gaussian mixture

A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance COLT 2026 GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection CVPR 2026 Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure ICLR 2025 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification ICLR 2025 Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need CVPR 2025 Cross-Modal Alignment via Variational Copula Modelling ICML 2025 Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025 Flow matching for stochastic linear control systems L4DC 2025 GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction CVPR 2025 Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors ICLR 2025 How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. ICLR 2025 Learning general Gaussian mixtures with efficient score matching COLT 2025 Learning Mixtures of Gaussians Using Diffusion Models COLT 2025 LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning ICLR 2025 On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures ICML 2025 Swing-by Dynamics in Concept Learning and Compositional Generalization ICLR 2025 The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures ICLR 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity ICLR 2024 Computation-information gap in high-dimensional clustering COLT 2024 Efficient Variational Sequential Information Control AISTATS 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling ECCV 2024 Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024 Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting AAAI 2024 Light and Optimal Schrödinger Bridge Matching ICML 2024