Brandon Carter

According to our database, Brandon Carter authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Interpretations of Machine Learning and Their Application to Therapeutic Design

Brandon Carter

PhD thesis, 2023

2022

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples.

Angie W. Boggust, Brandon Carter, Arvind Satyanarayan

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Maximum n-times Coverage for Vaccine Design.

Ge Liu, Alexander Dimitrakakis, Brandon Carter, David K. Gifford

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Maximum n-times Coverage for COVID-19 Vaccine Design.

Ge Liu, Brandon Carter, David K. Gifford

CoRR, 2021

Machine learning optimization of peptides for presentation by class II MHCs.

Zheng Dai, Brooke D. Huisman, Haoyang Zeng, Brandon Carter, Siddhartha Jain, Michael E. Birnbaum, David K. Gifford

Bioinform., 2021

Overinterpretation reveals image classification model pathologies.

Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy.

Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

Critiquing Protein Family Classification Models Using Sufficient Input Subsets.

Brandon Carter, Maxwell L. Bileschi, Jamie Smith, Theo Sanderson, Drew Bryant, David Belanger, Lucy J. Colwell

J. Comput. Biol., 2020

Antibody complementarity determining region design using high-capacity machine learning.

Ge Liu, Haoyang Zeng, Jonas Mueller, Brandon Carter, Ziheng Wang, Jonas Schilz, Geraldine Horny, Michael E. Birnbaum, Stefan Ewert, David K. Gifford

Bioinform., 2020

2019

What made you do this? Understanding black-box decisions with sufficient input subsets.

Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019