| Hyperopt: a python library for model selection and hyperparameter optimization J Bergstra, B Komer, C Eliasmith, D Yamins, DD Cox Computational Science & Discovery 8 (1), 014008, 2015 | 921 | 2015 |
| Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn. B Komer, J Bergstra, C Eliasmith Scipy, 32-37, 2014 | 437 | 2014 |
| Setting up a reinforcement learning task with a real-world robot AR Mahmood, D Korenkevych, BJ Komer, J Bergstra 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 94 | 2018 |
| Hyperopt-sklearn B Komer, J Bergstra, C Eliasmith Automated Machine Learning: Methods, Systems, Challenges, 97-111, 2019 | 88 | 2019 |
| A neural representation of continuous space using fractional binding B Komer, TC Stewart, AR Voelker, C Eliasmith Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 65 | 2019 |
| Preliminary evaluation of hyperopt algorithms on HPOLib J Bergstra, B Komer, C Eliasmith, D Warde-Farley ICML workshop on AutoML, 1-7, 2014 | 28 | 2014 |
| Biologically inspired spatial representation B Komer University of Waterloo, 2020 | 21 | 2020 |
| Efficient navigation using a scalable, biologically inspired spatial representation. B Komer, C Eliasmith CogSci, 2020 | 17 | 2020 |
| A unified theoretical approach for biological cognition and learning B Komer, C Eliasmith Current Opinion in Behavioral Sciences 11, 14-20, 2016 | 14 | 2016 |
| Representing spatial relations with fractional binding T Lu, AR Voelker, B Komer, C Eliasmith Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 13 | 2019 |
| Biologically inspired adaptive control of quadcopter flight B Komer University of Waterloo, 2015 | 9 | 2015 |
| A biologically constrained model of semantic memory search I Kajic, J Gosmann, B Komer, RW Orr, TC Stewart, C Eliasmith Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017 | 6 | 2017 |
| BatSLAM: Neuromorphic spatial reasoning in 3D environments B Komer, P Jaworski, S Harbour, C Eliasmith, T DeWolf 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 1-8, 2022 | 5 | 2022 |
| Setting up a reinforcement learning task with a real-world robot A Rupam Mahmood, D Korenkevych, BJ Komer, J Bergstra 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 4 | 2018 |
| A neural model of context dependent decision making in the prefrontal cortex S Sharma, BJ Komer, TC Stewart, C Eliasmith Proceedings of the Annual Meeting of the Cognitive Science Society 38, 2016 | 2 | 2016 |
| Methods and systems for encoding and processing vector-symbolic representations of continuous spaces AR Voelker, CD Eliasmith, B Komer, T Stewart US Patent 12,014,263, 2024 | | 2024 |
| Real-time real-world reinforcement learning systems and methods AR Mahmood, BJ Komer, D Korenkevych US Patent 12,005,578, 2024 | | 2024 |
| Incorporating an adaptive learning rate in a neural model of action selection S Thorgeirsson, B Komer, C Eliasmith | | |
