Follow
Emre Kıcıman
Emre Kıcıman
Senior Principal Researcher, Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Observer Effect in Social Media Use
K Saha, P Gupta, G Mark, E Kiciman, M De Choudhury
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-20, 2024
12024
Data driven approaches to improve understanding of process-based models and decision making
S Sharma, S Sharma, EM Kiciman, R Chandra, S Malvar, ER Rodrigues
US Patent App. 18/163,156, 2024
2024
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
S Sharma, S Sharma, R Padilha, E Kiciman, R Chandra
arXiv preprint arXiv:2401.07175, 2024
2024
Benchmarking and defending against indirect prompt injection attacks on large language models
J Yi, Y Xie, B Zhu, K Hines, E Kiciman, G Sun, X Xie, F Wu
arXiv preprint arXiv:2312.14197, 2023
172023
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
S Abdali, A Parikh, S Lim, E Kiciman
arXiv preprint arXiv:2312.06820, 2023
22023
A glitch in the Matrix? Locating and detecting language model grounding with Fakepedia
G Monea, M Peyrard, M Josifoski, V Chaudhary, J Eisner, E Kıcıman, ...
arXiv preprint arXiv:2312.02073, 2023
32023
Trialscope a unifying causal framework for scaling real-world evidence generation with biomedical language models
J González, C Wong, Z Gero, J Bagga, R Ueno, I Chien, E Orakvin, ...
arXiv preprint arXiv:2311.01301, 2023
22023
Food Choice Mimicry on a Large University Campus
K Gligoric, A Chiolero, E Kıcıman, RW White, E Horvitz, R West
arXiv preprint arXiv:2308.16095, 2023
2023
Towards Modular Machine Learning Pipelines
A Modi, JN Kaur, M Makar, P Mallapragada, A Sharma, E Kiciman, ...
ICML Workshop on Localized Learning (LLW), 2023
2023
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science
S Sharma, S Sharma, L Liu, R Tushir, A Neal, R Ness, J Crawford, ...
arXiv preprint arXiv:2306.09302, 2023
12023
Optimization and decision-making using causal aware machine learning models trained from simulators
EM Kiciman, Q Zhang, C Zhang, S Sharma, D Yuhao, R Chandra
US Patent App. 17/531,700, 2023
2023
Adversarial training to minimize data poisoning attacks
JW Stokes III, EM Kiciman, MA Prasad, AT Marshall
US Patent App. 17/710,973, 2023
22023
Causal reasoning and large language models: Opening a new frontier for causality
E Kıcıman, R Ness, A Sharma, C Tan
arXiv preprint arXiv:2305.00050, 2023
1132023
Counterfactual (non-) identifiability of learned structural causal models
A Nasr-Esfahany, E Kiciman
arXiv preprint arXiv:2301.09031, 2023
72023
Sensitivity analysis for causality in observational studies for regulatory science
I Díaz, H Lee, E Kıcıman, EJ Schenck, M Akacha, D Follman, D Ghosh
Journal of Clinical and Translational Science 7 (1), e267, 2023
12023
A causal roadmap for generating high-quality real-world evidence
LE Dang, S Gruber, H Lee, IJ Dahabreh, EA Stuart, BD Williamson, ...
Journal of Clinical and Translational Science 7 (1), e212, 2023
102023
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
J Neet Kaur, E Kiciman, A Sharma
The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
19*2023
Causal Modeling of Soil Processes for Improved Generalization
AL Neal, S Sharma, JW Crawford, E Kiciman, S Malvar, E Rodriguez, ...
NeurIPS 2022, 2022
2022
Causal Modeling of Soil Processes for Improved Generalization
S Sharma, S Sharma, A Neal, S Malvar, E Rodrigues, J Crawford, ...
arXiv preprint arXiv:2211.05675, 2022
12022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems
P Bansal, Y Prabhu, E Kiciman, A Sharma
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20