Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 16
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 16 of 25: papers 1,501 to 1,600 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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A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters 18 Nov 2020 · 0 repositories · arXiv:2011.09335
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Understanding Variational Inference in Function-Space 18 Nov 2020 · 2 repositories · arXiv:2011.09421
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Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems 17 Nov 2020 · 0 repositories · arXiv:1910.12901
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Factorized Gaussian Process Variational Autoencoders 14 Nov 2020 · 1 repository · arXiv:2011.07255
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Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics 14 Nov 2020 · 0 repositories · arXiv:2011.07183
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Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation 14 Nov 2020 · 0 repositories · arXiv:2011.07193
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Energy consumption forecasting using a stacked nonparametric Bayesian approach 11 Nov 2020 · 0 repositories · arXiv:2011.05519
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Towards NNGP-guided Neural Architecture Search 11 Nov 2020 · 1 repository · arXiv:2011.06006
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A bivariate Normal Inverse Gaussian process with stochastic delay: efficient simulations and applications to energy markets 9 Nov 2020 · 0 repositories · arXiv:2011.04256
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Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds 9 Nov 2020 · 0 repositories · arXiv:2011.06058
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Pathwise Conditioning of Gaussian Processes 8 Nov 2020 · 2 repositories · arXiv:2011.04026
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Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women 7 Nov 2020 · 0 repositories · arXiv:2011.03715
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Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? 6 Nov 2020 · 1 repository · arXiv:2011.03178
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Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders 4 Nov 2020 · 0 repositories · arXiv:2011.02551
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Bayesian Variational Optimization for Combinatorial Spaces 3 Nov 2020 · 0 repositories · arXiv:2011.02004
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Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix 3 Nov 2020 · 0 repositories · arXiv:2011.01741
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Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process 3 Nov 2020 · 0 repositories · arXiv:2011.01647
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Sample-efficient reinforcement learning using deep Gaussian processes 2 Nov 2020 · 0 repositories · arXiv:2011.01226
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Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks 30 Oct 2020 · 1 repository · arXiv:2011.00003
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Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective 29 Oct 2020 · 1 repository · arXiv:2010.15750Syntology official (archive's flag): 4 ran · 4 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 9 harvested samples) · 9 pointer-only (licence)
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Matérn Gaussian Processes on Graphs 29 Oct 2020 · 0 repositories · arXiv:2010.15538
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A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance 27 Oct 2020 · 1 repository · arXiv:2010.13997
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Are wider nets better given the same number of parameters? 27 Oct 2020 · 2 repositories · arXiv:2010.14495Syntology 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) · 2 unverified (of 8 harvested samples)
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Scalable Gaussian Process Variational Autoencoders 26 Oct 2020 · 2 repositories · arXiv:2010.13472Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 9 unverified (of 18 harvested samples)
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Variational Bayesian Unlearning 24 Oct 2020 · 0 repositories · arXiv:2010.12883
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MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression 23 Oct 2020 · 0 repositories · arXiv:2010.04487
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Ranking Creative Language Characteristics in Small Data Scenarios 23 Oct 2020 · 0 repositories · arXiv:2010.12613
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Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference 23 Oct 2020 · 0 repositories · arXiv:2010.14056
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Federated Bayesian Optimization via Thompson Sampling 20 Oct 2020 · 1 repository · arXiv:2010.10154
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Sparse Gaussian Process Variational Autoencoders 20 Oct 2020 · 1 repository · arXiv:2010.10177
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Stationary Activations for Uncertainty Calibration in Deep Learning 19 Oct 2020 · 1 repository · arXiv:2010.09494Syntology 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) · 0 unverified (of 1 harvested sample)
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Movement-induced Priors for Deep Stereo 18 Oct 2020 · 1 repository · arXiv:2010.09105
