neural tangent kernel

LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection ICML 2025 LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting ACL 2025 Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn ICML 2025 NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel ICML 2025 Optimized Random Features for the Neural Tangent Kernel (Student Abstract) AAAI 2025 Propulsion: Steering LLM with Tiny Fine-Tuning COLING 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025 Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods ICLR 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate ICML 2025 The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025 Zero-cost Proxy for Adversarial Robustness Evaluation ICLR 2025 A generalized neural tangent kernel for surrogate gradient learning NeurIPS 2024 An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network ICML 2024 Batch Normalization Alleviates the Spectral Bias in Coordinate Networks CVPR 2024 Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension NeurIPS 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Dual Cone Gradient Descent for Training Physics-Informed Neural Networks NeurIPS 2024 Emergent Equivariance in Deep Ensembles ICML 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization NeurIPS 2024 Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models ICLR 2024