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gradient flow

208 papers

GF

Papers

Lexicographic Optimization: Algorithms and Stability AISTATS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 On The Fairness Impacts of Hardware Selection in Machine Learning ICML 2024 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel ICLR 2024 Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks ICLR 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NeurIPS 2024 Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data ICML 2024 Sliced Wasserstein Estimation with Control Variates ICLR 2024 Stabilizing Backpropagation Through Time to Learn Complex Physics ICLR 2024 Stereographic Spherical Sliced Wasserstein Distances ICML 2024 Symmetric Single Index Learning ICLR 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 Trained Transformers Learn Linear Models In-Context JMLR 2024 Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract) COLT 2024 Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis NeurIPS 2024 Abide by the law and follow the flow: conservation laws for gradient flows NeurIPS 2023 A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023 A Dynamical Systems Perspective on Discrete Optimization L4DC 2023 Analyzing Generalization of Neural Networks through Loss Path Kernels NeurIPS 2023 Approximate Regions of Attraction in Learning with Decision-Dependent Distributions AISTATS 2023 Are GATs Out of Balance? NeurIPS 2023 Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss ICML 2023 Deep linear networks can benignly overfit when shallow ones do JMLR 2023 Dynamic Flows on Curved Space Generated by Labeled Data IJCAI 2023