bayesian-neural-network
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Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
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Jul 31, 2022 - Python
Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant
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Jan 12, 2021 - Python
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
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Apr 6, 2024 - Python
An experimental Python package for learning Bayesian Neural Network.
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Jul 6, 2020 - Python
This is a PyTorch implementation of a Bayesian Convolutional Neural Network (BCNN) for Semantic Scene Completion on the SUNCG dataset. Given a depth image the network outputs a semantic segmentation and entropy score in 3D voxel format.
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Mar 30, 2023 - Python
Task in belong laboratory (related: https://github.com/chiru1221/LabStudyTask2020)
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May 21, 2021 - Python
[NeurIPS'23] Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
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Nov 22, 2023 - Python
Bayesian neural networks in PyTorch
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Jul 8, 2024 - Python
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