DLR-RM / curvature
Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
☆30Updated 4 years ago
Alternatives and similar repositories for curvature:
Users that are interested in curvature are comparing it to the libraries listed below
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- ☆32Updated 2 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Belief matching framework official implementation☆40Updated 2 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated last year
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆80Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- ☆53Updated 7 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆27Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated last year
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated 2 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆44Updated 4 years ago
- ☆53Updated 9 months ago
- ☆30Updated 4 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago