gradient flow

CogniEdit: Dense Gradient Flow Optimization for Fine-Grained Image Editing CVPR 2026 High-Dimensional Analysis of Gradient Flow for Extensive-Width Quadratic Neural Networks JMLR 2026 On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks L4DC 2026 PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation CVPR 2026 Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient WACV 2026 Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models AAAI 2026 Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation UAI 2026 Adaptive kernel predictors from feature-learning infinite limits of neural networks ICML 2025 Anytime Safe Reinforcement Learning L4DC 2025 Beyond propagation of chaos: A stochastic algorithm for mean field optimization COLT 2025 Deep MMD Gradient Flow without adversarial training ICLR 2025 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025 Distance-Based Tree-Sliced Wasserstein Distance ICLR 2025 Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks AAAI 2025 Emergence of meta-stable clustering in mean-field transformer models ICLR 2025 Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025 Flowing Datasets with Wasserstein over Wasserstein Gradient Flows ICML 2025 FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting IJCAI 2025 Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs ICML 2025 Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression ICLR 2025 Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence AISTATS 2025 Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data ICLR 2025 Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime ICML 2025 Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentials COLT 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025