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Haiyang Huang
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Interpretable machine learning: Fundamental principles and 10 grand challenges
C Rudin, C Chen, Z Chen, H Huang, L Semenova, C Zhong
Statistics Surveys 16, 1-85, 2022
9072022
Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMAP, and PaCMAP for data visualization
Y Wang*, H Huang*, C Rudin, Y Shaposhnik
Journal of Machine Learning Research 22 (201), 1-73, 2021
4222021
Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization
H Huang*, Y Wang*, C Rudin, EP Browne
Communications biology 5 (1), 719, 2022
772022
Toward Efficient Inference for Mixture of Experts
H Huang, N Ardalani, A Sun, L Ke, S Bhosale, HHS Lee, CJ Wu, B Lee
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
14*
Segdiscover: Visual concept discovery via unsupervised semantic segmentation
H Huang*, Z Chen*, C Rudin
arXiv preprint arXiv:2204.10926, 2022
102022
Navigating the Effect of Parametrization for Dimensionality Reduction
H Huang, Y Wang, C Rudin
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0
1*
Dimension Reduction with Locally Adjusted Graphs
Y Wang, Y Sun, H Huang, C Rudin
The Thirty-Ninth AAAI Conference on Artificial Intelligence 2025, 0
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Artiklar 1–7