Function-space Parameterization of Neural Networks for Sequential
Learning

Function-space Parameterization of Neural Networks for Sequential Learning

16 March 2024

Arno Solin

Papers citing "Function-space Parameterization of Neural Networks for Sequential Learning"

6 / 6 papers shown

Title
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 91 1 0 27 Nov 2024
Posterior Sampling for Deep Reinforcement Learning Remo Sasso Michelangelo Conserva Paulo E. Rauber OffRL BDL 21 6 0 30 Apr 2023
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 34 3 0 18 May 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015