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KrigHedge: Gaussian Process Surrogates for Delta Hedging 16 Oct 2020 · 1 repository · arXiv:2010.08407
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Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces 16 Oct 2020 · 1 repository · arXiv:2010.08349
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The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks 16 Oct 2020 · 1 repository · arXiv:2010.08488Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 5 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Graph Based Gaussian Processes on Restricted Domains 14 Oct 2020 · 0 repositories · arXiv:2010.07242
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Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit 14 Oct 2020 · 1 repository · arXiv:2010.07355
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Local Differential Privacy for Bayesian Optimization 13 Oct 2020 · 0 repositories · arXiv:2010.06709
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Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion 12 Oct 2020 · 1 repository · arXiv:2010.05386
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Online Learning and Distributed Control for Residential Demand Response 11 Oct 2020 · 0 repositories · arXiv:2010.05153
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Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids 9 Oct 2020 · 0 repositories · arXiv:2010.04591
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Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems 8 Oct 2020 · 0 repositories · arXiv:2010.04248
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Emulator-based global sensitivity analysis for flow-like landslide run-out models 8 Oct 2020 · 0 repositories · arXiv:2010.04056
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Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach 8 Oct 2020 · 1 repository · arXiv:2010.04028
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Bayesian Optimized Monte Carlo Planning 7 Oct 2020 · 1 repository · arXiv:2010.03597
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An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence 6 Oct 2020 · 0 repositories · arXiv:2010.02709
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Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs 6 Oct 2020 · 0 repositories · arXiv:2010.02574
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Splitting Gaussian Process Regression for Streaming Data 6 Oct 2020 · 0 repositories · arXiv:2010.02424
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Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty 5 Oct 2020 · 0 repositories · arXiv:2010.02800
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Short-term prediction of photovoltaic power generation using Gaussian process regression 5 Oct 2020 · 0 repositories · arXiv:2010.02275
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Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models 5 Oct 2020 · 1 repository · arXiv:2010.03029
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BOSS: Bayesian Optimization over String Spaces 2 Oct 2020 · 1 repository · arXiv:2010.00979Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples)
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Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets 2 Oct 2020 · 0 repositories · arXiv:2010.01052
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Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering 29 Sep 2020 · 0 repositories · arXiv:2009.14178
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Multi-task Causal Learning with Gaussian Processes 27 Sep 2020 · 1 repository · arXiv:2009.12821
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Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems 25 Sep 2020 · 0 repositories · arXiv:2009.12463
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Stein Variational Gaussian Processes 25 Sep 2020 · 1 repository · arXiv:2009.12141
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An Intuitive Tutorial to Gaussian Process Regression 22 Sep 2020 · 3 repositories · arXiv:2009.10862
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Cross-Entropy Method Variants for Optimization 18 Sep 2020 · 2 repositories · arXiv:2009.09043
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Real-Time Optimization Meets Bayesian Optimization and Derivative-Free Optimization: A Tale of Modifier Adaptation 18 Sep 2020 · 0 repositories · arXiv:2009.08819
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Designing Compact Features for Remote Stroke Rehabilitation Monitoring using Wearable Accelerometers 17 Sep 2020 · 0 repositories · arXiv:2009.08798
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Mean-Variance Analysis in Bayesian Optimization under Uncertainty 17 Sep 2020 · 0 repositories · arXiv:2009.08166
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Interpolating Log-Determinant and Trace of the Powers of Matrix A + t B 15 Sep 2020 · 3 repositories · arXiv:2009.07385
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On Information Gain and Regret Bounds in Gaussian Process Bandits 15 Sep 2020 · 0 repositories · arXiv:2009.06966
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Tracking disease outbreaks from sparse data with Bayesian inference 12 Sep 2020 · 0 repositories · arXiv:2009.05863
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Symplectic Gaussian Process Regression of Hamiltonian Flow Maps 11 Sep 2020 · 0 repositories · arXiv:2009.05569
