Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
☆87Jul 19, 2020Updated 6 years ago
Alternatives and similar repositories for FBNN
Users that are interested in FBNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆61Jan 12, 2019Updated 7 years ago
- Papers for Bayesian-NN☆327Jun 25, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 4 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆50Mar 3, 2025Updated last year
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆67Jul 11, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆105Oct 10, 2018Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 8 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)☆12Nov 17, 2019Updated 6 years ago
- An Optax-based JAX implementation of the IVON optimizer for large-scale VI training of NNs (ICML'24 spotlight)☆10Dec 19, 2024Updated last year
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 7 years ago
- Code to accompany the paper 'On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations'☆10Apr 16, 2026Updated 6 months ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Oct 3, 2023Updated 3 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- The collection of recent papers about variational inference☆85Nov 6, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022 oral)☆11Jul 16, 2024Updated 2 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Apr 30, 2019Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Jun 28, 2019Updated 7 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,026Jan 19, 2021Updated 5 years ago
- Geometric Certifications of Neural Nets☆42Nov 22, 2022Updated 3 years ago