Deep Neural Networks as Gaussian Processes

1 November 2017

Jascha Narain Sohl-Dickstein

UQCV

BDL

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Papers citing "Deep Neural Networks as Gaussian Processes"

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Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks Yi Xie Stefan Mihalas Łukasz Kuśmierz 26 0 0 14 May 2025
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Fractal and Regular Geometry of Deep Neural Networks Simmaco Di Lillo Domenico Marinucci Michele Salvi Stefano Vigogna MDE AI4CE 38 0 0 08 Apr 2025
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 70 15 0 01 Apr 2025
Deep Neural Nets as Hamiltonians Mike Winer Boris Hanin 205 0 0 31 Mar 2025
Towards Understanding the Optimization Mechanisms in Deep Learning Binchuan Qi Wei Gong Li Li 55 0 0 29 Mar 2025
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High-entropy Advantage in Neural Networks' Generalizability Entao Yang Jiahui Geng Yue Shang Ge Zhang AI4CE 66 0 0 17 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 224 0 0 14 Mar 2025
How good is PAC-Bayes at explaining generalisation? Antoine Picard-Weibel Eugenio Clerico Roman Moscoviz Benjamin Guedj 64 0 0 11 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 48 0 0 10 Mar 2025
Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy Yonatan Kahn Benjamin Hooberman UQCV 54 0 0 07 Mar 2025
Deep Learning is Not So Mysterious or Different Andrew Gordon Wilson 46 2 0 03 Mar 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee Seanie Lee Juho Lee BDL 38 0 0 28 Feb 2025
Feature maps for the Laplacian kernel and its generalizations Sudhendu Ahir Parthe Pandit 65 0 0 24 Feb 2025
Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity George Giapitzakis Artur Back de Luca K. Fountoulakis 64 0 0 24 Feb 2025
Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation Tatsuya Aoyama Hanting Yang Hiroyuki Hanada Satoshi Akahane Tomonari Tanaka ... Noriaki Hashimoto Taro Murayama Hanju Lee Shinya Kojima Ichiro Takeuchi 72 0 0 18 Feb 2025
Student-t processes as infinite-width limits of posterior Bayesian neural networks Francesco Caporali Stefano Favaro Dario Trevisan BDL 254 0 0 06 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning Zhekai Du Yinjie Min Jingjing Li Ke Lu Changliang Zou Liuhua Peng Tingjin Chu Mingming Gong 223 1 0 05 Feb 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 45 0 0 21 Jan 2025
Issues with Neural Tangent Kernel Approach to Neural Networks Haoran Liu Anthony S. Tai David J. Crandall Chunfeng Huang 42 0 0 19 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 50 2 0 12 Jan 2025
Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data Alec S. Xu Can Yaras Peng Wang Q. Qu 32 0 0 04 Jan 2025
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood Yuta Shikuri GP 46 0 0 23 Dec 2024
Uncertainty separation via ensemble quantile regression Navid Ansari Hans-Peter Seidel Vahid Babaei UD UQCV 84 0 0 18 Dec 2024
Level-Set Parameters: Novel Representation for 3D Shape Analysis Huan Lei Hongdong Li Andreas Geiger Anthony Dick 79 0 0 18 Dec 2024
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 97 2 0 16 Dec 2024
Proportional infinite-width infinite-depth limit for deep linear neural networks Federico Bassetti Lucia Ladelli P. Rotondo 80 1 0 22 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 51 0 0 17 Nov 2024
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Benjamin Kolicic Alberto Caron Chris Hicks V. Mavroudis AI4CE 50 0 0 14 Nov 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun Ye Shi 42 0 0 30 Oct 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi Lei Wang K. Zhou 28 4 0 28 Oct 2024
A Lipschitz spaces view of infinitely wide shallow neural networks Francesca Bartolucci Marcello Carioni José A. Iglesias Yury Korolev Emanuele Naldi Stefano Vigogna 23 0 0 18 Oct 2024
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators Xinming Wang Simon Mak John Joshua Miller Jianguo Wu 29 1 0 16 Oct 2024
Correspondence of NNGP Kernel and the Matern Kernel Amanda Muyskens Benjamin W. Priest I. Goumiri M. Schneider BDL 28 1 0 10 Oct 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines Edward Milsom Ben Anson Laurence Aitchison 28 0 0 08 Oct 2024
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 38 0 0 08 Oct 2024
Extended convexity and smoothness and their applications in deep learning Binchuan Qi Wei Gong Li Li 63 0 0 08 Oct 2024
Strong Model Collapse Elvis Dohmatob Yunzhen Feng Arjun Subramonian Julia Kempe 30 10 0 07 Oct 2024
Deep Kernel Posterior Learning under Infinite Variance Prior Weights Jorge Loría A. Bhadra BDL UQCV 66 0 0 02 Oct 2024
Functional Stochastic Gradient MCMC for Bayesian Neural Networks Mengjing Wu Junyu Xuan Jie Lu BDL 27 0 0 25 Sep 2024
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models Chengkun Sun Jinqian Pan Russell Stevens Terry Jiang Bian Jie Xu DiffM 28 0 0 19 Sep 2024
Rate-Constrained Quantization for Communication-Efficient Federated Learning Shayan Mohajer Hamidi Ali Bereyhi FedML MQ 28 1 0 10 Sep 2024
Re-evaluating the Advancements of Heterophilic Graph Learning Sitao Luan Qincheng Lu Chenqing Hua Xinyu Wang Jiaqi Zhu Xiao-Wen Chang 70 2 0 09 Sep 2024
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models Yang Xu Huihong Shi Zhongfeng Wang 48 0 0 07 Sep 2024
Function-Space MCMC for Bayesian Wide Neural Networks Lucia Pezzetti Stefano Favaro Stefano Peluchetti BDL 216 0 0 26 Aug 2024