Obserwuj
Keegan Hines
Keegan Hines
Georgetown University, University of Texas
Zweryfikowany adres z georgetown.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Counterfactual explanations for machine learning: A review
S Verma, J Dickerson, K Hines
2020 NeurIPS Workshop on ML Retrospectives, 2020
531*2020
Towards automated machine learning: Evaluation and comparison of AutoML approaches and tools
A Truong, A Walters, J Goodsitt, K Hines, CB Bruss, R Farivar
2019 IEEE 31st international conference on tools with artificial …, 2019
2452019
Determination of parameter identifiability in nonlinear biophysical models: A Bayesian approach
KE Hines, TR Middendorf, RW Aldrich
Journal of General Physiology 143 (3), 401-416, 2014
1662014
A primer on Bayesian inference for biophysical systems
KE Hines
Biophysical journal 108 (9), 2103-2113, 2015
712015
Deeptrax: Embedding graphs of financial transactions
A Khazane, J Rider, M Serpe, A Gogoglou, K Hines, CB Bruss, R Serpe
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
582019
Analyzing single-molecule time series via nonparametric Bayesian inference
KE Hines, JR Bankston, RW Aldrich
Biophysical journal 108 (3), 540-556, 2015
532015
Inferring subunit stoichiometry from single molecule photobleaching
KE Hines
Biophysical Journal 104 (2), 527a, 2013
482013
Counterfactual explanations for machine learning: Challenges revisited
S Verma, J Dickerson, K Hines
arXiv preprint arXiv:2106.07756, 2021
302021
Amortized generation of sequential algorithmic recourses for black-box models
S Verma, K Hines, JP Dickerson
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8512-8519, 2022
202022
Counterfactual explanations for machine learning: A review. arXiv 2020
S Verma, J Dickerson, K Hines
arXiv preprint arXiv:2010.10596, 0
19
Neural embeddings of transaction data
C Bruss, K Hines
US Patent 10,789,530, 2020
142020
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
132023
Equalizing credit opportunity in algorithms: Aligning algorithmic fairness research with us fair lending regulation
IE Kumar, KE Hines, JP Dickerson
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 357-368, 2022
122022
Systems and methods for text localization and recognition in an image of a document
MR Sarshogh, K Hines
US Patent 10,671,878, 2020
102020
On the interpretability and evaluation of graph representation learning
A Gogoglou, CB Bruss, KE Hines
2019 NeurIPS Workshop on Graph Representation Learning, 2019
102019
A Multitask Network for Localization and Recognition of Text in Images
MR Sarshogh, KE Hines
2019 IEEE International Conference on Document Analysis and Recognition, 2019
92019
Counterfactual explanations for machine learning: A review (2020). doi: 10.48550
S Verma, J Dickerson, K Hines
ARXIV, 2010
92010
Amortized Generation of Sequential Counterfactual Explanations for Black-box Models
S Verma, K Hines, JP Dickerson
AAAI 2022, 2021
62021
Machine learning monitoring systems and methods
A Wenchel, J Dickerson, P Alexander, E O'sullivan, K Hines
US Patent 11,922,280, 2024
52024
Graph embeddings at scale
CB Bruss, A Khazane, J Rider, R Serpe, S Nagrecha, KE Hines
arXiv preprint arXiv:1907.01705, 2019
42019
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