Marie-Laure Charpignon

12 papers A* 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Effect Estimation with Learned Instrument Representations. CoRR Frances Dean, Jenna Fields, Radhika Bhalerao, Marie-Laure Charpignon, Ahmed Alaa
2026	J	`jnl`	Socio-Spatial Patterns of Suicide Mortality in the United States. CoRR Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon, Philippe J. Giabbanelli, Praveen Kumar
2025	—	`conf`	Investigating Primary Care Indications to Improve the Quality of Electronic Health Record Data in Target Trial Emulation for Dementia. CHIL Max I Sunog, Colin G. Magdamo, Marie-Laure Charpignon, Mark W. Albers
2025	—	`conf`	LLM-Based Web Data Collection for Research Dataset Creation. EMNLP (Findings) Thomas Berkane, Marie-Laure Charpignon, Maimuna S. Majumder
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025	J	`jnl`	Statistical vs. Deep Learning Models for Estimating Substance Overdose Excess Mortality in the US. CoRR Sukanya Krishna, Marie-Laure Charpignon, Maimuna S. Majumder
2024	J	`jnl`	What we should learn from pandemic publishing. CoRR Satyaki Sikdar, Sara Venturini, Marie-Laure Charpignon, Sagar Kumar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato, Maimuna S. Majumder
2024	A*	`conf`	epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
2023	J	`jnl`	Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa
2023	J	`jnl`	causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data. Comput. Methods Programs Biomed. Bella Vakulenko-Lagun, Colin G. Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark W. Albers, Sudeshna Das
2023	A*	`conf`	epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022	A*	`conf`	epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash