# SYNTHE Source: [SYNTHE]() Collection index: [llms.txt]() A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Benchmarks Page 1 of 66. This is an index page, not the full collection. - [Next index page](): Follow this link to discover more pages. - [Linear Regression on Synthetic Linear Regression (n=50, d=50, K=40, ε=0.2) (train/test)](): Linear Regression; Synthetic Linear Regression (n=50, d=50, K=40, ε=0.2) (train/test). - [Matrix Multiplication Latency on Synthetic Matrix Multiplication Shapes](): Matrix Multiplication Latency; Synthetic Matrix Multiplication Shapes. - [Out-of-sample random-X Regression on Spiked Covariance Model (d/N=0.9, noise=1)](): Out-of-sample random-X regression; Spiked covariance model d/N = 0.9, noise = 1 synthetic (out-of-sample). - [Linear Regression on Synthetic Multi-task Linear Regression (n=d=50, K=40, epsilon=0.2)](): Linear Regression; Synthetic Multi-task Linear Regression (n=d=50, K=40, epsilon=0.2). - [Linear Regression on Synthetic Linear Regression](): Linear Regression; Synthetic Linear Regression. - [Object Classification on VisDA synthetic-to-real 2017](): Object Classification; VisDA synthetic-to-real 2017. - [Node Classification on Cora Synthetic (test)](): Node Classification; Cora Synthetic (test). - [Causal Discovery on Synthetic DAGs](): Causal Discovery; Synthetic DAGs. - [Novel View Synthesis on NeRF Synthetic](): Novel View Synthesis; NeRF Synthetic. - [Human Response Prediction on Synthetic Persona Dataset](): Human Response Prediction; Synthetic Persona Dataset. - [Covariance Estimation on Factor covariance structure synthetic](): Covariance Estimation; Factor covariance structure synthetic. - [Kronecker regression on Synthetic n^2 x d^2 design matrix (test)](): Kronecker regression; Synthetic n^2 x d^2 design matrix (test). - [Principal Component Estimation on Gaussian setting with mean-shift and covariance-shift contamination synthetic (test)](): Principal Component Estimation; Gaussian setting with mean-shift and covariance-shift contamination synthetic (test). - [Regression on Synthetic Spiked Covariance d/N = 0.9 (out-of-sample)](): Regression; Synthetic Spiked Covariance d/N = 0.9 (out-of-sample). - [Kernel Speedup on Synthetic Large Configuration (D=8192, V=128k)](): Kernel Speedup; Synthetic Large Configuration (D=8192, V=128k). - [Linear Regression on Synthetic Multi-task Dataset d=50, K=20, epsilon=0.2 (test)](): Linear Regression; Synthetic Multi-task Dataset d=50, K=20, epsilon=0.2 (test). - [Multi-task Linear Regression on Synthetic Multi-task Linear Regression (n=d=50, ε=0.2) (test)](): Multi-task Linear Regression (Local Parameter Estimation); Synthetic Multi-task Linear Regression (n=d=50, ε=0.2) (test). - [Multi-task Logistic Regression on Synthetic Multi-task Logistic Regression (n=d=50, epsilon=0.2)](): Multi-task Logistic Regression; Synthetic Multi-task Logistic Regression (n=d=50, epsilon=0.2). - [Linear Regression on Linear Regression (synthetic)](): Linear Regression; Linear Regression (synthetic). - [DAG Learning on Synthetic (test)](): DAG Learning; Synthetic (test). - [Conformal Prediction on 5-class synthetic data Example 1 Hard Bin r\* ≤ 0.5](): Conformal Prediction; 5-class synthetic data Example 1 Hard Bin r\* ≤ 0.5. - [Conformal Prediction on 5-class synthetic data Example 1 Marginal](): Conformal Prediction; 5-class synthetic data Example 1 Marginal. - [Lipschitz constant estimation on Randomly generated neural networks small synthetic](): Lipschitz constant estimation; Randomly generated neural networks small synthetic. - [Multi-task Linear Regression (Global Parameter Estimation) on Synthetic Multi-task Linear Regression (n=d=50, ε=0.2) (test)](): Multi-task Linear Regression (Global Parameter Estimation); Synthetic Multi-task Linear Regression (n=d=50, ε=0.2) (test). - [Social Welfare Maximization on Synthetic Polymatrix Games](): Social Welfare Maximization; Synthetic Polymatrix Games. - [Feature Significance Testing on Synthetic Regression N=5e5 (test)](): Feature Significance Testing; Synthetic Regression N=5e5 (test). - [Counterfactual Outcome Estimation on Tumor Growth tau=2 synthetic (test)](): Counterfactual Outcome Estimation; Tumor Growth tau=2 synthetic (test). - [Digraph construction on Erdős–Rényi model synthetic OICA mixing matrices](): Digraph construction; Erdős–Rényi model synthetic OICA mixing matrices. - [IIR Filtering on Synthetic White Noise 44.1kHz](): IIR Filtering; Synthetic White Noise 44.1kHz. - [Conformal Prediction on 5-class Synthetic Data Example 2 covariate shift a=0.5 Marginal](): Conformal Prediction; 5-class Synthetic Data Example 2 covariate shift a=0.5 Marginal. - [Sequence Reconstruction on Synthetic data L = 110](): Sequence Reconstruction; Synthetic data L = 110. - [Tree Explainer Runtime and Stability Analysis on Synthetic data d=100](): Tree Explainer Runtime and Stability Analysis; Synthetic data d=100. - [Tumor Volume Forecasting on Synthetic Cancer Dataset (test)](): Tumor Volume Forecasting; Synthetic Cancer Dataset (test). - [Fused CUDA kernel latency evaluation on normalized synthetic vectors](): Fused CUDA kernel latency evaluation; normalized synthetic vectors. - [3D Shape Completion on ShapeNet synthetic objects (unseen categories)](): 3D Shape Completion; ShapeNet synthetic objects (unseen categories). - [Email Address Extraction on Synthetic dataset](): Email address extraction; Synthetic dataset. - [Runtime analysis on Synthetic dataset c=2](): Runtime analysis; Synthetic dataset c=2. - [Synthetic Elastic net regression](): Elastic net regression; Synthetic Elastic net regression. - [Image Classification on CIFAR-10 synthetic noise (test)](): Image Classification; CIFAR-10 synthetic noise (test). - [Vehicle Routing Problem on Synthetic VRP Instances N=200 (test)](): Vehicle Routing Problem; Synthetic VRP Instances N=200 (test). - [Regression on synthetic datasets #2 (test)](): Regression; synthetic datasets #2 (test). - [Regression on synthetic datasets #1 1.0 (test)](): Regression; synthetic datasets #1 1.0 (test). - [Low-Light Image Enhancement on LOL synthetic v2 (PSNR, SSIM, LPIPS)](): Low-Light Image Enhancement; LOL synthetic v2. - [Image Classification on CIFAR-100 synthetic noise (test)](): Image Classification; CIFAR-100 synthetic noise (test). - [Multi-view Clustering on Synthetic Dataset Setup](): Multi-view Clustering; Synthetic Dataset Setup. - [Rotation Averaging on Synthetic Datasets](): Rotation Averaging; Synthetic Datasets. - [Novel View Synthesis on Synthetic Dataset (test)](): Novel View Synthesis; Synthetic Dataset (test). - [Counterfactual outcome prediction on MIMIC III semi-synthetic (800/200/200)](): Counterfactual outcome prediction; MIMIC III semi-synthetic (800/200/200). - [Runtime Evaluation on Synthetic Data for Causal Discovery](): Causal Discovery; Synthetic Data. - [Evidence Retrieval on Synthetic Benchmark 1.0 (test)](): Evidence Retrieval; Synthetic Benchmark 1.0 (test). - [Ordinal response prediction on Synthetic users N=20,000 (test)](): Ordinal response prediction; Synthetic users N=20,000 (test). - [Adaptive Querying on Synthetic users N = 20,000 (test)](): Adaptive Querying; Synthetic users N = 20,000 (test). - [Image Denoising on CBSD68 synthetic Gaussian (test)](): Image Denoising; CBSD68 synthetic Gaussian (test). - [Novel View Synthesis on Synthetic-NeRF (test)](): Novel View Synthesis; Synthetic-NeRF (test). - [Instruction Following on ReasonIF synthesized v1.0](): Instruction Following; ReasonIF synthesized v1.0. - [Regression on Synthetic high-dimensional data (test)](): Regression; Synthetic high-dimensional data (test). - [Hypergraph Parameter Estimation on Synthetic Hypergraph K=8, rho in \[0,1\]](): Hypergraph Parameter Estimation; Synthetic Hypergraph K=8, rho in \[0,1\]. - [Hypergraph Generation on Synthetic Hypergraph K=2, rho\_i in \[1, 2\]](): Synthetic hypergraph generation; Synthetic Hypergraph K=2, rho\_i in \[1, 2\]. - [Multi-camera Pose Optimization on Synthetic Dataset](): Multi-camera Pose Optimization; Synthetic Dataset. - [Average Treatment Effect Estimation on Synthetic Data](): Average treatment effect estimation; Synthetic Data. - [Novel View Synthesis on NeRF Synthetic (test)](): Novel View Synthesis; NeRF Synthetic (test). - [Conformal Prediction on 5-class synthetic data (Example 1) Easy Bin (r\* \> 0.5) 1.0 (test)](): Conformal Prediction; 5-class synthetic data (Example 1) Easy Bin (r\* \> 0.5) 1.0 (test). - [High-dimensional L\_infinity distance Fuzzy Private Set Intersection on Synthetic datasets in WAN setting](): High-dimensional L\_infinity distance Fuzzy Private Set Intersection; Synthetic datasets in WAN setting. - [DAG Learning on Synthetic DAGs (100 nodes, 400 edges) v1](): DAG Learning; Synthetic DAGs (100 nodes, 400 edges) v1. - [Manipulation gain evaluation on Synthetic classification task](): Manipulation gain evaluation; Synthetic classification task. - [Time-Frequency Estimation on Synthetic Signals x1 and x4 1.0 (test)](): Time-Frequency Estimation; Synthetic Signals x1 and x4 1.0 (test). - [System Identification on Synthetic dataset (RE, EPE)](): System Identification; Synthetic dataset. - [Text Classification on IMDB synthetic noise (test)](): Text Classification; IMDB synthetic noise (test). - [Text Classification on AGNews synthetic noise (test)](): Text Classification; AGNews synthetic noise (test). - [Change Point Detection on Synthetic SBM Change with possibly partial evolution](): Change Point Detection; Synthetic SBM Change with possibly partial evolution. - [Change Point Detection on Synthetic SBM changing speed CPD (full evolution)](): Change Point Detection; Synthetic SBM changing speed CPD (full evolution). - [Change Point Detection on Synthetic SBM endpoint deviation and full evolution](): Change Point Detection; Synthetic SBM endpoint deviation and full evolution. - [Change Point Detection on Synthetic SBM endpoint deviation and partial evolution](): Change Point Detection; Synthetic SBM endpoint deviation and partial evolution. - [Change Point Detection on Synthetic SBM datasets changing speed (test)](): Change Point Detection; Synthetic SBM datasets changing speed (test). - [Change Point Detection on Synthetic SBM Full evolution to endpoint graph](): Change Point Detection; Synthetic SBM Full evolution to endpoint graph. - [Change Point Detection on Synthetic SBM pace changes on fixed trajectories](): Change Point Detection; Synthetic SBM pace changes on fixed trajectories. - [Change Point Detection on CPD synthetic SBM endpoint deviation and partial evolution](): Change Point Detection; CPD synthetic SBM endpoint deviation and partial evolution. - [Drift Detection on Synthetic Data Streams various configurations](): Drift Detection; Synthetic Data Streams various configurations. - [Heteroscedastic Regression on Synthetic](): Heteroscedastic Regression; Synthetic. - [Voronoi Regret Minimization on Unit Sphere ($S^{d-1}$) synthetic setup](): Voronoi regret minimization; Unit Sphere (S^{d-1}) synthetic setup.