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regression

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Showing 1551–1600 of 9424 papers

TitleStatusHype
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Better Locally Private Sparse Estimation Given Multiple Samples Per UserCode0
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression—0
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesCode0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures—0
Probabilistic Surrogate Model for Accelerating the Design of Electric Vehicle Battery Enclosures for Crash Performance—0
Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers—0
Beta regression mixed model applied to sensory analysis—0
HQOD: Harmonious Quantization for Object DetectionCode0
Quantile Regression using Random Forest Proximities—0
Deciphering Air Travel Disruptions: A Machine Learning ApproachCode0
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances—0
Adaptive Learning for Quantum Linear Regression—0
Efficient Decision Trees for Tensor Regressions—0
Batch Active Learning in Gaussian Process Regression using Derivatives—0
Composite Learning Adaptive Control without Excitation Condition—0
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers—0
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties—0
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression—0
Deep Fréchet Regression—0
Potential weights and implicit causal designs in linear regression—0
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation—0
Distribution Learning for Molecular Regression—0
Generalization bounds for regression and classification on adaptive covering input domains—0
ProRuka: A highly efficient HMI algorithm for controlling a novel prosthetic hand with 6-DOF using sonomyography—0
Blind Acoustic Parameter Estimation Through Task-Agnostic Embeddings Using Latent Approximations—0
Classification, Regression and Segmentation directly from k-Space in Cardiac MRICode0
Generating Unseen Code Tests In Infinitum—0
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression?—0
Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method—0
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and AlignmentCode0
Bayesian meta learning for trustworthy uncertainty quantification—0
CVA Sensitivities, Hedging and RiskCode0
Piecewise constant tuning gain based singularity-free MRAC with application to aircraft control systems—0
Speed-enhanced Subdomain Adaptation Regression for Long-term Stable Neural Decoding in Brain-computer Interfaces—0
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel MethodsCode0
Regression under demographic parity constraints via unlabeled post-processing—0
Optimization of breeding program design through stochastic simulation with evolutionary algorithms—0
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance ReductionCode0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models—0
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials—0
Regression prediction algorithm for energy consumption regression in cloud computing based on horned lizard algorithm optimised convolutional neural network-bidirectional gated recurrent unit—0
Conformal Thresholded Intervals for Efficient RegressionCode0
NODER: Image Sequence Regression Based on Neural Ordinary Differential EquationsCode0
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression—0
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls—0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression—0
Non-Asymptotic Uncertainty Quantification in High-Dimensional LearningCode0
Are Linear Regression Models White Box and Interpretable?—0
Mapping savannah woody vegetation at the species level with multispecral drone and hyperspectral EnMAP data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified