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conftrace_

gradient flow

208 papers

GF

Papers

SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment ACL 2025 Spherical Tree-Sliced Wasserstein Distance ICLR 2025 Symbolic Neural Ordinary Differential Equations AAAI 2025 Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph ICML 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin JMLR 2025 Transformative or Conservative? Conservation laws for ResNets and Transformers ICML 2025 Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow ICLR 2025 Tree-Sliced Wasserstein Distance with Nonlinear Projection ICML 2025 Understanding Factual Recall in Transformers via Associative Memories ICLR 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024 Deep linear networks for regression are implicitly regularized towards flat minima NeurIPS 2024 Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization ICLR 2024 Functional Gradient Flows for Constrained Sampling NeurIPS 2024 Generative Sliced MMD Flows with Riesz Kernels ICLR 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications ICML 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Gradual Domain Adaptation via Gradient Flow ICLR 2024 Implicit Bias of Mirror Flow on Separable Data NeurIPS 2024 Implicit regularization of deep residual networks towards neural ODEs ICLR 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024 Interaction-Force Transport Gradient Flows NeurIPS 2024 Learnability of high-dimensional targets by two-parameter models and gradient flow NeurIPS 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ICLR 2024