Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 12
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 12 of 25: papers 1,101 to 1,200 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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EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing 20 Jan 2022 · 0 repositories · arXiv:2201.07973
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Online Time Series Anomaly Detection with State Space Gaussian Processes 18 Jan 2022 · 0 repositories · arXiv:2201.06763
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A visual exploration of Gaussian Processes and Infinite Neural Networks 17 Jan 2022 · 0 repositories
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Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors 17 Jan 2022 · 1 repository · arXiv:2201.06463
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Adaptive Transfer Learning for Plant Phenotyping 14 Jan 2022 · 0 repositories · arXiv:2201.05261
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Density reconstruction from schlieren images through Bayesian nonparametric models 13 Jan 2022 · 2 repositories · arXiv:2201.05233
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On neural network kernels and the storage capacity problem 12 Jan 2022 · 0 repositories · arXiv:2201.04669
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Loss-calibrated expectation propagation for approximate Bayesian decision-making 10 Jan 2022 · 0 repositories · arXiv:2201.03128
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Causal Discovery from Sparse Time-Series Data Using Echo State Network 9 Jan 2022 · 0 repositories · arXiv:2201.02933
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DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering 3 Jan 2022 · 0 repositories · arXiv:2201.00791
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Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression 31 Dec 2021 · 1 repository · arXiv:2201.00655
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Multi-Dimensional Model Compression of Vision Transformer 31 Dec 2021 · 1 repository · arXiv:2201.00043
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Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs 31 Dec 2021 · 0 repositories · arXiv:2112.15383
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When are Iterative Gaussian Processes Reliably Accurate? 31 Dec 2021 · 1 repository · arXiv:2112.15246Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms 26 Dec 2021 · 1 repository · arXiv:2112.13366
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Gaussian Process Bandits with Aggregated Feedback 24 Dec 2021 · 1 repository · arXiv:2112.13029
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Emulation of greenhouse-gas sensitivities using variational autoencoders 22 Dec 2021 · 1 repository · arXiv:2112.12524
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Geodesic squared exponential kernel for non-rigid shape registration 22 Dec 2021 · 0 repositories · arXiv:2112.11853
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Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process 22 Dec 2021 · 0 repositories · arXiv:2112.11667
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ProBF: Learning Probabilistic Safety Certificates with Barrier Functions 22 Dec 2021 · 1 repository · arXiv:2112.12210Syntology official (archive's flag): 1 ran · 1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified; the one sample that ran constructed an object rather than computing a result (of 3 harvested samples)
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Transformers Can Do Bayesian Inference 20 Dec 2021 · 1 repository · arXiv:2112.10510Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample)
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Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions 18 Dec 2021 · 0 repositories · arXiv:2112.09995
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Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification 15 Dec 2021 · 0 repositories · arXiv:2112.08075
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Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow 14 Dec 2021 · 0 repositories · arXiv:2201.00001
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AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers 13 Dec 2021 · 0 repositories · arXiv:2112.07669
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How Good are Low-Rank Approximations in Gaussian Process Regression? 13 Dec 2021 · 1 repository · arXiv:2112.06410
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Gaussian Process Regression With Interpretable Sample-Wise Feature Weights 10 Dec 2021 · 1 repository
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Structure-Preserving Learning Using Gaussian Processes and Variational Integrators 10 Dec 2021 · 0 repositories · arXiv:2112.05451
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Multi-objective simulation optimization of the adhesive bonding process of materials 9 Dec 2021 · 0 repositories · arXiv:2112.06769
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The Peril of Popular Deep Learning Uncertainty Estimation Methods 9 Dec 2021 · 1 repository · arXiv:2112.05000
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Dynamic multi feature-class Gaussian process models 8 Dec 2021 · 0 repositories · arXiv:2112.04495
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A Bayesian take on option pricing with Gaussian processes 7 Dec 2021 · 0 repositories · arXiv:2112.03718
