cvlab-epfl / iter_uncLinks
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
☆18Updated last year
Alternatives and similar repositories for iter_unc
Users that are interested in iter_unc are comparing it to the libraries listed below
Sorting:
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆57Updated 2 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆29Updated last year
- ☆32Updated 3 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆15Updated 9 months ago
- Visualizing representations with diffusion based conditional generative model.☆97Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆23Updated 8 months ago
- Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.☆24Updated last year
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- ☆15Updated 2 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆46Updated 3 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"☆22Updated 9 months ago
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)☆13Updated 4 months ago
- ☆10Updated 7 months ago
- [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models☆28Updated 8 months ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆100Updated last week
- ☆17Updated 11 months ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆50Updated 5 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆209Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- Large-scale uncertainty benchmark in deep learning.☆62Updated 3 months ago
- ☆16Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 11 months ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 5 months ago