SOTAVerified

regression

Papers

Showing 276–300 of 9424 papers

TitleStatusHype
An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation—0
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology imagesCode0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
Improved 3D Point-Line Mapping Regression for Camera RelocalizationCode3
Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula—0
Dam Volume Prediction Model Development Using ML Algorithms—0
Text classification using machine learning methods—0
Learning with Exact Invariances in Polynomial Time—0
Design of Cavity Backed Slotted Antenna using Machine Learning Regression Model—0
Universality of conformal prediction under the assumption of randomness—0
Sample Selection via Contrastive Fragmentation for Noisy Label RegressionCode0
Differentially Private Iterative Screening Rules for Linear Regression—0
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding—0
Near-optimal Active Regression of Single-Index Models—0
A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction—0
On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data—0
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression NetworksCode0
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression—0
Distributionally Robust Active Learning for Gaussian Process Regression—0
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN ArchitecturesCode0
Gaussian Process Regression for Improved Underwater Navigation—0
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input—0
Human Guided Learning of Transparent Regression Models—0
RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes—0
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models—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