Poster "neural tangent kernel" Papers
11 papers found
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
Samuel Audia, Soheil Feizi, Matthias Zwicker et al.
ICLR 2025posterarXiv:2504.13412
1
citations
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
NeurIPS 2025poster
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
Wenliang Zhong, Haoyu Tang, Qinghai Zheng et al.
CVPR 2025posterarXiv:2406.19827
7
citations
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou et al.
ICLR 2025posterarXiv:2403.06925
7
citations
Uncertainty Quantification with the Empirical Neural Tangent Kernel
Joseph Wilson, Chris van der Heide, Liam Hodgkinson et al.
NeurIPS 2025posterarXiv:2502.02870
5
citations
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
Taeyoung Kim, Hongseok Yang
ICML 2024poster
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng et al.
ICML 2024poster
Emergent Equivariance in Deep Ensembles
Jan Gerken, Pan Kessel
ICML 2024poster
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
Jingtan Wang, Xiaoqiang Lin, Rui Qiao et al.
ICML 2024poster
How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari, Marco Mondelli
ICML 2024poster
LoRA Training in the NTK Regime has No Spurious Local Minima
Uijeong Jang, Jason Lee, Ernest Ryu
ICML 2024poster