| %% LaTeX2e file `references.bib' | |
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| @book{goodfellow2016deep, | |
| title={Deep learning}, | |
| author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron and Bengio, Yoshua}, | |
| volume={1}, | |
| year={2016}, | |
| publisher={MIT Press} | |
| } | |
| @article{yang2023diffusion, | |
| title={Diffusion models: A comprehensive survey of methods and applications}, | |
| author={Yang, Ling and Zhang, Zhilong and Song, Yang and Hong, Shenda and Xu, Runsheng and Zhao, Yue and Zhang, Wentao and Cui, Bin and Yang, Ming-Hsuan}, | |
| journal={ACM Computing Surveys}, | |
| volume={56}, | |
| number={4}, | |
| pages={1--39}, | |
| year={2023}, | |
| publisher={ACM New York, NY, USA} | |
| } | |
| @inproceedings{ddpm, | |
| author = {Ho, Jonathan and Jain, Ajay and Abbeel, Pieter}, | |
| booktitle = {Advances in Neural Information Processing Systems}, | |
| editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin}, | |
| pages = {6840--6851}, | |
| publisher = {Curran Associates, Inc.}, | |
| title = {Denoising Diffusion Probabilistic Models}, | |
| url = {https://proceedings.neurips.cc/paper/2020/file/4c5bcfec8584af0d967f1ab10179ca4b-Paper.pdf}, | |
| volume = {33}, | |
| year = {2020} | |
| } | |
| @inproceedings{vae, | |
| added-at = {2020-10-15T14:36:56.000+0200}, | |
| author = {Kingma, Diederik P. and Welling, Max}, | |
| biburl = {https://www.bibsonomy.org/bibtex/242e5be6faa01cba2587f4907ac99dce8/annakrause}, | |
| booktitle = {2nd International Conference on Learning Representations, {ICLR} 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings}, | |
| eprint = {http://arxiv.org/abs/1312.6114v10}, | |
| eprintclass = {stat.ML}, | |
| eprinttype = {arXiv}, | |
| file = {:http\://arxiv.org/pdf/1312.6114v10:PDF;:KingmaWelling_Auto-EncodingVariationalBayes.pdf:PDF}, | |
| interhash = {a626a9d77a123c52405a08da983203cb}, | |
| intrahash = {42e5be6faa01cba2587f4907ac99dce8}, | |
| keywords = {cs.LG stat.ML vae}, | |
| timestamp = {2021-02-01T17:13:18.000+0100}, | |
| title = {{Auto-Encoding Variational Bayes}}, | |
| year = 2014 | |
| } | |
| @inproceedings{gan, | |
| author = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua}, | |
| booktitle = {Advances in Neural Information Processing Systems}, | |
| editor = {Z. Ghahramani and M. Welling and C. Cortes and N. Lawrence and K.Q. Weinberger}, | |
| pages = {}, | |
| publisher = {Curran Associates, Inc.}, | |
| title = {Generative Adversarial Nets}, | |
| url = {https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf}, | |
| volume = {27}, | |
| year = {2014} | |
| } | |
| @InProceedings{pmlr-v37-sohl-dickstein15, | |
| title = {Deep Unsupervised Learning using Nonequilibrium Thermodynamics}, | |
| author = {Sohl-Dickstein, Jascha and Weiss, Eric and Maheswaranathan, Niru and Ganguli, Surya}, | |
| booktitle = {Proceedings of the 32nd International Conference on Machine Learning}, | |
| pages = {2256--2265}, | |
| year = {2015}, | |
| editor = {Bach, Francis and Blei, David}, | |
| volume = {37}, | |
| series = {Proceedings of Machine Learning Research}, | |
| address = {Lille, France}, | |
| month = {07--09 Jul}, | |
| publisher = {PMLR} | |
| } | |
| @inproceedings{ | |
| edm, | |
| title={Elucidating the Design Space of Diffusion-Based Generative Models}, | |
| author={Tero Karras and Miika Aittala and Timo Aila and Samuli Laine}, | |
| booktitle={Advances in Neural Information Processing Systems}, | |
| editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho}, | |
| year={2022}, | |
| url={https://openreview.net/forum?id=k7FuTOWMOc7} | |
| } | |
| @misc{kotelnikov2022tabddpm, | |
| title={TabDDPM: Modelling Tabular Data with Diffusion Models}, | |
| author={Akim Kotelnikov and Dmitry Baranchuk and Ivan Rubachev and Artem Babenko}, | |
| year={2022}, | |
| eprint={2209.15421}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.LG} | |
| } | |
| @Article{Tiago2024ADT, | |
| author = {Cristiana Tiago and S. Snare and Jurica Šprem and K. Mcleod}, | |
| booktitle = {IEEE Access}, | |
| journal = {IEEE Access}, | |
| pages = {17594-17602}, | |
| title = {A Domain Translation Framework With an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images}, | |
| volume = {11}, | |
| year = {2024} | |
| } | |
| @Article{Gulrajani2017ImprovedTO, | |
| author = {Ishaan Gulrajani and Faruk Ahmed and Martín Arjovsky and Vincent Dumoulin and Aaron C. Courville}, | |
| booktitle = {Neural Information Processing Systems}, | |
| pages = {5767-5777}, | |
| title = {Improved Training of Wasserstein GANs}, | |
| year = {2017} | |
| } | |
| @Article{Song2020ScoreBasedGM, | |
| author = {Yang Song and Jascha Narain Sohl-Dickstein and Diederik P. Kingma and Abhishek Kumar and Stefano Ermon and Ben Poole}, | |
| booktitle = {International Conference on Learning Representations}, | |
| journal = {ArXiv}, | |
| title = {Score-Based Generative Modeling through Stochastic Differential Equations}, | |
| volume = {abs/2011.13456}, | |
| year = {2020} | |
| } | |