gradient flow

Should Under-parameterized Student Networks Copy or Average Teacher Weights? NeurIPS 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow ICLR 2023 The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks ICLR 2023 The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks NeurIPS 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023 Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks NeurIPS 2023 Unifying GANs and Score-Based Diffusion as Generative Particle Models NeurIPS 2023 Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies NeurIPS 2023 Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation NeurIPS 2023 Adversarial Reprogramming Revisited NeurIPS 2022 An Unconstrained Layer-Peeled Perspective on Neural Collapse ICLR 2022 Convergence beyond the over-parameterized regime using Rayleigh quotients NeurIPS 2022 Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions L4DC 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Distributionally Robust Optimization with Data Geometry NeurIPS 2022 Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width NeurIPS 2022 Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks JMLR 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs NeurIPS 2022 Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win AAAI 2022 Gradient Methods Provably Converge to Non-Robust Networks NeurIPS 2022 High-dimensional limit theorems for SGD: Effective dynamics and critical scaling NeurIPS 2022 Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent NeurIPS 2022