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 author = {Lamport, Leslie},
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}

@misc{Hinton:arXiv:2015:Distilling,
 title={Distilling the knowledge in a neural network},
 author={Hinton, Geoffrey and Vinyals, Oriol and Dean, Jeff},
 OPTeprinttype={arXiv},
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 howpublished={Eprint \href{http://arxiv.org/abs/1503.02531}{arXiv:1503.02531}},
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 year=2015
}

@misc{Hoogeboom:arXiv:2023:simpleDiffusion,
 title={Simple diffusion: End-to-end diffusion for high resolution images}, 
 author={Emiel Hoogeboom and Jonathan Heek and Tim Salimans},
 OPTeprinttype={arXiv},
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 howpublished={Eprint \href{https://arxiv.org/abs/2301.11093}{arXiv:2301.11093}},
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 year={2023},
}

@misc{Song:arXiv:2021:scorebased,
 title={Score-Based Generative Modeling through Stochastic Differential Equations},
 author={Yang Song and Jascha Sohl-Dickstein and Diederik P. Kingma and Abhishek Kumar and Stefano Ermon and Ben Poole},
 OPTeprinttype={arXiv},
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 howpublished={Eprint \href{https://arxiv.org/abs/2011.13456}{arXiv:2011.13456}},
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 year={2021}
}

@misc{salimans2022progressivedistillationfastsampling,
 title={Progressive Distillation for Fast Sampling of Diffusion Models}, 
 author={Tim Salimans and Jonathan Ho},
 OPTeprinttype={arXiv},
 OPTeprint={2202.00512},
 howpublished={Eprint \href{https://arxiv.org/abs/2202.00512}{arXiv:2202.00512}},
 OPTurl={https://arxiv.org/abs/2202.00512},
 year={2022}
}

@misc{kingma2023variationaldiffusionmodels,
 title={Variational Diffusion Models}, 
 author={Diederik P. Kingma and Tim Salimans and Ben Poole and Jonathan Ho},
 OPTeprinttype={arXiv},
 OPTeprint={2107.00630},
 howpublished={Eprint \href{https://arxiv.org/abs/2107.00630}{arXiv:2107.00630}},
 OPTurl={https://arxiv.org/abs/2107.00630},
 year={2023}
}

@misc{kingma2023understandingdiffusionobjectiveselbo,
 title={Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation}, 
 author={Diederik P. Kingma and Ruiqi Gao},
 OPTeprinttype={arXiv},
 OPTeprint={2303.00848},
 howpublished={Eprint \href{https://arxiv.org/abs/2303.00848}{arXiv:2303.00848}},
 OPTurl={https://arxiv.org/abs/2303.00848},
 year={2023}
}

@misc{ho2020denoisingdiffusionprobabilisticmodels,
 title={Denoising Diffusion Probabilistic Models}, 
 author={Jonathan Ho and Ajay Jain and Pieter Abbeel},
 OPTeprinttype={arXiv},
 OPTeprint={2006.11239},
 howpublished={Eprint \href{https://arxiv.org/abs/2006.11239}{arXiv:2006.11239}},
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 year={2020}
}

@misc{nichol2021improveddenoisingdiffusionprobabilistic,
 title={Improved Denoising Diffusion Probabilistic Models}, 
 author={Alex Nichol and Prafulla Dhariwal},
 OPTeprinttype={arXiv},
 OPTeprint={2102.09672},
 howpublished={Eprint \href{https://arxiv.org/abs/2102.09672}{arXiv:2102.09672}},
 OPTurl={https://arxiv.org/abs/2102.09672},
 year={2021}
}

@misc{hang2024efficientdiffusiontrainingminsnr,
 title={Efficient Diffusion Training via Min-SNR Weighting Strategy}, 
 author={Tiankai Hang and Shuyang Gu and Chen Li and Jianmin Bao and Dong Chen and Han Hu and Xin Geng and Baining Guo},
 OPTeprinttype={arXiv},
 OPTeprint={2303.09556},
 howpublished={Eprint \href{https://arxiv.org/abs/2303.09556}{arXiv:2303.09556}},
 OPTurl={https://arxiv.org/abs/2303.09556},
 year={2024}
}

@misc{karras2022elucidatingdesignspacediffusionbased,
 title={Elucidating the Design Space of Diffusion-Based Generative Models}, 
 author={Tero Karras and Miika Aittala and Timo Aila and Samuli Laine},
 OPTeprinttype={arXiv},
 OPTeprint={2206.00364},
 howpublished={Eprint \href{https://arxiv.org/abs/2206.00364}{arXiv:2206.00364}},
 OPTurl={https://arxiv.org/abs/2206.00364},
 year={2022}
}

@misc{rombach2022highresolutionimagesynthesislatent,
 title={High-Resolution Image Synthesis with Latent Diffusion Models}, 
 author={Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer},
 OPTeprinttype={arXiv},
 OPTeprint={2112.10752},
 howpublished={Eprint \href{https://arxiv.org/abs/2112.10752}{arXiv:2112.10752}},
 OPTurl={https://arxiv.org/abs/2112.10752},
 year={2022}
}

@misc{ho2022classifierfreediffusionguidance,
 title={Classifier-Free Diffusion Guidance}, 
 author={Jonathan Ho and Tim Salimans},
 OPTeprinttype={arXiv},
 OPTeprint={2207.12598},
 howpublished={Eprint \href{https://arxiv.org/abs/2207.12598}{arXiv:2207.12598}},
 OPTurl={https://arxiv.org/abs/2207.12598},
 year={2022}
}

@misc{peebles2023scalablediffusionmodelstransformers,
 title={Scalable Diffusion Models with Transformers}, 
 author={William Peebles and Saining Xie},
 OPTeprinttype={arXiv},
 OPTeprint={2212.09748},
 howpublished={Eprint \href{https://arxiv.org/abs/2212.09748}{arXiv:2212.09748}},
 OPTurl={https://arxiv.org/abs/2212.09748},
 year={2023}
}

@misc{dhariwal2021diffusionmodelsbeatgans,
 title={Diffusion Models Beat GANs on Image Synthesis}, 
 author={Prafulla Dhariwal and Alex Nichol},
 OPTeprinttype={arXiv},
 OPTeprint={2105.05233},
 howpublished={Eprint \href{https://arxiv.org/abs/2105.05233}{arXiv:2105.05233}},
 OPTurl={https://arxiv.org/abs/2105.05233},
 year={2021}
}

@misc{zhang2023controlvideotrainingfreecontrollabletexttovideo,
 title={ControlVideo: Training-free Controllable Text-to-Video Generation}, 
 author={Yabo Zhang and Yuxiang Wei and Dongsheng Jiang and Xiaopeng Zhang and Wangmeng Zuo and Qi Tian},
 OPTeprinttype={arXiv},
 OPTeprint={2305.13077},
 howpublished={Eprint \href{https://arxiv.org/abs/2305.13077}{arXiv:2305.13077}},
 OPTurl={https://arxiv.org/abs/2305.13077},
 year={2023}
}

@misc{luo2024ctrlvhigherfidelityvideo,
 title={Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion}, 
 author={Ge Ya Luo and Zhi Hao Luo and Anthony Gosselin and Alexia Jolicoeur-Martineau and Christopher Pal},
 OPTeprinttype={arXiv},
 OPTeprint={2406.05630},
 howpublished={Eprint \href{https://arxiv.org/abs/2406.05630}{arXiv:2406.05630}},
 OPTurl={https://arxiv.org/abs/2406.05630},
 year={2024}
}

@misc{Li:arXiv:2023:diffusionClassifier,
  title={Your Diffusion Model is Secretly a Zero-Shot Classifier},
  author={Alexander C. Li and Mihir Prabhudesai and Shivam Duggal and Ellis Brown and Deepak Pathak},
  OPTeprinttype={arXiv},
  OPTeprint={2303.16203},
  howpublished={Eprint \href{https://arxiv.org/abs/2303.16203}{arXiv:2303.16203}},
  OPTurl={https://arxiv.org/abs/2303.16203},
  year={2023},
}

@misc{Krojer:arXiv:2023:DiffusionReasoners,
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  OPTeprinttype={arXiv},
  OPTeprint={2305.16397},
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  OPTurl={https://arxiv.org/abs/2305.16397},
  year={2023},
}

@misc{Ronneberger:arXiv:2015:unet,
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  year={2015},
}

@misc{Fathi:arXiv:2024:DeCoDEx,
  title={DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations}, 
  author={Nima Fathi and Amar Kumar and Brennan Nichyporuk and Mohammad Havaei and Tal Arbel},
  OPTeprinttype={arXiv},
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  howpublished={Eprint \href{https://arxiv.org/abs/2405.09288}{arXiv:2405.09288}},
  OPTurl={https://arxiv.org/abs/2405.09288}, 
  year={2024},
}

@article{Geirhos:2020:ShortcutLearning,
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  author={Robert Geirhos and Jörn-Henrik Jacobsen and Claudio Michaelis and Richard Zemel and Wieland Brendel and Matthias Bethge and Felix A. Wichmann},
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  OPTurl={http://dx.doi.org/10.1038/s42256-020-00257-z},
  publisher={Springer Science and Business Media LLC},
}

@misc{Patterson:arXiv:2021:carbonEmissionsLargeNeural,
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  author={David Patterson and Joseph Gonzalez and Quoc Le and Chen Liang and Lluis-Miquel Munguia and Daniel Rothchild and David So and Maud Texier and Jeff Dean},
  OPTeprinttype={arXiv},
  OPTeprint={2104.10350},
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  OPTurl={https://arxiv.org/abs/2104.10350},
  year={2021},
}

@misc{Sangarya:arXiv:2024:estimatingenvironmentalcostmodels,
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  author={Vishwesh Sangarya and Richard Bradford and Jung-Eun Kim},
  OPTeprinttype={arXiv},
  OPTeprint={2408.01446},
  howpublished={Eprint \href{https://arxiv.org/abs/2408.01446}{arXiv:2408.01446}},
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  year={2024},
}

@misc{ho2022videodiffusionmodels,
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    OPTeprinttype = {arXiv},
    OPTeprint = {2204.03458},
    howpublished = {Eprint \href{https://arxiv.org/abs/2204.03458}{arXiv:2204.03458}},
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    year = {2022}
}

@misc{kong2020diffwave,
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  year={2020},
}

@misc{he2015deep,
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  OPTeprinttype={arXiv},
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}

@misc{dosovitskiy2020image,
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@misc{russakovsky2015imagenet,
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  year={2015},
}

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@misc{goodfellow2014generative,
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@misc{kingma2014autoencoding,
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@misc{irie2021openclip,
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  OPTeprinttype={arXiv},
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}

@misc{tan2019efficientnet,
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  year={2019}
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@misc{liu2021swintransformer,
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  howpublished={Eprint \href{https://arxiv.org/abs/2103.14030}{arXiv:2103.14030}},
  archivePrefix={arXiv},
  OPTeprint={2103.14030},
  primaryClass={cs.CV},
  year={2021},
  url={https://arxiv.org/abs/2103.14030}
}

@misc{Sun:arXiv:2023:RightWrongReason,
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@article{Rotemberg2020APD,
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@misc{guo2024maisimedicalaisynthetic,
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  archivePrefix={arXiv},
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}

@misc{wu2023medsegdiffmedicalimagesegmentation,
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  archivePrefix={arXiv},
  OPTeprint={2211.00611},
  primaryClass={cs.CV},
  year={2023},
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}

@misc{wu2023medsegdiffv2diffusionbasedmedical,
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  archivePrefix={arXiv},
  OPTeprint={2301.11798},
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  year={2023},
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@misc{wolleb2022diffusionmodelsmedicalanomaly,
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  archivePrefix={arXiv},
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@misc{shen2024improvingrobustnessreliabilitymedical,
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  archivePrefix={arXiv},
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  primaryClass={cs.LG},
  year={2024},
  url={https://arxiv.org/abs/2310.15952}
}

