C. Bayan Bruss
C. Bayan Bruss
Capital One
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Cited by
Cited by
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
Saint: Improved neural networks for tabular data via row attention and contrastive pre-training
G Somepalli, M Goldblum, A Schwarzschild, CB Bruss, T Goldstein
arXiv preprint arXiv:2106.01342, 2021
Culture and getting to yes: The linguistic signature of creative agreements in the United States and Egypt
MJ Gelfand, L Severance, T Lee, CB Bruss, J Lun, AH Abdel‐Latif, ...
Journal of Organizational Behavior 36 (7), 967-989, 2015
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
The cultural contagion of conflict
M Gelfand, G Shteynberg, T Lee, J Lun, S Lyons, C Bell, JY Chiao, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 367 …, 2012
Route planning system and methodology which account for safety factors
PJ Ehsani, CB Bruss, JK Khodadad
US Patent App. 14/205,495, 2015
Systems and methods of detecting email-based attacks through machine learning
CB Bruss, S Fletcher, L Yu, J Kressel
US Patent 10,397,272, 2019
Critical assessment of the foundations of power transmission and distribution reliability metrics and standards
R Nateghi, SD Guikema, Y Wu, CB Bruss
Risk analysis 36 (1), 4-15, 2016
Transfer learning with deep tabular models
R Levin, V Cherepanova, A Schwarzschild, A Bansal, CB Bruss, ...
arXiv preprint arXiv:2206.15306, 2022
GOAT: A global transformer on large-scale graphs
K Kong, J Chen, J Kirchenbauer, R Ni, CB Bruss, T Goldstein
International Conference on Machine Learning, 17375-17390, 2023
Latent-cf: a simple baseline for reverse counterfactual explanations
R Balasubramanian, S Sharpe, B Barr, J Wittenbach, CB Bruss
arXiv preprint arXiv:2012.09301, 2020
Systems and methods of detecting email-based attacks through machine learning
CB Bruss, S Fletcher, L Yu, J Kressel
US Patent 10,805,347, 2020
Neural embeddings of transaction data
C Bruss, K Hines
US Patent 10,789,530, 2020
Based-xai: breaking ablation studies down for explainable artificial intelligence
I Hameed, S Sharpe, D Barcklow, J Au-Yeung, S Verma, J Huang, B Barr, ...
arXiv preprint arXiv:2207.05566, 2022
Counterfactual explanations via latent space projection and interpolation
B Barr, MR Harrington, S Sharpe, CB Bruss
arXiv preprint arXiv:2112.00890, 2021
Towards ground truth explainability on tabular data
B Barr, K Xu, C Silva, E Bertini, R Reilly, CB Bruss, JD Wittenbach
arXiv preprint arXiv:2007.10532, 2020
On the interpretability and evaluation of graph representation learning
A Gogoglou, CB Bruss, KE Hines
arXiv preprint arXiv:1910.03081, 2019
Identifying interpretable subspaces in image representations
N Kalibhat, S Bhardwaj, CB Bruss, H Firooz, M Sanjabi, S Feizi
International Conference on Machine Learning, 15623-15638, 2023
Explaining national trends in terrestrial water storage
CB Bruss, R Nateghi, BF Zaitchik
Frontiers in Environmental Science 7, 85, 2019
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
V Cherepanova, R Levin, G Somepalli, J Geiping, CB Bruss, AG Wilson, ...
Advances in Neural Information Processing Systems 36, 2024
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