Zhi Chen

According to our database, Zhi Chen authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sparse and Faithful Explanations Without Sparse Models.

Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin

CoRR, 2024

2023

Human-in-the-loop Machine Learning System via Model Interpretability.

Zhi Chen

PhD thesis, 2023

Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models.

Zhi Chen, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin

CoRR, 2023

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models.

Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?

Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation.

Haiyang Huang, Zhi Chen, Cynthia Rudin

CoRR, 2022

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization.

Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Exploring the Whole Rashomon Set of Sparse Decision Trees.

Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

2D elastodynamic metamaterials.

Alexander C. Ogren, Zhi Chen, L. Catherine Brinson, Mary Bastawrous, Cynthia Rudin, Chiara Daraio

Dataset, November, 2021

How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning.

Zhi Chen, Alexander C. Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin

CoRR, 2021

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.

Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong

CoRR, 2021

Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data.

Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Concept whitening for interpretable image recognition.

Zhi Chen, Yijie Bei, Cynthia Rudin

Nat. Mach. Intell., 2020

2017

Adversarial Feature Matching for Text Generation.

Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

Proceedings of the 34th International Conference on Machine Learning, 2017