Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 13
Gaussian Process
Papers archive 2025-07-28
archive papers tagged: 2,473 · with a code link: 734 · where Syntology ran a sample: 155 (130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (155 of 2,473 tagged: 130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument)
Page 13 of 25: papers 1,201 to 1,300 of 2,473, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Cloud-Assisted Collaborative Road Information Discovery with Gaussian Process: Application to Road Profile Estimation 13 Oct 2021 · 0 repositories · arXiv:2110.06977
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Incremental Ensemble Gaussian Processes 13 Oct 2021 · 0 repositories · arXiv:2110.06777
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Analysis of False Data Injection Impact on AI based Solar Photovoltaic Power Generation Forecasting 12 Oct 2021 · 0 repositories · arXiv:2110.09948
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Satellite galaxy abundance dependency on cosmology in Magneticum simulations 11 Oct 2021 · 1 repository · arXiv:2110.05498
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Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression 11 Oct 2021 · 0 repositories · arXiv:2110.05525
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Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease 10 Oct 2021 · 0 repositories · arXiv:2110.04903
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Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model 9 Oct 2021 · 1 repository · arXiv:2111.00873
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Kernel Interpolation as a Bayes Point Machine 8 Oct 2021 · 1 repository · arXiv:2110.04274
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Dense Gaussian Processes for Few-Shot Segmentation 7 Oct 2021 · 1 repository · arXiv:2110.03674
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Gaussian Process for Trajectories 7 Oct 2021 · 0 repositories · arXiv:2110.03712
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Optimal Turnover, Liquidity, and Autocorrelation 7 Oct 2021 · 0 repositories · arXiv:2110.03810
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Time Series Forecasting Using Manifold Learning 7 Oct 2021 · 0 repositories · arXiv:2110.03625
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Bayesian neural network unit priors and generalized Weibull-tail property 6 Oct 2021 · 0 repositories · arXiv:2110.02885
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Contextual Combinatorial Bandits with Changing Action Sets via Gaussian Processes 5 Oct 2021 · 1 repository · arXiv:2110.02248Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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On the Correspondence between Gaussian Processes and Geometric Harmonics 5 Oct 2021 · 0 repositories · arXiv:2110.02296
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Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs 3 Oct 2021 · 0 repositories · arXiv:2110.00921
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Treeging 3 Oct 2021 · 0 repositories · arXiv:2110.01053
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Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning 1 Oct 2021 · 1 repository · arXiv:2110.00568
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Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties 1 Oct 2021 · 1 repository · arXiv:2110.03522
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Surveillance Evasion Through Bayesian Reinforcement Learning 30 Sep 2021 · 1 repository · arXiv:2109.14811
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Amortized Posterior on Latent Variables in Gaussian Process 29 Sep 2021 · 0 repositories
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Deep Ensemble as a Gaussian Process Posterior 29 Sep 2021 · 0 repositories
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Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data 29 Sep 2021 · 1 repository · arXiv:2109.14171
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Towards Non-Parametric Models for Confidence Aware Video Prediction on Smooth Dynamics 29 Sep 2021 · 0 repositories
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Transfer Learning for Bayesian HPO with End-to-End Meta-Features 29 Sep 2021 · 0 repositories
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Variational Inference for Continuous-Time Switching Dynamical Systems 29 Sep 2021 · 0 repositories · arXiv:2109.14492
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Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect 28 Sep 2021 · 0 repositories · arXiv:2109.13891
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Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach 23 Sep 2021 · 0 repositories · arXiv:2109.12111
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Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery 23 Sep 2021 · 0 repositories · arXiv:2109.11579
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A Latent Restoring Force Approach to Nonlinear System Identification 22 Sep 2021 · 0 repositories · arXiv:2109.10681
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A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems 22 Sep 2021 · 0 repositories · arXiv:2109.10898
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MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning 22 Sep 2021 · 0 repositories · arXiv:2109.10552
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Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy 21 Sep 2021 · 0 repositories · arXiv:2109.10219
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Barely Biased Learning for Gaussian Process Regression 20 Sep 2021 · 0 repositories · arXiv:2109.09417
