Carlton Downey

According to our database, Carlton Downey authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons.

Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp

Trans. Mach. Learn. Res., 2023

2021

Identifying Driver Interactions via Conditional Behavior Prediction.

Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2018

Links: A High-Dimensional Online Clustering Method.

Philip Andrew Mansfield, Quan Wang, Carlton Downey, Li Wan, Ignacio López-Moreno

CoRR, 2018

Learning and Inference in Hilbert Space with Quantum Graphical Models.

Siddarth Srinivasan, Carlton Downey, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Initialization matters: Orthogonal Predictive State Recurrent Neural Networks.

Krzysztof Choromanski, Carlton Downey, Byron Boots

Proceedings of the 6th International Conference on Learning Representations, 2018

Speaker Diarization with LSTM.

Quan Wang, Carlton Downey, Li Wan, Philip Andrew Mansfield, Ignacio López-Moreno

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems.

Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Practical Learning of Predictive State Representations.

Carlton Downey, Ahmed Hefny, Geoffrey J. Gordon

CoRR, 2017

Predictive State Recurrent Neural Networks.

Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

A New View of Predictive State Methods for Dynamical System Learning.

Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

CoRR, 2015

Large-scale randomized-coordinate descent methods with non-separable linear constraints.

Sashank J. Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey, Suvrit Sra

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Supervised Learning for Dynamical System Learning.

Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2012

Parallel linear genetic programming for multi-class classification.

Carlton Downey, Mengjie Zhang, Jing Liu

Genet. Program. Evolvable Mach., 2012

2011

Caching for parallel linear genetic programming.

Carlton Downey, Mengjie Zhang

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Parallel Linear Genetic Programming.

Carlton Downey, Mengjie Zhang

Proceedings of the Genetic Programming - 14th European Conference, 2011

Execution trace caching for Linear Genetic Programming.

Carlton Downey, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda.

Carlton Downey, Scott Sanner

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

New crossover operators in linear genetic programming for multiclass object classification.

Carlton Downey, Mengjie Zhang, Will N. Browne

Proceedings of the Genetic and Evolutionary Computation Conference, 2010