martius-lab / beta-nll
beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
☆38Updated 2 years ago
Alternatives and similar repositories for beta-nll:
Users that are interested in beta-nll are comparing it to the libraries listed below
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Code for experiments to learn uncertainty☆30Updated last year
- ☆32Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- ☆53Updated 5 months ago
- Implementation of the Convolutional Conditional Neural Process☆121Updated 3 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated 9 months ago
- ☆28Updated 2 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- ☆31Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆62Updated 11 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Neural Diffusion Processes☆76Updated 5 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆50Updated 5 months ago
- ☆21Updated 2 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆25Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 4 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 8 months ago
- Experiments for Neural Flows paper☆92Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆79Updated last year