Variational Inference for Infinitely Deep Neural Networks

21 September 2022

Papers citing "Variational Inference for Infinitely Deep Neural Networks"

10 / 10 papers shown

Title
Robust and Scalable Variational Bayes Carlos Misael Madrid Padilla Shitao Fan Lizhen Lin 34 0 0 16 Apr 2025
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous Qinxun Bai Fuxin Li BDL 21 0 0 31 Oct 2024
Improved Depth Estimation of Bayesian Neural Networks Bart Van Erp Bert De Vries MDE BDL 24 0 0 14 Oct 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 50 7 0 27 Dec 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 22 0 0 19 Oct 2023
Deep Active Learning with Structured Neural Depth Search Xiaoyun Zhang Xieyi Ping Jianwei Zhang 32 0 0 05 Jun 2023
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics Hanlin Yu M. Hartmann Bernardo Williams Arto Klami BDL 14 4 0 09 Mar 2023
Rank Diminishing in Deep Neural Networks Ruili Feng Kecheng Zheng Yukun Huang Deli Zhao Michael I. Jordan Zhengjun Zha 18 28 0 13 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016