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Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction 7 Dec 2021 · 0 repositories · arXiv:2112.03805
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Multi-Task Learning on Networks 7 Dec 2021 · 0 repositories · arXiv:2112.04891
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Traversing Time with Multi-Resolution Gaussian Process State-Space Models 6 Dec 2021 · 0 repositories · arXiv:2112.03230
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Real-time Informative Surgical Skill Assessment with Gaussian Process Learning 5 Dec 2021 · 0 repositories · arXiv:2112.02598
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Real-time Virtual Intraoperative CT for Image Guided Surgery 5 Dec 2021 · 0 repositories · arXiv:2112.02608
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Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty 3 Dec 2021 · 0 repositories · arXiv:2112.01995
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Bayesian Optimization over Permutation Spaces 2 Dec 2021 · 1 repository · arXiv:2112.01049Syntology 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) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation 1 Dec 2021 · 0 repositories · arXiv:2112.05847
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EDGE: Explaining Deep Reinforcement Learning Policies 1 Dec 2021 · 1 repository
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Efficient Active Learning for Gaussian Process Classification by Error Reduction 1 Dec 2021 · 0 repositories
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Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation 1 Dec 2021 · 0 repositories
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Kernel Functional Optimisation 1 Dec 2021 · 1 repository
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Learning to Learn Dense Gaussian Processes for Few-Shot Learning 1 Dec 2021 · 0 repositories
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Probability-Generating Function Kernels for Spherical Data 1 Dec 2021 · 0 repositories · arXiv:2112.00365
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Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes 1 Dec 2021 · 0 repositories · arXiv:2112.00882
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Scalable Bayesian GPFA with automatic relevance determination and discrete noise models 1 Dec 2021 · 0 repositories
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Self-Adaptable Point Processes with Nonparametric Time Decays 1 Dec 2021 · 0 repositories
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Contextual Combinatorial Multi-output GP Bandits with Group Constraints 29 Nov 2021 · 0 repositories · arXiv:2111.14778
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Dependence between Bayesian neural network units 29 Nov 2021 · 0 repositories · arXiv:2111.14397
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Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization 29 Nov 2021 · 0 repositories · arXiv:2111.14911
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Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling 28 Nov 2021 · 1 repository · arXiv:2111.14008
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Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator 24 Nov 2021 · 0 repositories · arXiv:2111.12787
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State-space deep Gaussian processes with applications 24 Nov 2021 · 1 repository · arXiv:2111.12604
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Critical Initialization of Wide and Deep Neural Networks through Partial Jacobians: General Theory and Applications 23 Nov 2021 · 1 repository · arXiv:2111.12143
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Depth induces scale-averaging in overparameterized linear Bayesian neural networks 23 Nov 2021 · 0 repositories · arXiv:2111.11954
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Improved Inverse-Free Variational Bounds for Sparse Gaussian Processes 22 Nov 2021 · 0 repositories
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Imitation and Supervised Learning of Compliance for Robotic Assembly 20 Nov 2021 · 0 repositories · arXiv:2111.10488
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Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits 19 Nov 2021 · 0 repositories · arXiv:2111.10461
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Learning-Based Repetitive Precision Motion Control with Mismatch Compensation 19 Nov 2021 · 0 repositories · arXiv:2111.10246
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BOiLS: Bayesian Optimisation for Logic Synthesis 11 Nov 2021 · 0 repositories · arXiv:2111.06178
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Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling 11 Nov 2021 · 0 repositories · arXiv:2111.06173
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Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes 10 Nov 2021 · 0 repositories · arXiv:2111.05589
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Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation 9 Nov 2021 · 0 repositories · arXiv:2111.05392
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Misspecified Gaussian Process Bandit Optimization 9 Nov 2021 · 0 repositories · arXiv:2111.05008
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Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers 9 Nov 2021 · 0 repositories · arXiv:2111.04915
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Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes 5 Nov 2021 · 0 repositories · arXiv:2111.03617
