Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu 0002. Towards a Persistence Diagram that is Robust to Noise and Varied Densities. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 41952-41972, PMLR, 2023. [doi]
@inproceedings{ZhangZT023-0,
title = {Towards a Persistence Diagram that is Robust to Noise and Varied Densities},
author = {Hang Zhang and Kaifeng Zhang and Kai Ming Ting and Ye Zhu 0002},
year = {2023},
url = {https://proceedings.mlr.press/v202/zhang23bb.html},
researchr = {https://researchr.org/publication/ZhangZT023-0},
cites = {0},
citedby = {0},
pages = {41952-41972},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
volume = {202},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}