Disentangling the Predictive Variance of Deep Ensembles through the
Neural Tangent Kernel

Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel

18 October 2022

Seijin Kobayashi

Pau Vilimelis Aceituno

Papers citing "Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel"

14 / 14 papers shown

Title
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 180 1 0 22 May 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 399 1 0 14 Mar 2025
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel Stanislav Fort Gintare Karolina Dziugaite Mansheej Paul Sepideh Kharaghani Daniel M. Roy Surya Ganguli 95 189 0 28 Oct 2020
Bayesian Deep Ensembles via the Neural Tangent Kernel Bobby He Balaji Lakshminarayanan Yee Whye Teh BDL UQCV 40 120 0 11 Jul 2020
Tensor Programs II: Neural Tangent Kernel for Any Architecture Greg Yang 105 136 0 25 Jun 2020
When Do Neural Networks Outperform Kernel Methods? Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari 83 188 0 24 Jun 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 139 491 0 17 Feb 2020
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 62 132 0 03 Nov 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 164 720 0 07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 159 1,688 0 06 Jun 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 53 756 0 22 Oct 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 113 1,091 0 01 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
Wide Residual Networks Sergey Zagoruyko N. Komodakis 312 7,971 0 23 May 2016