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regression

Papers

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Showing 2201–2250 of 9424 papers

TitleStatusHype
GFN-SR: Symbolic Regression with Generative Flow NetworksCode0
Global Convergence of Online Identification for Mixed Linear Regression—0
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction—0
Union-over-Intersections: Object Detection beyond Winner-Takes-AllCode0
Extrapolating Away from the Cutoff in Regression Discontinuity Designs—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images—0
A Bag of Receptive Fields for Time Series Extrinsic Predictions—0
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization—0
Spatially Adaptive Cloth Regression with Implicit Neural Representations—0
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles—0
(Frisch-Waugh-Lovell)': On the Estimation of Regression Models by Row—0
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift—0
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory—0
Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression—0
Analysis of the expected L_2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization—0
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters—0
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculusCode0
Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression—0
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms—0
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression—0
Regressions under Adverse Conditions—0
Comparative Analysis of Linear Regression, Gaussian Elimination, and LU Decomposition for CT Real Estate Purchase Decisions—0
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
Piecewise Polynomial Regression of Tame Functions via Integer Programming—0
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies—0
Predictive Density Combination Using a Tree-Based Synthesis Function—0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis—0
Classifier Calibration with ROC-Regularized Isotonic Regression—0
The limitation of neural nets for approximation and optimizationCode0
Eliminating Quantization Errors in Classification-Based Sound Source LocalizationCode0
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizationsCode0
Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies—0
Incorporating LLM Priors into Tabular Learners—0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression—0
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIsCode0
BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and ElectrocardiogramCode0
Flat Minima in Linear Estimation and an Extended Gauss Markov TheoremCode0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition—0
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension—0
Co-data Learning for Bayesian Additive Regression TreesCode0
Model Agnostic Explainable Selective Regression via Uncertainty Estimation—0
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression—0
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production—0
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width—0
Statistical learning by sparse deep neural networks—0
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework—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