 11, 2026A K M Nadimul Haque, Sheila Sutjipto, Marc G. Carmichael +1Obstacle AvoidanceSafety Constraints

    Robotics Institute, University of Technology Sydney, Australia

  22. Learning Agent-based Model Predictive Control for Holistic Vehicle Performance

    Sep 11, 2026Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani +4Model Predictive ControlGaussian Process

    Mechatronic Vehicle Systems (MVS) Lab, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave West, Waterloo ON, N2L3G1 Canada · Department of Mechanical Engineering, University of Ottawa, 75 Laurier Ave East, Ottawa, ON, K1N 6N5 Canada · General Motors Company, Warren, MI 48090 USA +1

  23. Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction

    Sep 8, 2026Yousra El-Bachir, Frederik Van der Veken, Davide di Croce +4Gaussian ProcessEmpirical Bayes

    Swiss Data Science Center, ETH Zurich & EPFL · CERN, Geneva · EPFL, Lausanne; CERN, Geneva

  24. The Art of Hierarchical Competing Patterns: Gaussian Process Optimization of Hyphenation

    Sep 7, 2026Ondřej Sojka, Petr SojkaGeneral Grid Search FrameworkPrompt Optimization

    Faculty of Informatics, Masaryk University · Faculty of Informatics, Masaryk University, Brno, Czech Republic

  25. No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels

    Sep 2, 2026Edvin Ketabati Augustinsson, Robert A. BridgesBayesian OptimizationGaussian Process

    AI Sweden, Gothenburg, Sweden

  26. Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization

    Aug 17, 2026Shion Takeno, Shogo IwazakiGaussian ProcessThompson Sampling

    Nagoya University · MI-6 Ltd.

  27. A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression

    Aug 12, 2026Wouter W. L. Nuijten, Esther G. van Pelt, Albert Podusenko +2Gaussian ProcessFactor Graphs

    Eindhoven University of Technology & Lazy Dynamics B.V., the Netherlands · Eindhoven University of Technology, Eindhoven, the Netherlands · Lazy Dynamics B.V., the Netherlands

  28. ErgoSurf: Ergodic Control for the Coverage of Unknown Surfaces

    Aug 6, 2026Stefan Schneyer, Timo Bachmann, Maged Iskandar +4Surface ReconstructionRobot Systems

    German Aerospace Center (DLR), Institute of Robotics and Mechatronics (RM), Münchener Str. 20, 82234 Weßling, Germany · Technical University of Munich (TUM); School of Computation, Information and Technology; Boltzmannstr. 3, 85748 Garching, Germany

  29. Recursive Gaussian Processes and the Bayesian Brain

    Aug 1, 2026Moumita Das, Dipanjan Ray, Sourabh BhattacharyaPredictive CodingGaussian Process

    1Indian Institute of Management, Udaipur, India · Department of Psychology and Cognitive Sciences, Ashoka University, Haryana, India · 3Koita Centre for Digital Health at Ashoka (KCDH-A), Haryana, India +1

  30. Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

    Jul 28, 2026Daniel Kua, Yan SongSpatiotemporal FieldsGenerative Models

    Department of Statistics, University of British Columbia

  31. Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization

    Jul 26, 2026Jaewook Lee, Ethan Errington, Christian D. Lorenz +1Bayesian OptimizationGaussian Process

    Department of Engineering, King’s College London, London, WC2R 2LS, United Kingdom.

  32. Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities

    Jul 25, 2026Jeremy OvadiaGaussian ProcessSpatiotemporal

    Sequoia Research Corporation 2875 Temple Ave Signal Hill, CA, 90755, USA

  33. Adaptive Bayesian Online Learning via Expert Aggregation

    Jul 22, 2026Jungbin Jun, Ilsang OhnLearning-Augmented AlgorithmsBayesian

    Department of Statistics Inha University Incheon, 22212, South Korea

  34. A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling

    Jul 21, 2026Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1Gaussian ProcessDimensionality Reduction

    Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH · Department of Mathematics, Purdue University, West Lafayette, IN

