Segal, Eran

13 publications

ICLRW 2025 CardioPRIME: Cardiovascular Physiological Representation Integration with Multimodal Embeddings Zachary Levine, Hagai Rossman, Eran Segal

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

NeurIPS 2025 Decoding Causal Structure: End-to-End Mediation Pathways Inference Yulong Li, Xiwei Liu, Feilong Tang, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak, Eran Segal

ICLRW 2025 Delta ECG: A Genetic Perspective Zachary Levine, Hagai Rossman, Eran Segal

ICLRW 2025 GluFormer: Learning Generalizable Representations from Continuous Glucose Monitoring Data Guy Lutsker, Gal Sapir, Smadar Shilo, Jordi Merino, Anastasia Godneva, Jerry R Greenfield, Dorit Samocha-Bonet, Raja Dhir, Francisco Gude, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal

NeurIPS 2018 Regularization Learning Networks: Deep Learning for Tabular Datasets Ira Shavitt, Eran Segal

JMLR 2005 Learning Module Networks Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

NeurIPS 2004 Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag

UAI 2003 Learning Module Networks Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

NeurIPS 2002 Boosting Density Estimation Saharon Rosset, Eran Segal

UAI 2001 Exact Inference in Networks with Discrete Children of Continuous Parents Uri Lerner, Eran Segal, Daphne Koller

NeurIPS 2001 Probabilistic Abstraction Hierarchies Eran Segal, Daphne Koller, Dirk Ormoneit

IJCAI 2001 Probabilistic Classification and Clustering in Relational Data Benjamin Taskar, Eran Segal, Daphne Koller