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@@ -79,23 +79,32 @@ Samples and model checkpoints will be logged to `./results` periodically
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## Citations
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```bibtex
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@misc{ho2020denoising,
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title = {Denoising Diffusion Probabilistic Models},
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author = {Jonathan Ho and Ajay Jain and Pieter Abbeel},
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year = {2020},
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eprint = {2006.11239},
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archivePrefix = {arXiv},
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primaryClass = {cs.LG}
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@inproceedings{NEURIPS2020_4c5bcfec,
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author = {Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
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booktitle = {Advances in Neural Information Processing Systems},
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editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
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pages = {6840--6851},
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publisher = {Curran Associates, Inc.},
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title = {Denoising Diffusion Probabilistic Models},
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url = {https://proceedings.neurips.cc/paper/2020/file/4c5bcfec8584af0d967f1ab10179ca4b-Paper.pdf},
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volume = {33},
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year = {2020}
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}
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```
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```bibtex
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@inproceedings{anonymous2021improved,
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title = {Improved Denoising Diffusion Probabilistic Models},
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author = {Anonymous},
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booktitle = {Submitted to International Conference on Learning Representations},
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year = {2021},
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url = {https://openreview.net/forum?id=-NEXDKk8gZ},
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note = {under review}
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@InProceedings{pmlr-v139-nichol21a,
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title = {Improved Denoising Diffusion Probabilistic Models},
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author = {Nichol, Alexander Quinn and Dhariwal, Prafulla},
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booktitle = {Proceedings of the 38th International Conference on Machine Learning},
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pages = {8162--8171},
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year = {2021},
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editor = {Meila, Marina and Zhang, Tong},
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volume = {139},
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series = {Proceedings of Machine Learning Research},
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month = {18--24 Jul},
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publisher = {PMLR},
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pdf = {http://proceedings.mlr.press/v139/nichol21a/nichol21a.pdf},
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url = {https://proceedings.mlr.press/v139/nichol21a.html},
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}
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```
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