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Bojan Tunguz
Bojan Tunguz
Data Scientist, NVIDIA
Verified email at nvidia.com
Title
Cited by
Cited by
Year
Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics
K Leppek, GW Byeon, W Kladwang, HK Wayment-Steele, CH Kerr, AF Xu, ...
Nature communications 13 (1), 1536, 2022
1322022
Analysis of the human protein atlas image classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ...
Nature methods 16 (12), 1254-1261, 2019
1122019
GPU accelerated feature engineering and training for recommender systems
B Schifferer, G Titericz, C Deotte, C Henkel, K Onodera, J Liu, B Tunguz, ...
Proceedings of the Recommender Systems Challenge 2020, 16-23, 2020
352020
Systems and methods for providing machine learning model explainability information
DC Merrill, ME Ruberry, O Sayin, B Tunguz, L Song, E Alizadeh, ...
US Patent App. 15/970,626, 2018
302018
Systems and methods for providing machine learning model disparate impact information
DC Merrill, ME Ruberry, O Sayin, B Tunguz, L Song, E Alizadeh, ...
US Patent App. 16/052,293, 2019
282019
Deep learning models for predicting RNA degradation via dual crowdsourcing
HK Wayment-Steele, W Kladwang, AM Watkins, DS Kim, B Tunguz, ...
Nature Machine Intelligence 4 (12), 1174-1184, 2022
182022
Systems and methods for providing machine learning model evaluation by using decomposition
DC Merrill, ME Ruberry, O Sayin, B Tunguz, L Song, E Alizadeh, ...
US Patent 11,960,981, 2024
162024
GPU accelerated exhaustive search for optimal ensemble of black-box optimization algorithms
J Liu, B Tunguz, G Titericz
arXiv preprint arXiv:2012.04201, 2020
102020
Eterna Participants and R
HK Wayment-Steele, W Kladwang, AM Watkins, DS Kim, B Tunguz, ...
Das, Nat. Mach. Intell 4, 1174-1184, 2022
62022
Six levels of auto ML
B Tunguz
42020
Systems and methods for providing machine learning model explainability information
DC Merrill, ME Ruberry, O Sayin, B Tunguz, L Song, E Alizadeh, ...
US Patent App. 17/812,093, 2022
12022
Predictive models of RNA degradation through dual crowdsourcing
HK Wayment-Steele, W Kladwang, AM Watkins, DS Kim, B Tunguz, ...
12021
Author correction: analysis of the human protein atlas image classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ...
Nature Methods 17 (9), 948, 2020
12020
Systems and methods for providing machine learning model disparate impact information
DC Merrill, ME Ruberry, O Sayin, B Tunguz, L Song, E Alizadeh, ...
US Patent App. 18/533,709, 2024
2024
Explainable machine learning financial credit approval model for protected classes of borrowers
DC Merrill, ME Ruberry, O Sayin, B Tunguz, L Song, E Alizadeh, ...
US Patent 11,941,650, 2024
2024
Deep learning models for predicting RNA degradation via dual crowdsourcing (preprint)
HK Wayment-Steele, W Kladwang, AM Watkins, B Tunguz, W Reade, ...
2021
Analysis of the Human Protein Atlas Image Classification competition (vol 53, pg 961, 2019)
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Akesson, H Xu, ...
NATURE METHODS 17 (9), 948-948, 2020
2020
Analysis of the Human Protein Atlas Image Classification competition (vol 16, pg 1254, 2019)
W Ouyang, CF Winsnes, M Hjelmare, L Åkesson, H Xu, DP Sullivan, ...
Nature Methods 17 (1), 115-115, 2020
2020
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competition
W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ...
Nature methods 17 (1), 115-115, 2020
2020
Analysis of the Human Protein Atlas Image Classification competition (vol 54, pg 2112, 2019)
W Ouyang, CF Winsnes, M Hjelmare, L Åkesson, H Xu, DP Sullivan, ...
Nature Methods 17 (2), 241-241, 2020
2020
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