Giannone, G., et al. “Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation”. Advances in Neural Information Processing Systems, vol. 36, 2023, pp. 51830–61, https://proceedings.neurips.cc/paper_files/paper/2023/file/a2fe4bb50fc6f3564cee1551d6309fea-Paper-Conference.pdf.
APA
Giannone, G., Srivastava, A., Winther, O., & Ahmed, F. (2023). Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. Advances in Neural Information Processing Systems, 36, 51830–51861. https://proceedings.neurips.cc/paper_files/paper/2023/file/a2fe4bb50fc6f3564cee1551d6309fea-Paper-Conference.pdf
Chicago
Giannone, G., A. Srivastava, O. Winther, and F. Ahmed. 2023. “Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation”. Advances in Neural Information Processing Systems 36: 51830–61. https://proceedings.neurips.cc/paper_files/paper/2023/file/a2fe4bb50fc6f3564cee1551d6309fea-Paper-Conference.pdf.
Harvard
Giannone, G. et al. (2023) “Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation”, Advances in Neural Information Processing Systems. Curran Associates, Inc., pp. 51830–51861. Available at: https://proceedings.neurips.cc/paper_files/paper/2023/file/a2fe4bb50fc6f3564cee1551d6309fea-Paper-Conference.pdf.
Vancouver
1. Giannone G, Srivastava A, Winther O, Ahmed F (2023) Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. In: Advances in Neural Information Processing Systems. Curran Associates, Inc., pp 51830–51861
BibTeX
@inproceedings{giannone2023aligning,
title = {Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation},
author = {Giannone, Giorgio and Srivastava, Akash and Winther, Ole and Ahmed, Faez},
year = {2023},
booktitle = {Advances in Neural Information Processing Systems},
publisher = {Curran Associates, Inc.},
volume = {36},
pages = {51830-51861},
url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/a2fe4bb50fc6f3564cee1551d6309fea-Paper-Conference.pdf}
}