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regression

Papers

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Showing 876–900 of 9424 papers

TitleStatusHype
NODER: Image Sequence Regression Based on Neural Ordinary Differential EquationsCode0
Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots—0
Mapping savannah woody vegetation at the species level with multispecral drone and hyperspectral EnMAP data—0
Are Linear Regression Models White Box and Interpretable?—0
An integrated perspective of robustness in regression through the lens of the bias-variance trade-offCode0
Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation—0
Spectral Representation for Causal Estimation with Hidden ConfoundersCode0
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation—0
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression—0
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional RegressionCode0
LFFR: Logistic Function For (single-output) RegressionCode0
Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networks—0
Learning High-Frequency Functions Made Easy with Sinusoidal Positional EncodingCode0
MUSCLE: A Model Update Strategy for Compatible LLM Evolution—0
FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313Code0
Comparative analysis of Mixed-Data Sampling (MIDAS) model compared to Lag-Llama model for inflation nowcasting—0
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations—0
Token-Mol 1.0: Tokenized drug design with large language model—0
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration—0
MNeRV: A Multilayer Neural Representation for VideosCode0
CAESar: Conditional Autoregressive Expected ShortfallCode0
Robust Partial Least Squares Using Low Rank and Sparse Decomposition—0
Implicit Regression in Subspace for High-Sensitivity CEST Imaging—0
Differentiable Optimization of Similarity Scores Between Models and BrainsCode0
Certified Continual Learning for Neural Network Regression—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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