mlsanityData to 7 Oct 2026

Fortuna: A Library for Uncertainty Quantification in Deep Learning

arXiv 2302.04019 ↗First posted 8 Feb 2023cs.LG stat.MLcited by 14

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Abstract (arXiv)

We present Fortuna, an open-source library for uncertainty quantification in deep learning. Fortuna supports a range of calibration techniques, such as conformal prediction that can be applied to any trained neural network to generate reliable uncertainty estimates, and scalable Bayesian inference methods that can be applied to Flax-based deep neural networks trained from scratch for improved uncertainty quantification and accuracy. By providing a coherent framework for advanced uncertainty quantification methods, Fortuna simplifies the process of benchmarking and helps practitioners build robust AI systems.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 27 of its 40 references that are in the map. First posted on arXiv 8 Feb 2023.

Builds on

27 of 40 references.

References · 27

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2017On Calibration of Modern Neural Networkscited by 4,860
  4. 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,283
  5. 2016Simple and Scalable Predictive Uncertainty Estimation using Deep Ensemblescited by 3,888
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  7. 2019Conformalized Quantile Regressioncited by 620
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  10. 2020Classification with Valid and Adaptive Coveragecited by 390
  11. 2020Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awarenesscited by 389
  12. 2018Pyro: Deep Universal Probabilistic Programmingcited by 379
15 more
  1. 2021Adaptive Conformal Inference Under Distribution Shiftcited by 360
  2. 2021Laplace Redux -- Effortless Bayesian Deep Learningcited by 359
  3. 2014Stochastic Gradient Hamiltonian Monte Carlocited by 341
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  6. 2016Automatic Differentiation Variational Inferencecited by 159
  7. 2022Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imagingcited by 107
  8. 2021Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learningcited by 81
  9. 2022Batch Multivalid Conformal Predictioncited by 66
  10. 2018Bayesian Layers: A Module for Neural Network Uncertaintycited by 57
  11. 2021Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantificationcited by 57
  12. 2021Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AIcited by 22
  13. 2016Maximum a Posteriori Estimators as a Limit of Bayes Estimatorscited by 12
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 9; 2025: 2; 2026: 2.

14 papers.

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  1. 2024Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AIcited by 60
  2. 2024Conformal Prediction: A Data Perspectivecited by 25
  3. 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimatescited by 17
  4. 2024Cost-Effective Hallucination Detection for LLMscited by 16
  5. 2024Scalable Bayesian Learning with posteriorscited by 13
  6. 2024Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamicscited by 12
  7. 2024TorchCP: A Python Library for Conformal Predictioncited by 9
  8. 2025Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approachcited by 6
  9. 2025Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantificationcited by 4
  10. 2024Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learningcited by 3
  11. 2026Uncertainty and Fairness Awareness in LLM-Based Recommendation Systemscited by 1
  12. 2024Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantificationcited by 0
2 more
  1. 2024YAMLE: Yet Another Machine Learning Environmentcited by 0
  2. 2026Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guaranteescited by 0