ifiaposto / Distance_Aware_BottleneckLinks
Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
☆28Updated 10 months ago
Alternatives and similar repositories for Distance_Aware_Bottleneck
Users that are interested in Distance_Aware_Bottleneck are comparing it to the libraries listed below
Sorting:
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆61Updated 4 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆67Updated 8 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆67Updated last month
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆109Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- ☆17Updated 10 months ago
- Bayesian active learning with EPIG data acquisition☆32Updated 3 months ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Neural Diffusion Processes☆81Updated 11 months ago
- ☆51Updated 11 months ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆77Updated 3 years ago
- ☆9Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆61Updated 2 months ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆45Updated 3 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Quantile risk minimization☆24Updated 11 months ago
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆71Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 4 months ago
- This is the official repository for the paper: "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling".☆47Updated 2 weeks ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- ☆25Updated last year