Zhi Chen - RankMe

20 papers A* 3A 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning. CoRR Mary Bastawrous, Zhi Chen, Alexander C. Ogren, Chiara Daraio, Cynthia Rudin, L. Catherine Brinson
2024	A	`conf`	Sparse and Faithful Explanations Without Sparse Models. AISTATS Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin
2024	J	`jnl`	Sparse and Faithful Explanations Without Sparse Models. CoRR Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin
2023	A*	`conf`	Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. NeurIPS Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin
2023	—	`—`	Human-in-the-loop Machine Learning System via Model Interpretability. Zhi Chen
2023	—	`conf`	Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CHIL Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
2023	J	`jnl`	Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CoRR Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
2023	J	`jnl`	Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models. CoRR Zhi Chen, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
2022	A*	`conf`	Exploring the Whole Rashomon Set of Sparse Decision Trees. NeurIPS Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin
2022	J	`jnl`	Exploring the Whole Rashomon Set of Sparse Decision Trees. CoRR Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin
2022	J	`jnl`	SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation. CoRR Haiyang Huang, Zhi Chen, Cynthia Rudin
2022	—	`conf`	TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. IEEE VIS (Short Papers) Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
2022	J	`jnl`	TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. CoRR Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
2021	J	`jnl`	How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning. CoRR Zhi Chen, Alexander C. Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin
2021	J	`jnl`	Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. CoRR Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong
2021	—	`conf`	Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data. PKDD/ECML Workshops (1) Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana
2020	J	`jnl`	Concept Whitening for Interpretable Image Recognition. CoRR Zhi Chen, Yijie Bei, Cynthia Rudin
2020	J	`jnl`	Concept whitening for interpretable image recognition. Nat. Mach. Intell. Zhi Chen, Yijie Bei, Cynthia Rudin
2017	A*	`conf`	Adversarial Feature Matching for Text Generation. ICML Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin
2017	J	`jnl`	Adversarial Feature Matching for Text Generation. CoRR Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin