| Single-amino acid variants reveal evolutionary processes that shape the biogeography of a global SAR11 subclade TO Delmont, E Kiefl, O Kilinc, OC Esen, I Uysal, MS Rappe, S Giovannoni, ... Elife 8, e46497, 2019 | 100 | 2019 |
| Multi-agent deep reinforcement learning with extremely noisy observations O Kilinc, G Montana Deep RL Workshop, NeurIPS, 2018, 2018 | 40 | 2018 |
| Learning latent representations in neural networks for clustering through pseudo supervision and graph-based activity regularization O Kilinc, I Uysal International Conference on Learning Representations (ICLR), 2018 | 39 | 2018 |
| GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning O Kilinc, I Uysal Neurocomputing 296, 46-54, 2018 | 32 | 2018 |
| Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations O Kilinc, G Montana Machine Learning, 2021 | 31 | 2021 |
| Auto-clustering output layer: Automatic learning of latent annotations in neural networks O Kilinc, I Uysal arXiv preprint arXiv:1702.08648, 2017 | 11 | 2017 |
| Inertia based recognition of daily activities with ANNs and spectrotemporal features O Kilinc, A Dalzell, I Uluturk, I Uysal 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 11 | 2015 |
| Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals O Kilinc, G Montana Deep RL Workshop, NeurIPS, 2021, 2021 | 5 | 2021 |
| Source-aware partitioning for robust cross-validation O Kilinc, I Uysal 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 5 | 2015 |
| SAR11 Amino Acid Variants are Governed by Natural Selection AM Eren, TO Delmont, E Kiefl, O Kilinc, I Uysal, MS Rappe, SJ Giovannoni 2018 Ocean Sciences Meeting, 2018 | | 2018 |
| Clustering-based Source-aware Assessment of True Robustness for Learning Models O Kilinc, I Uysal arXiv preprint arXiv:1704.00158, 2017 | | 2017 |
Michael RappeUniversity of HawaiiVerified email at hawaii.edu
