Carlton Downey - PhD Student (original) (raw)

Carlton Downey
Unified Models for Dynamical Systems
PhD Thesis

Carlton Downey*, Krzysztof Choromanski*, Byron Boots
Initialization Matters: Orthogonal Predictive State Recurrent Neural Networks
International Conference on Learning representations (ICLR). 2018.

Quan Wang, Carlton Downey, Li Wan, Philip Andrew Mansfield, Ignacio Lopez Moreno
Speaker Diarization with LSTM
International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2018.

Ahmed Hefny, Carlton Downey, Geoff Gordon
An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems
Association for the Advancement of Artificial Intelligence (AAAI). 2018.

Carlton Downey, Ahmed Hefny, Geoff Gordon
Predictive State Recurrent Neural Networks
Advances in Neural Information Processing Systems (NIPS). 2017.

Carlton Downey, Ahmed Hefny, Geoff Gordon
Practical Learning of Predictive State Representations
arXiv. 2017.

Ahmed Hefny, Carlton Downey, Geoff Gordon
Supervised Learning for Dynamical System Learning
Advances in Neural Information Processing Systems (NIPS). 2015.

Sashank Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey, Suvrit Sra
Large-scale randomized-coordinate descent methods with non-separable linear constraints
Association for Uncertainty in Artificial Intelligence (UAI). 2015.

Carlton Downey, Mengjie Zhang
Caching for Parallel Linear Genetic Programming
Proceeding of Genetic and Evolutionary Computation Conference. GECCO (Companion) 2011, ACM Press. pp. 201-202.

Carlton Downey, Mengjie Zhang
Execution Trace Caching for Linear Genetic Programming
Proceeding of the 2011 IEEE Congress on Evolutionary Computation. IEEE Press. New Orleans, USA. June 5-8, 2011. pp. 1191-1198.

Carlton Downey, Mengjie Zhang
Parallel Linear Genetic Programming
Proceedings of the 14th European Conference on Genetic Programming. Lecture Notes in Computer Science. Vol. 6621. Springer. Torino, Italy 2011. pp. 178-189.
(Nominated for the Best Paper Award)

Carlton Downey, Scott Sanner
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
In Proceedings of the 27th International Conference on Machine Learning (ICML-10); Haifa, Israel

Carlton Downey, Mengjie Zhang, Will Browne
New Crossover Operators in Linear Genetic Programming for Multiclass Object Classification
Proceedings of 2010 Genetic and Evolutionary Computation Conference. Portland, USA. 2010. ACM.

Carlton Downey, Mengjie Zhang
Multiclass Object Classification for Computer Vision using Linear Genetic Programming
Proceeding of the 24th International Conference on Image and Vision Computing New Zealand. Wellington, 2009. IEEE Press. pp. 73-78.