Kernel Regression with Infinite-Width Neural Networks on Millions of
Examples

Kernel Regression with Infinite-Width Neural Networks on Millions of Examples

9 March 2023

Papers citing "Kernel Regression with Infinite-Width Neural Networks on Millions of Examples"

14 / 14 papers shown

Title
Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy Yonatan Kahn Benjamin Hooberman UQCV 45 0 0 07 Mar 2025
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines Edward Milsom Ben Anson Laurence Aitchison 28 0 0 08 Oct 2024
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling Shifan Zhao Jiaying Lu Carl Yang Edmond Chow Yuanzhe Xi 34 1 0 22 May 2024
Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control Giovanni Ziarelli N. Parolini M. Verani 16 2 0 17 Apr 2024
Flexible infinite-width graph convolutional networks and the importance of representation learning Ben Anson Edward Milsom Laurence Aitchison SSL GNN 24 1 0 09 Feb 2024
Asymptotics of feature learning in two-layer networks after one gradient-step Hugo Cui Luca Pesce Yatin Dandi Florent Krzakala Yue M. Lu Lenka Zdeborová Bruno Loureiro MLT 55 16 0 07 Feb 2024
Convolutional Deep Kernel Machines Edward Milsom Ben Anson Laurence Aitchison BDL 23 5 0 18 Sep 2023
Mechanism of feature learning in convolutional neural networks Daniel Beaglehole Adityanarayanan Radhakrishnan Parthe Pandit Misha Belkin FAtt MLT 32 14 0 01 Sep 2023
Guided Deep Kernel Learning Idan Achituve Gal Chechik Ethan Fetaya BDL 31 5 0 19 Feb 2023
Fast Neural Kernel Embeddings for General Activations Insu Han A. Zandieh Jaehoon Lee Roman Novak Lechao Xiao Amin Karbasi 48 18 0 09 Sep 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel Ziyang Jiang Tongshu Zheng Yiling Liu David Carlson 30 4 0 15 May 2022
Convolutional Xformers for Vision Pranav Jeevan Amit Sethi ViT 42 12 0 25 Jan 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,469 0 23 Jan 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 172 1,775 0 02 Mar 2017