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Posterior Regularized Bayesian Neural Network Incorporating Soft and
  Hard Knowledge Constraints

Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints

16 October 2022
Jiayu Huang
Yutian Pang
Yongming Liu
Hao Yan
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints"

6 / 6 papers shown
Title
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel
  Bidding
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
Shenghong He
Chao Yu
29
0
0
26 Dec 2024
Multi-physics Simulation Guided Generative Diffusion Models with
  Applications in Fluid and Heat Dynamics
Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics
Naichen Shi
Hao Yan
Shenghan Guo
Raed Al Kontar
DiffM
AI4CE
38
0
0
25 Jul 2024
Bayesian Entropy Neural Networks for Physics-Aware Prediction
Bayesian Entropy Neural Networks for Physics-Aware Prediction
R. Rathnakumar
Jiayu Huang
Hao Yan
Yongming Liu
24
2
0
01 Jul 2024
Bayesian Neural Networks with Domain Knowledge Priors
Bayesian Neural Networks with Domain Knowledge Priors
Dylan Sam
Rattana Pukdee
Daniel P. Jeong
Yewon Byun
J. Zico Kolter
BDL
UQCV
30
9
0
20 Feb 2024
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
Bayesian Inference with Posterior Regularization and applications to
  Infinite Latent SVMs
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu
Ning Chen
Eric P. Xing
BDL
57
157
0
05 Oct 2012
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