  35. Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods

    Jul 21, 2026Seyed Mohammadreza Alavi, Ardeshir Shojaeinasab, Reza Jalayer +2VibrationFault Diagnosis

    Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran · Department of Electrical and Computer Engineering, University of Victoria, Victoria BC, Canada · FAST-Lab, Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 7, 33720 Tampere, Finland +1

  36. Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography

    Jul 15, 2026Boyuan Deng, Kshitiz Upadhyay, Michael ShieldsComplex WavefieldBayesian Inverse Problems

    Department of Civil and Systems Engineering, Johns Hopkins University · Department of Aerospace Engineering and Mechanics, University of Minnesota

  37. Hierarchical Bayesian Quadrature

    Jul 12, 2026Tim Weiland, Toni Karvonen, Philipp HennigBayesian QuadratureBayesian Inference

    Tübingen AI Center, University of Tübingen, Tübingen, Germany · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland

  38. Fast Data-Driven Modeling of Hydraulic Clutch Control Pressure with Latch-State Classification and Gaussian Process Regression

    Jul 11, 2026Yash Bagla, Jason SchneiderData-DrivenFluid Dynamics

    Drive System Design Farmington Hills, Michigan, 48335

  39. Deep Gaussian Processes on Directed Acyclic Graphs

    Jul 10, 2026Federico L. Perlino, Oliver Hamelijnck, Adam M. Johansen +1Directed Acyclic GraphGaussian Process

    Department of Statistics, University of Warwick · 2AI Team, Unilink Software Ltd · Department of Computer Science, University of Warwick

  40. Pitfalls and Remedies for Multi-Task Bayesian Optimization

    Jul 10, 2026Carl Hvarfner, Sam Daulton, Max Balandat +1Bayesian OptimizationGaussian Process

    Meta

  41. Quantitative Gaussian-Process limits of Tensor Programs

    Jul 7, 2026Andrea Agazzi, Eloy Mosig García, Dario TrevisanTwo-Layer Neural NetworksGaussian Process

  42. How Many Initial Points Does Bayesian Optimization Need?

    Jul 5, 2026Mujin Cheon, James Odgers, Dong-Yeun Koh +1Bayesian OptimizationThompson Sampling

    Korea Advanced Institute of Science & Technology (KAIST) · HayanMind Inc. · Technical University of Nuremberg (UTN) +3

  43. Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data

    Jul 2, 2026Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis +1Multi-Omic IntegrationBacterial Colony Counting

    Department of Mathematical Sciences Durham University Durham, United Kingdom · STFC Hartree Centre University of Liverpool Liverpool, United Kingdom · STFC Hartree Centre Daresbury, United Kingdom

  44. Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization

    Jul 1, 2026Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa JoseQuantum KernelsVariational Quantum Algorithms

    Department of Mathematics, National University of Singapore, Singapore · Department of Electrical and Computer Engineering, National University of Singapore, Singapore · School of Computer Science, University of Birmingham, Birmingham, United Kingdom

  45. Sequential sparse Gaussian process quantile regression

    Jun 30, 2026Hugo Nicolas, Olivier Le MaîtreGaussian ProcessQuantile Regression

    PLATON, CMAP · Inria, Center for Applied Mathematics, ´Ecole polytechnique, Institut Polytechnique de Paris, Palaiseau, France · CNRS, Center for Applied Mathematics, ´Ecole polytechnique, Institut Polytechnique de Paris, Palaiseau, France

  46. Dynamic Gaussian Processes and the Vanilla-SPDE Exchange

    Jun 30, 2026Rui-Yang Zhang, Lachlan Astfalck, Edward Cripps +2Gaussian ProcessSpatiotemporal Fields

    School of Mathematical Sciences, Lancaster University. · School of Mathematics and Statistics, The University of New South Wales. · School of Physics, Mathematics and Computing, the University of Western Australia.