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Generalized Multi-Output Gaussian Process Censored Regression 10 Sep 2020 · 1 repository · arXiv:2009.04822
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Contraction ℒ₁-Adaptive Control using Gaussian Processes 8 Sep 2020 · 0 repositories · arXiv:2009.03864
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Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions 8 Sep 2020 · 0 repositories · arXiv:2009.04410
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Physics-informed Gaussian Process for Online Optimization of Particle Accelerators 8 Sep 2020 · 0 repositories · arXiv:2009.03566
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Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People 8 Sep 2020 · 0 repositories · arXiv:2009.03722
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Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition 8 Sep 2020 · 0 repositories · arXiv:2009.03543
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Non-parametric generalized linear model 2 Sep 2020 · 0 repositories · arXiv:2009.01362
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Real Image Super Resolution Via Heterogeneous Model Ensemble using GP-NAS 2 Sep 2020 · 0 repositories · arXiv:2009.01371
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Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments 1 Sep 2020 · 0 repositories · arXiv:2009.00221
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Modulating Scalable Gaussian Processes for Expressive Statistical Learning 29 Aug 2020 · 1 repository · arXiv:2008.12922
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Machine learning thermal circuit network model for thermal design optimization of electronic circuit board layout with transient heating chips 28 Aug 2020 · 0 repositories · arXiv:2008.13571
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Bayesian Force Fields from Active Learning for Simulation of Inter-Dimensional Transformation of Stanene 26 Aug 2020 · 3 repositories · arXiv:2008.11796
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Variable selection for Gaussian process regression through a sparse projection 25 Aug 2020 · 0 repositories · arXiv:2008.10769
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Exoplanet Validation with Machine Learning: 50 new validated Kepler planets 24 Aug 2020 · 0 repositories · arXiv:2008.10516
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Fast Approximate Multi-output Gaussian Processes 22 Aug 2020 · 1 repository · arXiv:2008.09848
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On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization 20 Aug 2020 · 0 repositories · arXiv:2008.08757
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Improving predictions of Bayesian neural nets via local linearization 19 Aug 2020 · 1 repository · arXiv:2008.08400Syntology 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) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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Bayesian neural networks and dimensionality reduction 18 Aug 2020 · 0 repositories · arXiv:2008.08044
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No COVID-19 Climate Silver Lining in the US Power Sector 15 Aug 2020 · 1 repository · arXiv:2008.06660
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Preferential Bayesian optimisation with Skew Gaussian Processes 15 Aug 2020 · 0 repositories · arXiv:2008.06677
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Continuous Optimization Benchmarks by Simulation 14 Aug 2020 · 2 repositories · arXiv:2008.06249
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Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems 14 Aug 2020 · 0 repositories · arXiv:2008.06556
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Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations 13 Aug 2020 · 0 repositories · arXiv:2008.05984
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Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP 12 Aug 2020 · 0 repositories · arXiv:2008.05158
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Deep State-Space Gaussian Processes 11 Aug 2020 · 1 repository · arXiv:2008.04733
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Log-modulated rough stochastic volatility models 7 Aug 2020 · 0 repositories · arXiv:2008.03204
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Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes 7 Aug 2020 · 0 repositories · arXiv:2008.02950
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Predicting Crack Growth and Fatigue Life with Surrogate Models 5 Aug 2020 · 0 repositories · arXiv:2008.02324
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Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression 3 Aug 2020 · 0 repositories · arXiv:2008.01066
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Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning 3 Aug 2020 · 1 repository · arXiv:2008.00853
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Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships 3 Aug 2020 · 0 repositories · arXiv:2008.01007
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Cold Posteriors and Aleatoric Uncertainty 31 Jul 2020 · 0 repositories · arXiv:2008.00029
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Finite Versus Infinite Neural Networks: an Empirical Study 31 Jul 2020 · 0 repositories · arXiv:2007.15801
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Random Forests for dependent data 30 Jul 2020 · 2 repositories · arXiv:2007.15421