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    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    year = "2021",
    publisher = "Association for Computational Linguistics"
}

@article{Lahlou:23,
    title={{{DEUP}: Direct Epistemic Uncertainty Prediction}},
    author={Salem Lahlou and Moksh Jain and Hadi Nekoei and Victor I Butoi and Paul Bertin and Jarrid Rector-Brooks and Maksym Korablyov and Yoshua Bengio},
    journal={Transactions on Machine Learning Research},
    year={2023}
}

@inproceedings{Gruber:23,
  title = 	 {{Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition}},
  author =       {Gruber, Sebastian and Buettner, Florian},
  booktitle = 	 {Proceedings of The 26th International Conference on Artificial Intelligence and Statistics},
  year = 	 {2023},
  publisher =    {PMLR}
}

@article{Hoffmann:21,
      title={{Deep Ensembles from a Bayesian Perspective}}, 
      author={Lara Hoffmann and Clemens Elster},
      year={2021},
      volume={2105.13283},
      journal={ArXiv}
}

@article{Hendrycks:19,
    title={{Benchmarking Neural Network Robustness to Common Corruptions and Perturbations}},
    author={Dan Hendrycks and Thomas Dietterich},
    journal={Proceedings of the International Conference on Learning Representations},
    year={2019}
}

@inproceedings{Kingma:15,
    author    = {Kingma, Diederik and Ba, Jimmy},
    booktitle = {International Conference on Learning Representations},
    title     = {{Adam: A Method for Stochastic Optimization}},
    year      = {2015}
}

@inproceedings{Stern:18,
    author = {Stern, Mitchell and Shazeer, Noam and Uszkoreit, Jakob},
    booktitle = {Advances in Neural Information Processing Systems},
    publisher = {Curran Associates, Inc.},
    title = {{Blockwise Parallel Decoding for Deep Autoregressive Models}},
    year = {2018}
}


@InProceedings{Leviathan:23,
  title = 	{{Fast Inference from Transformers via Speculative Decoding}},
  author =       {Leviathan, Yaniv and Kalman, Matan and Matias, Yossi},
  booktitle = 	 {Proceedings of the 40th International Conference on Machine Learning},
  year = 	 {2023},
  publisher =    {PMLR}
}


@article{Fort:19,
      title={{Deep Ensembles: A Loss Landscape Perspective}}, 
      author={Stanislav Fort and Huiyi Hu and Balaji Lakshminarayanan},
      year={2019},
      volume={1912.02757},
      journal={ArXiv}
}

@article{Farquhar:24,
    title={{Detecting Hallucinations in Large Language Models Using Semantic Entropy}},
    author={Farquhar, Sebastian and Kossen, Jannik and Kuhn, Lorenz and Gal, Yarin},
    year={2024},
    journal={Nature}
}

@inproceedings{Mucsanyi:24,
    title={{Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks}},
    author={B{\'a}lint Mucs{\'a}nyi and Michael Kirchhof and Seong Joon Oh},
    booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    year={2024}
}

@article{Aichberger:24a,
  title = {Rethinking {{Uncertainty Estimation}} in {{Natural Language Generation}}},
  author = {Aichberger, Lukas and Schweighofer, Kajetan and Hochreiter, Sepp},
  year = {2024},
  journal = {ArXiv},
  volume = {2412.15176}
}

@inproceedings{Valdenegro-toro:22,
    author    = {Valdenegro-Toro, Matias and Mori, Daniel Saromo},
    title     = {{A Deeper Look Into Aleatoric and Epistemic Uncertainty Disentanglement}},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
    year      = {2022}
}

@inproceedings{Yadkori:24,
    title={{To Believe or Not to Believe Your {LLM}: Iterative Prompting for Estimating Epistemic Uncertainty}},
    author={Yasin Abbasi-Yadkori and Ilja Kuzborskij and Andr{\'a}s Gy{\"o}rgy and Csaba Szepesvari},
    booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
    year={2024}
}

@inproceedings{kotelevskii2022nonparametric,
 author = {Kotelevskii, Nikita and Artemenkov, Aleksandr and Fedyanin, Kirill and Noskov, Fedor and Fishkov, Alexander and Shelmanov, Artem and Vazhentsev, Artem and Petiushko, Aleksandr and Panov, Maxim},
 booktitle = {Advances in Neural Information Processing Systems},
 publisher = {Curran Associates, Inc.},
 title = {{Nonparametric Uncertainty Quantification for Single Deterministic Neural Network}},
 year = {2022}
}

 

@inproceedings{kotelevskii2025risk,
  title={{From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation}},
  author={Kotelevskii, Nikita and Kondratyev, Vladimir and Tak{\'a}{\v{c}}, Martin and Moulines, Eric and Panov, Maxim},
  booktitle={The Thirteenth International Conference on Learning Representations},
  year={2025}
}