Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
☆29Sep 3, 2024Updated last year
Alternatives and similar repositories for Distance_Aware_Bottleneck
Users that are interested in Distance_Aware_Bottleneck are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Experimental toolbox for quantum Shapley values.☆10Jan 2, 2024Updated 2 years ago
- A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure☆15Jan 5, 2024Updated 2 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- A system that analyses patient symptoms and provides preliminary diagnoses along with recommended treatments⚕️☆14Jul 28, 2023Updated 2 years ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆19Jul 8, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Apr 13, 2023Updated 3 years ago
- 3D Data Processing Courses for Ditigal Twins. ITC UTWENTE☆29Dec 31, 2025Updated 4 months ago
- The official implementation of the paper "Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models" (ICML 2023 Wor…☆22Mar 19, 2024Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆35Jun 17, 2022Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Oct 14, 2024Updated last year
- Official TensorFlow implementation of GAN-based priors for quantifying uncertainty.☆13Nov 13, 2021Updated 4 years ago
- Generative cellular automaton-like learning environments for RL.☆20Jan 30, 2025Updated last year
- ☆17Sep 3, 2024Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- ☆34Nov 26, 2024Updated last year
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆28Jun 28, 2024Updated last year
- Martingale posterior neural networks for fast sequential decision making @ Neurips 2025☆25Nov 13, 2025Updated 5 months ago
- The official repos of "Rethinking Multi-view Representation Learning via Distilled Disentangling"☆13Apr 3, 2024Updated 2 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆82Oct 7, 2025Updated 6 months ago
- The demo for "Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network" in ICML 2021☆10Aug 17, 2021Updated 4 years ago
- A curated list of explainability-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to…☆57Jun 25, 2025Updated 10 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Uncertainty-Aware Curriculum Learning for Neural Machine Translation (ACL 2020)☆11Jun 12, 2020Updated 5 years ago
- ☆191Jan 9, 2026Updated 3 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆26Dec 9, 2024Updated last year
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Jul 28, 2021Updated 4 years ago
- Code for Multi-Aspect Cross-modal Quantization for Generative Recommendation. (AAAI 2026 Oral)☆38Dec 9, 2025Updated 4 months ago
- ☆48Jan 13, 2025Updated last year
- DeepEarth: AI Foundation Model for Planetary Science & Sustainability☆28Apr 13, 2026Updated 3 weeks ago
- Code for experiments on transformers using Markovian data.☆22Nov 22, 2024Updated last year
- Automated Question-Answering Over Knowledge Graphs in O&M of Wind Turbines