  47. Online Data Selection for Instruction Tuning via Gaussian Processes

    Jun 29, 2026Jun Wang, Quoc Phong Nguyen, Julien Monteil +1Instruction TuningGaussian Process

    Amazon

  48. A Bayesian latent Gaussian process framework for aerodynamic uncertainty quantification

    Jun 27, 2026Geoffrey Davis, Ashwin RenganathanAerodynamicsCalibrated Uncertainty

    Undergraduate research assistant, Aerospace Engineering, The Pennsylvania State University, University Park, PA 16802 · Assistant professor, Aerospace Engineering and the Institute of Computational and Data Science (ICDS), The Pennsylvania State University, University Park, PA 16802

  49. Active Quantum Kernel Acquisition for Gaussian Process Regression

    Jun 27, 2026Jian Xu, Artur Miroszewski, John Paisley +2Quantum KernelsGaussian Process

    RIKEN iTHEMS · RIKEN AIP · European Space Agency +2

  50. Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability

    Jun 22, 2026Qi Li, Yuliang Huang, Shaheer U. Saeed +7Semi-Supervised Medical Image SegmentationInter-Annotator Agreement

    UCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, U.K. · Centre for Bioengineering, Digital Environment Research Institute, School of Engineering and Materials Science, Queen Mary University of London, London, U.K. · Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, U.K. +4

  51. Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery

    Jun 22, 2026Runzhe Liu, Zihao Wang, Wenbo Yang +1Chemical Process SystemsGaussian Process

    State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian, 116024, China · Dalian Key Laboratory of Intelligent Chemistry, CR Belt and Road Joint Laboratory on Intelligent Chemistry and Advanced Materials of Liaoning Province, School of Chemistry, Dalian University of Technology, Dalian, 116024, China

  52. Scalable Bayesian Additive Models for Stellar Flare Detection via Amortized Gaussian Process Inference and Hidden Markov Models

    Jun 21, 2026Rodrigo Herrera, Vianey Leos-Barajas, Gwendolyn Eadie +2Gaussian ProcessHidden Markov Models

    Department of Statistical Sciences, University of Toronto · Data Sciences Institute, University of Toronto · School of the Environment, University of Toronto +3

  53. Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems

    Jun 21, 2026Yaozhong Shi, Zachary E. Ross, Yisong YuePosterior SamplingBayesian Inverse Problems

    California Institute of Technology

  54. Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding

    Jun 20, 2026Junzhe Zhang, Jingyuan Chen, Elias BareinboimLatent ConfoundersHeterogeneous Treatment Effects

    Department of Electrical Engineering and Computer Science, Syracuse University · Department of Computer Science, Columbia University

  55. Orthogonal Discrepancy Kernels for Learning with Partial Physics

    Jun 19, 2026Swapnil Manna, Timothy J. Rogers, Lawrence BullSystem IdentificationPhysics-Informed Learning

    IISER Pune, India · University of Sheffield, UK · University of Glasgow, UK

  56. Learning-Based Modeling of Soft Robots via Cosserat Rod Theory

    Jun 18, 2026Mohammad Ali, Nithin Senthur Kumar, Eric J. Barth +1Cosserat Rod TheorySoft Robotics

    Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA · Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA

  57. Volterra Generative Models

    Jun 16, 2026Yusen Jia, Bingyan HanScore-Based Diffusion ModelGenerative Models

    The Hong Kong University of Science and Technology (Guangzhou)

  58. Differential Privacy of Gaussian Process Posterior Sampling

    Jun 16, 2026Tomasz MaciazekStandard Differential-PrivacyGaussian Process

    School of Mathematics, University of Bristol

  59. RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping

    Jun 16, 2026Bingbing Zhang, Huan Yin, Yang Xu +4Simultaneous Localization And MappingDigital Elevation Models

    State Key Laboratory of Ocean Sensing, Zhejiang University, China · Interdisciplinary Student Training Platform for Marine areas, Zhejiang University, Hangzhou, China · Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong +3

  60. Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning

    Jun 16, 2026Oriol Vendrell-Gallart, Nima Negarandeh, Ramin BostanabadNeural OperatorsUncertainty Quantification

    Department of Mechanical and Aerospace Engineering University of California, Irvine Irvine, CA 92617