@article{adebayo2018sanitycheckssaliencymaps,
  author       = {Julius Adebayo and
                  Justin Gilmer and
                  Michael Muelly and
                  Ian J. Goodfellow and
                  Moritz Hardt and
                  Been Kim},
  title        = {Sanity Checks for Saliency Maps},
  journal      = {CoRR},
  volume       = {abs/1810.03292},
  year         = {2018},
  url          = {http://arxiv.org/abs/1810.03292},
  eprinttype    = {arXiv},
  eprint       = {1810.03292},
  timestamp    = {Tue, 30 Oct 2018 10:49:09 +0100},
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}

@article{arun2021trustworthinesssaliencymaps,
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title = {Assessing the Trustworthiness of Saliency Maps for Localizing                     Abnormalities in Medical Imaging},
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number = {6},
pages = {e200267},
year = {2021},
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}

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@misc{chen2024robustclassificationsinglediffusion,
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      author={Huanran Chen and Yinpeng Dong and Zhengyi Wang and Xiao Yang and Chengqi Duan and Hang Su and Jun Zhu},
      year={2024},
      eprint={2305.15241},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@misc{clark2023texttoimagediffusionmodelszeroshot,
      title={Text-to-Image Diffusion Models are Zero-Shot Classifiers}, 
      author={Kevin Clark and Priyank Jaini},
      year={2023},
      eprint={2303.15233},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2303.15233}, 
}

@misc{sun2023inherentlyinterpretablemultilabelclassification,
      title={Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals}, 
      author={Susu Sun and Stefano Woerner and Andreas Maier and Lisa M. Koch and Christian F. Baumgartner},
      year={2023},
      eprint={2303.00500},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@article{NAIR2020101557,
title = {Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation},
journal = {Medical Image Analysis},
volume = {59},
pages = {101557},
year = {2020},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2019.101557},
url = {https://www.sciencedirect.com/science/article/pii/S1361841519300994},
author = {Tanya Nair and Doina Precup and Douglas L. Arnold and Tal Arbel},
keywords = {Uncertainty, Deep learning, Segmentation, Detection, Multiple sclerosis},
}

@misc{sanchez2022healthygenerativecounterfactualdiffusion,
      title={What is Healthy? Generative Counterfactual Diffusion for Lesion Localization}, 
      author={Pedro Sanchez and Antanas Kascenas and Xiao Liu and Alison Q. O'Neil and Sotirios A. Tsaftaris},
      year={2022},
      eprint={2207.12268},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@misc{bedel2023dreamrdiffusiondrivencounterfactualexplanation,
      title={DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI}, 
      author={Hasan Atakan Bedel and Tolga Çukur},
      year={2023},
      eprint={2307.09547},
      archivePrefix={arXiv},
      primaryClass={eess.SP},
      url={https://arxiv.org/abs/2307.09547}, 
}

@misc{weng2024fastdiffusionbasedcounterfactualsshortcut,
      title={Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation}, 
      author={Nina Weng and Paraskevas Pegios and Eike Petersen and Aasa Feragen and Siavash Bigdeli},
      year={2024},
      eprint={2312.14223},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2312.14223}, 
}

@misc{pegios2024diffusionbasediterativecounterfactualexplanations,
      title={Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment}, 
      author={Paraskevas Pegios and Manxi Lin and Nina Weng and Morten Bo Søndergaard Svendsen and Zahra Bashir and Siavash Bigdeli and Anders Nymark Christensen and Martin Tolsgaard and Aasa Feragen},
      year={2024},
      eprint={2403.08700},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2403.08700}, 
}

@misc{amit2023annotatorconsensuspredictionmedical,
      title={Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models}, 
      author={Tomer Amit and Shmuel Shichrur and Tal Shaharabany and Lior Wolf},
      year={2023},
      eprint={2306.09004},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2306.09004}, 
}