| Speaker diarization with LSTM Q Wang, C Downey, L Wan, PA Mansfield, IL Moreno 2018 IEEE International conference on acoustics, speech and signal …, 2018 | 442 | 2018 |
| Identifying driver interactions via conditional behavior prediction E Tolstaya, R Mahjourian, C Downey, B Vadarajan, B Sapp, D Anguelov 2021 IEEE International Conference on Robotics and Automation (ICRA), 3473-3479, 2021 | 85 | 2021 |
| Supervised learning for dynamical system learning A Hefny, C Downey, GJ Gordon Advances in neural information processing systems 28, 2015 | 78 | 2015 |
| Predictive state recurrent neural networks C Downey, A Hefny, B Boots, GJ Gordon, B Li Advances in Neural Information Processing Systems 30, 2017 | 60 | 2017 |
| Temporal difference Bayesian model averaging: A Bayesian perspective on adapting lambda C Downey, S Sanner Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 36 | 2010 |
| Learning and inference in hilbert space with quantum graphical models S Srinivasan, C Downey, B Boots Advances in Neural Information Processing Systems 31, 2018 | 29 | 2018 |
| Links: A high-dimensional online clustering method PA Mansfield, Q Wang, C Downey, L Wan, IL Moreno arXiv preprint arXiv:1801.10123, 2018 | 28 | 2018 |
| Initialization matters: Orthogonal predictive state recurrent neural networks K Choromanski, C Downey, B Boots International Conference on Learning Representations, 2018 | 25 | 2018 |
| Large-scale randomized-coordinate descent methods with non-separable linear constraints S Reddi, A Hefny, C Downey, A Dubey, S Sra arXiv preprint arXiv:1409.2617, 2014 | 25 | 2014 |
| New crossover operators in linear genetic programming for multiclass object classification C Downey, M Zhang, WN Browne Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 19 | 2010 |
| Vn-transformer: Rotation-equivariant attention for vector neurons S Assaad, C Downey, R Al-Rfou, N Nayakanti, B Sapp arXiv preprint arXiv:2206.04176, 2022 | 18 | 2022 |
| Parallel linear genetic programming for multi-class classification C Downey, M Zhang, J Liu Genetic Programming and Evolvable Machines 13, 275-304, 2012 | 16 | 2012 |
| Practical learning of predictive state representations C Downey, A Hefny, G Gordon arXiv preprint arXiv:1702.04121, 2017 | 14 | 2017 |
| Emergent communication fine-tuning (EC-FT) for pretrained language models S Steinert-Threlkeld, X Zhou, Z Liu, CM Downey Emergent Communication Workshop at ICLR 2022, 2022 | 13 | 2022 |
| Parallel linear genetic programming C Downey, M Zhang Genetic Programming: 14th European Conference, EuroGP 2011, Torino, Italy …, 2011 | 13 | 2011 |
| An efficient, expressive and local minima-free method for learning controlled dynamical systems A Hefny, C Downey, G Gordon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 8 | 2018 |
| Multiclass object classification for computer vision using linear genetic programming C Downey, M Zhang 2009 24th International Conference Image and Vision Computing New Zealand, 73-78, 2009 | 6 | 2009 |
| Advances in Neural Information Processing Systems 31 S Srinivasan, C Downey, B Boots, S Bengio Curran Associates, 2018 | 4 | 2018 |
| Explorations in Parallel Linear Genetic Programming C Downey Open Access Te Herenga Waka-Victoria University of Wellington, 2011 | 4 | 2011 |
| Predictive state models for prediction and control in partially observable environments A Hefny, C Downey, Z Marinho, W Sun, S Srinivasa, GJ Gordon Conference on Robot Learning (CoRL) 152, 2017 | 3 | 2017 |
Ahmed HefnyApplied Research Scientist, CruiseVerified email at getcruise.com
