gaussian kernel

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ICML 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection AAAI 2025 Encryption-Friendly LLM Architecture ICLR 2025 GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects ICCV 2025 On the Approximation of Kernel functions JMLR 2025 Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition NeurIPS 2024 Optimal score estimation via empirical Bayes smoothing COLT 2024 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NeurIPS 2024 Quasi-Monte Carlo Features for Kernel Approximation ICML 2024 Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation ICML 2024 Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NeurIPS 2023 Dimensionality Reduction for General KDE Mode Finding ICML 2023 GEQ: Gaussian Kernel Inspired Equilibrium Models NeurIPS 2023 GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023 Simplex Random Features ICML 2023 Chefs' Random Tables: Non-Trigonometric Random Features NeurIPS 2022 Hybrid Random Features ICLR 2022 Improved Classification Rates for Localized SVMs JMLR 2022 Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) IJCAI 2022 Random Gegenbauer Features for Scalable Kernel Methods ICML 2022 Rethinking Spatial Invariance of Convolutional Networks for Object Counting CVPR 2022 SignRFF: Sign Random Fourier Features NeurIPS 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 Faster Kernel Matrix Algebra via Density Estimation ICML 2021