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Ian Covert
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Cited by
Year
Understanding global feature contributions with additive importance measures
I Covert, S Lundberg, SI Lee
arXiv preprint arXiv:2004.00668, 2020
2852020
Neural granger causality for nonlinear time series
A Tank, I Covert, N Foti, A Shojaie, E Fox
arXiv preprint arXiv:1802.05842, 2018
267*2018
Explaining by removing: a unified framework for model explanation
I Covert, S Lundberg, SI Lee
arXiv preprint arXiv:2011.14878, 2020
1962020
Improving KernelSHAP: Practical Shapley value estimation using linear regression
I Covert, SI Lee
International Conference on Artificial Intelligence and Statistics, 3457-3465, 2021
123*2021
What does a platypus look like? Generating customized prompts for zero-shot image classification
S Pratt, I Covert, R Liu, A Farhadi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
932023
FastSHAP: Real-time Shapley value estimation
N Jethani, M Sudarshan, I Covert, SI Lee, R Ranganath
arXiv e-prints, arXiv: 2107.07436, 2021
772021
Temporal graph convolutional networks for automatic seizure detection
IC Covert, B Krishnan, I Najm, J Zhan, M Shore, J Hixson, MJ Po
Machine learning for healthcare conference, 160-180, 2019
682019
Algorithms to estimate Shapley value feature attributions
H Chen, IC Covert, SM Lundberg, SI Lee
Nature Machine Intelligence 5 (6), 590-601, 2023
672023
Feature removal is a unifying principle for model explanation methods
I Covert, S Lundberg, SI Lee
arXiv preprint arXiv:2011.03623, 2020
302020
An interpretable and sparse neural network model for nonlinear granger causality discovery
A Tank, I Covert, NJ Foti, A Shojaie, EB Fox
arXiv preprint arXiv:1711.08160, 2017
282017
Learning to estimate Shapley values with vision transformers
I Covert, C Kim, SI Lee
arXiv preprint arXiv:2206.05282, 2022
172022
Learning to maximize mutual information for dynamic feature selection
I Covert, W Qiu, M Lu, N Kim, N White, SI Lee
arXiv preprint arXiv:2301.00557, 2023
132023
Predictive and robust gene selection for spatial transcriptomics
I Covert, R Gala, T Wang, K Svoboda, U Sümbül, SI Lee
Nature Communications 14 (1), 2091, 2023
7*2023
Disrupting model training with adversarial shortcuts
I Evtimov, I Covert, A Kusupati, T Kohno
arXiv preprint arXiv:2106.06654, 2021
72021
On the robustness of removal-based feature attributions
C Lin, I Covert, SI Lee
arXiv preprint arXiv:2306.07462, 2023
32023
Deep unsupervised feature selection
I Covert, U Sumbul, SI Lee
22019
Shapley feature utility
IC Covert, S Lundberg, SI Lee
Machine Learning in Computational Biology, 2019
12019
Feature Selection in the Contrastive Analysis Setting
E Weinberger, I Covert, SI Lee
Advances in Neural Information Processing Systems 36, 2024
2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
I Covert, C Kim, SI Lee, J Zou, T Hashimoto
arXiv preprint arXiv:2401.15866, 2024
2024
Estimating conditional mutual information for dynamic feature selection
S Gadgil, I Covert, SI Lee
arXiv preprint arXiv:2306.03301, 2023
2023
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