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Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process 20 Sep 2021 · 2 repositories · arXiv:2109.09817
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Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization 20 Sep 2021 · 0 repositories · arXiv:2109.09261
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Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction 19 Sep 2021 · 0 repositories · arXiv:2109.09189
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Pre-trained Gaussian Processes for Bayesian Optimization 16 Sep 2021 · 4 repositories · arXiv:2109.08215Syntology official (archive's flag): 1 ran · 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 7 unverified (of 14 harvested samples) · 2 pointer-only (licence)
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Non-smooth Bayesian Optimization in Tuning Problems 15 Sep 2021 · 1 repository · arXiv:2109.07563
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Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes 10 Sep 2021 · 0 repositories · arXiv:2109.04868
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KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots 10 Sep 2021 · 0 repositories · arXiv:2109.04821
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Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks 9 Sep 2021 · 0 repositories · arXiv:2109.04188
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Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors 8 Sep 2021 · 0 repositories · arXiv:2109.03457
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Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning 6 Sep 2021 · 0 repositories · arXiv:2109.02411
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Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows 6 Sep 2021 · 0 repositories · arXiv:2109.02521
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Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications 6 Sep 2021 · 1 repository · arXiv:2109.02606Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 7 harvested samples)
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Assisting Decision Making in Scholarly Peer Review: A Preference Learning Perspective 2 Sep 2021 · 0 repositories · arXiv:2109.01190
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Bayesian data combination model with Gaussian process latent variable model for mixed observed variables under NMAR missingness 1 Sep 2021 · 0 repositories · arXiv:2109.00462
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Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems 1 Sep 2021 · 0 repositories · arXiv:2109.00538
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Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression 31 Aug 2021 · 0 repositories · arXiv:2109.00046
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A theory of representation learning gives a deep generalisation of kernel methods 30 Aug 2021 · 0 repositories · arXiv:2108.13097
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Neural Network Gaussian Processes by Increasing Depth 29 Aug 2021 · 1 repository · arXiv:2108.12862
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Uncertainty quantification for multiclass data description 29 Aug 2021 · 0 repositories · arXiv:2108.12857
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Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem 25 Aug 2021 · 0 repositories · arXiv:2108.11141
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Optimal Order Simple Regret for Gaussian Process Bandits 20 Aug 2021 · 0 repositories · arXiv:2108.09262
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Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization 19 Aug 2021 · 1 repository · arXiv:2108.08890
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Efficient TMS-Based Motor Cortex Mapping Using Gaussian Process Active Learning 18 Aug 2021 · 0 repositories
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Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability 16 Aug 2021 · 1 repository · arXiv:2108.06907
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Variational Inference at Glacier Scale 16 Aug 2021 · 0 repositories · arXiv:2108.07263
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Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations 14 Aug 2021 · 1 repository · arXiv:2108.06514
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Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning 14 Aug 2021 · 0 repositories · arXiv:2108.06618
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Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes 14 Aug 2021 · 0 repositories · arXiv:2108.06430
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Active Learning for Saddle Point Calculation 10 Aug 2021 · 0 repositories · arXiv:2108.04698
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An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting 5 Aug 2021 · 1 repository · arXiv:2108.04058
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Active Learning in Gaussian Process State Space Model 30 Jul 2021 · 0 repositories · arXiv:2108.00819
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Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization 30 Jul 2021 · 1 repository · arXiv:2107.14465
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Bayesian Optimization for Min Max Optimization 29 Jul 2021 · 1 repository · arXiv:2107.13772
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MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS 29 Jul 2021 · 1 repository · arXiv:2107.14362
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Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models 26 Jul 2021 · 1 repository · arXiv:2107.12250
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A brief note on understanding neural networks as Gaussian processes 25 Jul 2021 · 0 repositories · arXiv:2107.11892
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Inference for High Dimensional Censored Quantile Regression 22 Jul 2021 · 1 repository · arXiv:2107.10959
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A variational approximate posterior for the deep Wishart process 21 Jul 2021 · 1 repository · arXiv:2107.10125Syntology official (archive's flag): 7 ran · 7 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 10 harvested samples) · 10 pointer-only (licence)
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Online structural kernel selection for mobile health 21 Jul 2021 · 0 repositories · arXiv:2107.09949
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Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions 16 Jul 2021 · 0 repositories · arXiv:2107.08035
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Hida-Matérn Kernel 15 Jul 2021 · 0 repositories · arXiv:2107.07098
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Principal component analysis for Gaussian process posteriors 15 Jul 2021 · 0 repositories · arXiv:2107.07115
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Hybrid Bayesian Neural Networks with Functional Probabilistic Layers 14 Jul 2021 · 0 repositories · arXiv:2107.07014
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Spectrum Gaussian Processes Based On Tunable Basis Functions 14 Jul 2021 · 0 repositories · arXiv:2107.06473
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Automated Learning Rate Scheduler for Large-batch Training 13 Jul 2021 · 1 repository · arXiv:2107.05855Syntology official (archive's flag): 3 ran · 3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 3 samples that ran constructed an object rather than computing a result (of 3 harvested samples)
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Parameter selection in Gaussian process interpolation: an empirical study of selection criteria 13 Jul 2021 · 0 repositories · arXiv:2107.06006
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Computational modelling and data-driven homogenisation of knitted membranes 12 Jul 2021 · 0 repositories · arXiv:2107.05707
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Diverse Video Generation using a Gaussian Process Trigger 9 Jul 2021 · 1 repository · arXiv:2107.04619
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Gaussian Process Subspace Regression for Model Reduction 9 Jul 2021 · 1 repository · arXiv:2107.04668
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Learning-Based Nonlinear H^∞ Control via Game-Theoretic Differential Dynamic Programming 9 Jul 2021 · 0 repositories · arXiv:2107.04507
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Scaling Gaussian Processes with Derivative Information Using Variational Inference 8 Jul 2021 · 0 repositories · arXiv:2107.04061
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Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation 7 Jul 2021 · 1 repository · arXiv:2107.03442
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Probabilistic partition of unity networks: clustering based deep approximation 7 Jul 2021 · 0 repositories · arXiv:2107.03066
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Samplets: A new paradigm for data compression 7 Jul 2021 · 0 repositories · arXiv:2107.03337
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EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data 6 Jul 2021 · 1 repository · arXiv:2107.02463
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Weighted Gaussian Process Bandits for Non-stationary Environments 6 Jul 2021 · 0 repositories · arXiv:2107.02371
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Deep Gaussian Process Emulation using Stochastic Imputation 4 Jul 2021 · 1 repository · arXiv:2107.01590
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Impedance-based Capacity Estimation for Lithium-Ion Batteries Using Generative Adversarial Network 2 Jul 2021 · 0 repositories · arXiv:2107.06177
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Learned Global Optimization for Inverse Scattering Problems -- Matching Global Search with Computational Efficiency 1 Jul 2021 · 0 repositories · arXiv:2107.00332
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Relational VAE: A Continuous Latent Variable Model for Graph Structured Data 30 Jun 2021 · 1 repository · arXiv:2106.16049
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Evolving-Graph Gaussian Processes 29 Jun 2021 · 1 repository · arXiv:2106.15127Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples)
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Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios 28 Jun 2021 · 0 repositories · arXiv:2106.14841
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Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors 26 Jun 2021 · 0 repositories · arXiv:2106.15356
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Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model 25 Jun 2021 · 0 repositories · arXiv:2106.13379
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Bayesian Optimization with High-Dimensional Outputs 24 Jun 2021 · 3 repositories · arXiv:2106.12997Syntology official (archive's flag): 4 ran · 13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 1 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 18 harvested samples) · 1 pointer-only (licence)
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Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks 24 Jun 2021 · 0 repositories · arXiv:2106.13327