SOTAVerified

regression

Papers

Showing 851900 of 9424 papers

TitleStatusHype
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation0
Blind Acoustic Parameter Estimation Through Task-Agnostic Embeddings Using Latent Approximations0
ProRuka: A highly efficient HMI algorithm for controlling a novel prosthetic hand with 6-DOF using sonomyography0
Generalization bounds for regression and classification on adaptive covering input domains0
Classification, Regression and Segmentation directly from k-Space in Cardiac MRICode0
Generating Unseen Code Tests In Infinitum0
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 Method0
Bayesian meta learning for trustworthy uncertainty quantification0
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and AlignmentCode0
Piecewise constant tuning gain based singularity-free MRAC with application to aircraft control systems0
CVA Sensitivities, Hedging and RiskCode0
Speed-enhanced Subdomain Adaptation Regression for Long-term Stable Neural Decoding in Brain-computer Interfaces0
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel MethodsCode0
Optimization of breeding program design through stochastic simulation with evolutionary algorithms0
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance ReductionCode0
Regression under demographic parity constraints via unlabeled post-processing0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models0
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials0
Regression prediction algorithm for energy consumption regression in cloud computing based on horned lizard algorithm optimised convolutional neural network-bidirectional gated recurrent unit0
Conformal Thresholded Intervals for Efficient RegressionCode0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression0
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls0
Non-Asymptotic Uncertainty Quantification in High-Dimensional LearningCode0
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression0
NODER: Image Sequence Regression Based on Neural Ordinary Differential EquationsCode0
Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots0
Mapping savannah woody vegetation at the species level with multispecral drone and hyperspectral EnMAP data0
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 extrapolation0
Spectral Representation for Causal Estimation with Hidden ConfoundersCode0
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation0
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression0
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 Networks0
Learning High-Frequency Functions Made Easy with Sinusoidal Positional EncodingCode0
MUSCLE: A Model Update Strategy for Compatible LLM Evolution0
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 nowcasting0
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations0
Token-Mol 1.0: Tokenized drug design with large language model0
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration0
MNeRV: A Multilayer Neural Representation for VideosCode0
CAESar: Conditional Autoregressive Expected ShortfallCode0
Robust Partial Least Squares Using Low Rank and Sparse Decomposition0
Implicit Regression in Subspace for High-Sensitivity CEST Imaging0
Differentiable Optimization of Similarity Scores Between Models and BrainsCode0
Certified Continual Learning for Neural Network Regression0
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Benchmark Results

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