Lesia Semenova

17 papers A* 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets. CoRR Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
2025	J	`jnl`	Fast and interpretable mortality risk scores for critical care patients. J. Am. Medical Informatics Assoc. Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin
2025	J	`jnl`	Many Ways to be Right: Rashomon Sets for Concept-Based Neural Networks. CoRR Shihan Feng, Cheng Zhang, Michael Xi, Ethan Hsu, Lesia Semenova, Chudi Zhong
2025	J	`jnl`	The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning. CoRR Ethan Hsu, Harry Chen, Chudi Zhong, Lesia Semenova
2025	—	`conf`	This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN. MICCAI (14) Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2025	J	`jnl`	This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN. CoRR Dennis Tang, Jon Donnelly, Alina Jade Barnett, Lesia Semenova, Jin Jing, Peter Hadar, Ioannis Karakis, Olga Selioutski, Kehan Zhao, M. Brandon Westover, Cynthia Rudin
2024	J	`jnl`	Amazing Things Come From Having Many Good Models. CoRR Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2024	A*	`conf`	Position: Amazing Things Come From Having Many Good Models. ICML Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2024	A*	`conf`	Using Noise to Infer Aspects of Simplicity Without Learning. NeurIPS Zachery Boner, Harry Chen, Lesia Semenova, Ronald Parr, Cynthia Rudin
2023	A*	`conf`	A Path to Simpler Models Starts With Noise. NeurIPS Lesia Semenova, Harry Chen, Ronald Parr, Cynthia Rudin
2023	J	`jnl`	A Path to Simpler Models Starts With Noise. CoRR Lesia Semenova, Harry Chen, Ronald Parr, Cynthia Rudin
2023	J	`jnl`	Fast and Interpretable Mortality Risk Scores for Critical Care Patients. CoRR Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin
2023	J	`jnl`	ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges. CoRR Dennis Tang, Frank Willard, Ronan Tegerdine, Luke Triplett, Jon Donnelly, Luke Moffett, Lesia Semenova, Alina Jade Barnett, Jin Jing, Cynthia Rudin, M. Brandon Westover
2022	—	`conf`	On the Existence of Simpler Machine Learning Models. FAccT Lesia Semenova, Cynthia Rudin, Ronald Parr
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	J	`jnl`	Multitask Learning for Citation Purpose Classification. CoRR Alex Oesterling, Angikar Ghosal, Haoyang Yu, Rui Xin, Yasa Baig, Lesia Semenova, Cynthia Rudin
2019	J	`jnl`	A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning. CoRR Lesia Semenova, Cynthia Rudin