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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"

50 / 710 papers shown

Title
The Hidden Width of Deep ResNets: Tight Error Bounds and Phase Diagrams Lénaïc Chizat 0 0 0 12 Sep 2025
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks Chanju Park B. Lucini Gert Aarts 4 0 0 01 Sep 2025
An Explainable Gaussian Process Auto-encoder for Tabular Data Wei Zhang Brian Barr John Paisley CML 6 0 0 31 Aug 2025
The GINN framework: a stochastic QED correspondence for stability and chaos in deep neural networks Rodrigo Carmo Terin 4 0 0 26 Aug 2025
Finite-Width Neural Tangent Kernels from Feynman Diagrams Max Guillen Philipp Misof Jan E. Gerken 36 0 0 15 Aug 2025
Hi-fi functional priors by learning activations Marcin Sendera Amin Sorkhei Tomasz Kuśmierczyk 16 0 0 12 Aug 2025
A Spin Glass Characterization of Neural Networks Jun Li 24 0 0 10 Aug 2025
Scalable Neural Network-based Blackbox Optimization Pavankumar Koratikere Leifur Leifsson 22 0 0 05 Aug 2025
Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations Sofianos Panagiotis Fotias Vassilis Gaganis 37 0 0 29 Jul 2025
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 66 0 0 28 Jul 2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Yooshin Cho Hanbyel Cho Janghyeon Lee H. Hong Jaesung Ahn Junmo Kim 36 0 0 27 Jul 2025
Feature learning is decoupled from generalization in high capacity neural networks Niclas Goring Charles London Abdurrahman Hadi Erturk Chris Mingard Yoonsoo Nam Ard A. Louis OOD MLT 51 0 0 25 Jul 2025
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks Kyung-Hwan Lee Kyung-Tae Kim 35 0 0 21 Jul 2025
The Importance of Being Lazy: Scaling Limits of Continual Learning Jacopo Graldi Alessandro Breccia Giulia Lanzillotta Thomas Hofmann Lorenzo Noci CLL 114 0 0 20 Jun 2025
Flat Channels to Infinity in Neural Loss Landscapes Flavio Martinelli Alexander Van Meegen Berfin Simsek W. Gerstner Johanni Brea 77 0 0 17 Jun 2025
On the Stability of the Jacobian Matrix in Deep Neural Networks Benjamin Dadoun Soufiane Hayou Hanan Salam M. Seddik Pierre Youssef ODL 94 0 0 10 Jun 2025
Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Yihe Dong Lorenzo Noci Mikhail Khodak Mufan Li 134 1 0 01 Jun 2025
Statistical mechanics of extensive-width Bayesian neural networks near interpolation Jean Barbier Francesco Camilli Minh-Toan Nguyen Mauro Pastore Rudy Skerk 87 1 0 30 May 2025
Universal Value-Function Uncertainties Moritz A. Zanger Max Weltevrede Yaniv Oren Pascal R. van der Vaart Caroline Horsch Wendelin Bohmer M. Spaan OffRL 124 0 0 27 May 2025
A ZeNN architecture to avoid the Gaussian trap Luís Carvalho Joao L. Costa José Mourao Gonçalo Oliveira 90 0 0 26 May 2025
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes I. Harel Yonathan Wolanowsky Gal Vardi Nathan Srebro Daniel Soudry AI4CE 180 0 0 25 May 2025
Querying Kernel Methods Suffices for Reconstructing their Training Data Daniel Barzilai Yuval Margalit Eitan Gronich Gilad Yehudai Meirav Galun Ronen Basri 101 0 0 25 May 2025
Critical Points of Random Neural Networks Simmaco Di Lillo 94 1 0 22 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 295 1 0 22 May 2025
High-Dimensional Analysis of Bootstrap Ensemble Classifiers Abdelhakim Benechehab Malik Tiomoko M. Seddik Cosme Louart Ekkehard Schnoor Jun Yao 164 1 0 20 May 2025
Just One Layer Norm Guarantees Stable Extrapolation Juliusz Ziomek George Whittle Michael A. Osborne 118 0 0 20 May 2025
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks Chiyue Wei Bowen Duan Cong Guo Jing Zhang Qingyue Song Hai "Helen" Li Yiran Chen 144 0 0 16 May 2025
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks Yi Xie Stefan Mihalas Łukasz Kuśmierz 105 0 0 14 May 2025
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime Francesco Camilli D. Tieplova Eleonora Bergamin Jean Barbier 528 3 0 06 May 2025
On the Importance of Gaussianizing Representations Daniel Eftekhari Vardan Papyan 153 0 0 01 May 2025
Fractal and Regular Geometry of Deep Neural Networks Simmaco Di Lillo Domenico Marinucci Michele Salvi Stefano Vigogna MDE AI4CE 78 2 0 08 Apr 2025
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 195 15 0 01 Apr 2025
Deep Neural Nets as Hamiltonians Mike Winer Boris Hanin 568 0 0 31 Mar 2025
Towards Understanding the Optimization Mechanisms in Deep Learning Binchuan Qi Wei Gong Li Li 128 0 0 29 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 134 0 0 19 Mar 2025
High-entropy Advantage in Neural Networks' Generalizability Entao Yang Wei Wei Yue Shang Ge Zhang AI4CE 169 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 603 2 0 14 Mar 2025
How good is PAC-Bayes at explaining generalisation? Antoine Picard-Weibel Eugenio Clerico Roman Moscoviz Benjamin Guedj 133 1 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 152 0 0 10 Mar 2025
Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy Yonatan Kahn Benjamin Hooberman UQCV 125 0 0 07 Mar 2025
Deep Learning is Not So Mysterious or Different Andrew Gordon Wilson 138 10 0 03 Mar 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee Seanie Lee Juho Lee BDL 87 0 0 28 Feb 2025
Feature maps for the Laplacian kernel and its generalizations Sudhendu Ahir Parthe Pandit 120 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 175 0 0 18 Feb 2025
Student-t processes as infinite-width limits of posterior Bayesian neural networks Francesco Caporali Stefano Favaro Dario Trevisan BDL 624 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 632 3 0 05 Feb 2025
Observation Noise and Initialization in Wide Neural Networks Sergio Calvo-Ordoñez Jonathan Plenk Richard Bergna Alvaro Cartea Jose Miguel Hernandez-Lobato Konstantina Palla Kamil Ciosek 144 2 0 03 Feb 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 166 0 0 21 Jan 2025
Issues with Neural Tangent Kernel Approach to Neural Networks Haoran Liu Anthony S. Tai David J. Crandall Chunfeng Huang 144 1 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 315 3 0 12 Jan 2025