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Nicholas Dronen
Nicholas Dronen
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Verified email at colorado.edu
Title
Cited by
Cited by
Year
Effective sampling for large-scale automated writing evaluation systems
N Dronen, PW Foltz, K Habermehl
Proceedings of the second (2015) ACM conference on learning@ scale, 3-10, 2015
192015
Method, apparatus, and system for in-vehicle data selection for feature detection model creation and maintenance
N Dronen, S O'hara, V Shestak
US Patent 11,263,549, 2022
172022
Resource allocation in distributed processing systems
NA Dronen, PW Foltz, H Garner, MT Loring, V Kapoor
US Patent 10,148,589, 2018
122018
Machine learning a feature detector using synthetic training data
B Keserich, S O'hara, N Dronen
US Patent 10,839,262, 2020
112020
Resource allocation in distributed processing systems
NA Dronen, PW Foltz, H Garner, MT Loring, V Kapoor
US Patent 10,153,984, 2018
82018
Method, apparatus, and system for dynamic adaptation of an in-vehicle feature detector
V Shestak, S O'hara, N Dronen
US Patent 10,733,484, 2020
62020
Resource allocation in distributed processing systems
NA Dronen, PW Foltz, H Garner, MT Loring, V Kapoor
US Patent 10,560,397, 2020
62020
Automated feedback in a large-scale implementation of a formative writing system: Implications for improving student writing
PW Foltz, M Rosenstein, N Dronen, S Dooley
annual meeting of the American Educational Research Association …, 2014
62014
Adaptive block floating-point for analog deep learning hardware
A Basumallik, D Bunandar, N Dronen, N Harris, L Levkova, C McCarter, ...
arXiv preprint arXiv:2205.06287, 2022
52022
Automatic feature extraction from imagery
J Van Sickle, N Dronen
US Patent 11,657,072, 2023
32023
Look-ups are not (yet) all you need for deep learning inference
C McCarter, N Dronen
arXiv preprint arXiv:2207.05808, 2022
32022
Resource allocation in distributed processing systems
NA Dronen, PW Foltz, H Garner, MT Loring, V Kapoor
US Patent 10,938,738, 2021
32021
Correcting writing errors with convolutional neural networks
NA Dronen
University of Colorado at Boulder, 2016
22016
Return probability and k-step measures
N Dronen, Q Lv
arXiv preprint arXiv:1105.4479, 2011
22011
The accuracy of low-bitwidth neural networks by regularizing the higher-order moments of weights and hidden states
N Dronen, TJ Kenney, T Lazovich, A Basumallik, D Bunandar
US Patent App. 17/672,627, 2022
12022
Machine learning model training using an analog processor
D Bunandar, L Levkova, N Dronen, L Nair, D Widemann, D Walter, ...
US Patent App. 17/537,156, 2022
12022
Parking Lot Instance Segmentation from Satellite Imagery through Associative Embeddings
T Berry, N Dronen, B Jackson, I Endres
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
12019
Methods, apparatuses, and computer program products using a repeated convolution-based attention module for improved neural network implementations
AS Gill, N Dronen, S Roy, R Balu
US Patent 11,651,191, 2023
2023
Techniques for adapting neural networks to devices
N Dronen, T Lazovich, A Basumallik, D Bunandar
US Patent App. 17/390,764, 2022
2022
Road network change detection and local propagation of detected change
A Adare, N Dronen
US Patent 11,096,026, 2021
2021
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