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Empirical analysis of representation learning and exploration in neural kernel bandits 5 Nov 2021 · 2 repositories · arXiv:2111.03543
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Dual Parameterization of Sparse Variational Gaussian Processes 5 Nov 2021 · 1 repository · arXiv:2111.03412Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
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Edge Tracing using Gaussian Process Regression 5 Nov 2021 · 1 repository · arXiv:2111.03605
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Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels 2 Nov 2021 · 1 repository · arXiv:2111.01460Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Likelihood-Free Inference in State-Space Models with Unknown Dynamics 2 Nov 2021 · 2 repositories · arXiv:2111.01555
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Spatio-Temporal Variational Gaussian Processes 2 Nov 2021 · 2 repositories · arXiv:2111.01732Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples)
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Geometry-Aware Hierarchical Bayesian Learning on Manifolds 30 Oct 2021 · 0 repositories · arXiv:2111.00184
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Data-driven Uncertainty Quantification in Computational Human Head Models 29 Oct 2021 · 0 repositories · arXiv:2110.15553
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Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation 29 Oct 2021 · 1 repository · arXiv:2110.15739Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples)
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Validating Gaussian Process Models with Simulation-Based Calibration 27 Oct 2021 · 0 repositories · arXiv:2110.15049
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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels 27 Oct 2021 · 0 repositories · arXiv:2110.14423
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Dynamic Causal Bayesian Optimization 26 Oct 2021 · 1 repository · arXiv:2110.13891Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples)
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Learning Robust Controllers Via Probabilistic Model-Based Policy Search 26 Oct 2021 · 0 repositories · arXiv:2110.13576
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Periodic Activation Functions Induce Stationarity 26 Oct 2021 · 2 repositories · arXiv:2110.13572Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples)
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Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks 26 Oct 2021 · 1 repository · arXiv:2110.13330
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Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets 25 Oct 2021 · 0 repositories · arXiv:2110.12752
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Emulation of physical processes with Emukit 25 Oct 2021 · 2 repositories · arXiv:2110.13293
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Variational Gaussian Processes: A Functional Analysis View 25 Oct 2021 · 0 repositories · arXiv:2110.12798
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Learning curves for Gaussian process regression with power-law priors and targets 23 Oct 2021 · 0 repositories · arXiv:2110.12231
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Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes 22 Oct 2021 · 0 repositories · arXiv:2110.11665
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Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds 22 Oct 2021 · 0 repositories · arXiv:2110.12087
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Merging Two Cultures: Deep and Statistical Learning 22 Oct 2021 · 0 repositories · arXiv:2110.11561
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Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations 22 Oct 2021 · 2 repositories · arXiv:2110.11847Syntology 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, 3 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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Bayesian Active Meta-Learning for Black-Box Optimization 19 Oct 2021 · 0 repositories · arXiv:2110.09943
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Data Driven Prediction of Battery Cycle Life Before Capacity Degradation 19 Oct 2021 · 0 repositories · arXiv:2110.09687
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Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes 19 Oct 2021 · 0 repositories · arXiv:2110.10082
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Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning 18 Oct 2021 · 0 repositories · arXiv:2110.09360
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Gravitational wave surrogates through automated machine learning 17 Oct 2021 · 0 repositories · arXiv:2110.08901
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An active learning approach for improving the performance of equilibrium based chemical simulations 15 Oct 2021 · 0 repositories · arXiv:2110.08111
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Choice functions based multi-objective Bayesian optimisation 15 Oct 2021 · 0 repositories · arXiv:2110.08217
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Gaussian Process Bandit Optimization with Few Batches 15 Oct 2021 · 0 repositories · arXiv:2110.07788
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Spatio-temporal extreme event modeling of terror insurgencies 15 Oct 2021 · 0 repositories · arXiv:2110.08363