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Brandon Carter
Brandon Carter
MIT CSAIL
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
Using deep learning to annotate the protein universe
ML Bileschi, D Belanger, DH Bryant, T Sanderson, B Carter, D Sculley, ...
Nature Biotechnology, 1-6, 2022
2202022
Antibody complementarity determining region design using high-capacity machine learning
G Liu, H Zeng, J Mueller, B Carter, Z Wang, J Schilz, G Horny, ...
Bioinformatics 36 (7), 2126-2133, 2020
1412020
What made you do this? Understanding black-box decisions with sufficient input subsets
B Carter, J Mueller, S Jain, D Gifford
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
73*2019
Lost in pruning: The effects of pruning neural networks beyond test accuracy
L Liebenwein, C Baykal, B Carter, D Gifford, D Rus
Proceedings of Machine Learning and Systems 3, 2021
672021
Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions
G Liu, B Carter, T Bricken, S Jain, M Viard, M Carrington, DK Gifford
Cell Systems 11 (2), 131-144. e6, 2020
632020
Embedding comparator: Visualizing differences in global structure and local neighborhoods via small multiples
A Boggust, B Carter, A Satyanarayan
27th International Conference on Intelligent User Interfaces, 746-766, 2022
512022
Overinterpretation reveals image classification model pathologies
B Carter, S Jain, JW Mueller, D Gifford
Advances in Neural Information Processing Systems 34, 2021
502021
Predicted cellular immunity population coverage gaps for SARS-CoV-2 subunit vaccines and their augmentation by compact peptide sets
G Liu, B Carter, DK Gifford
Cell Systems 12 (1), 102-107. e4, 2021
462021
Machine learning optimization of peptides for presentation by class II MHCs
Z Dai, BD Huisman, H Zeng, B Carter, S Jain, ME Birnbaum, DK Gifford
Bioinformatics 37 (19), 3160-3167, 2021
112021
Critiquing protein family classification models using sufficient input subsets
B Carter, M Bileschi, J Smith, T Sanderson, D Bryant, D Belanger, ...
Journal of Computational Biology 27 (8), 1219-1231, 2020
92020
A pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta
B Carter, P Huang, G Liu, Y Liang, PJC Lin, BH Peng, LGA McKay, ...
Frontiers in Immunology 14, 710, 2023
62023
Maximum n-times Coverage for Vaccine Design
G Liu, A Dimitrakakis, B Carter, D Gifford
arXiv preprint arXiv:2101.10902, 2021
52021
Safety and efficacy of ganciclovir ophthalmic gel for treatment of adenovirus keratoconjunctivitis utilizing cell culture and animal models
SP Epstein, KB Fernandez, BM Carter, SA Abdou, N Gadaria, PA Asbell
Investigative Ophthalmology & Visual Science 53 (14), 6203-6203, 2012
32012
Survey of Fully Verifiable Voting Cryptoschemes
B Carter, K Leidal, D Neal, Z Neely
22016
Preliminary Immunogenicity of a Pan-COVID-19 T Cell Vaccine in HLA-A* 02: 01 Mice
B Carter, J Chen, C Kaseke, A Dimitrakakis, GD Gaiha, Q Xu, DK Gifford
bioRxiv, 2021.05. 02.442052, 2021
12021
Machine learning model interpretations explain T cell receptor binding
B Carter, J Krog, ME Birnbaum, DK Gifford
bioRxiv, 2023.08. 15.553228, 2023
2023
Interpretations of Machine Learning and Their Application to Therapeutic Design
BM Carter
Massachusetts Institute of Technology, 2023
2023
Interpreting black-box models through sufficient input subsets
BM Carter
Massachusetts Institute of Technology, 2019
2019
Local and global model interpretability via backward selection and clustering
B Carter, J Mueller, S Jain, D Gifford
2018
Fast-Fi: Designing Large Throughput-Optimized Wireless Networks
B Carter, G Mirano, H Zhou
2016
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Articles 1–20