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Bayesian neural networks via MCMC: a Python-based tutorial

Bayesian neural networks via MCMC: a Python-based tutorial

2 April 2023
Rohitash Chandra
Royce Chen
Joshua Simmons
    BDL
ArXivPDFHTML

Papers citing "Bayesian neural networks via MCMC: a Python-based tutorial"

6 / 6 papers shown
Title
Bayes-CATSI: A variational Bayesian deep learning framework for medical
  time series data imputation
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
Omkar Kulkarni
Rohitash Chandra
CML
AI4TS
BDL
27
0
0
01 Oct 2024
Review of deep learning models for crypto price prediction:
  implementation and evaluation
Review of deep learning models for crypto price prediction: implementation and evaluation
Jingyang Wu
Xinyi Zhang
Fangyixuan Huang
Haochen Zhou
Rohtiash Chandra
27
3
0
19 May 2024
Hierarchical Meta-learning-based Adaptive Controller
Hierarchical Meta-learning-based Adaptive Controller
Fengze Xie
Guanya Shi
Michael O'Connell
Yisong Yue
Soon-Jo Chung
8
3
0
21 Nov 2023
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
669
0
24 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
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