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Eshika Saxena
Eshika Saxena
Meta (FAIR), previously at Harvard University
Verified email at meta.com
Title
Cited by
Cited by
Year
Openxai: Towards a transparent evaluation of model explanations
C Agarwal, S Krishna, E Saxena, M Pawelczyk, N Johnson, I Puri, M Zitnik, ...
Advances in Neural Information Processing Systems 35, 15784-15799, 2022
1052022
Rethinking stability for attribution-based explanations
C Agarwal, N Johnson, M Pawelczyk, S Krishna, E Saxena, M Zitnik, ...
arXiv preprint arXiv:2203.06877, 2022
352022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
C Agarwal, S Krishna, E Saxena, M Pawelczyk, N Johnson, I Puri, M Zitnik, ...
Advances in neural information processing systems, 2023
32023
Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers
E Saxena
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13140 …, 2022
22022
OpenXAI: A Comprehensive Framework for Transparent Evaluation and Benchmarking of Explanation Methods for Machine Learning Models
E Saxena
2023
VITALSIGHT: TEMPORAL AMPLIFICATION OF PHOTOPLETHYSMOGRAPHIC AND BIOMETRIC SIGNALS HIDDEN IN VIDEO STREAMS FOR CONTACTLESS MONITORING OF CARDIOVASCULAR HEALTH AND IDENTITY …
G Foss, E Saxena
2018 AAAS Annual Meeting, 2018
2018
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Articles 1–6