Carlton Downey

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 16

Top Topics

Predictive State Representations

Undirected Graphical Models

Speaker Diarization

Recurrent Neural Networks

Top Venues

Publications

Serge Assaad, Carlton Downey, Rami Al-Rfou', Nigamaa Nayakanti, Benjamin Sapp
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. Trans. Mach. Learn. Res. 2023 (2023)
Serge Assaad, Carlton Downey, Rami Al-Rfou, Nigamaa Nayakanti, Ben Sapp
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons. CoRR (2022)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA (2021)
Quan Wang, Carlton Downey, Li Wan, Philip Andrew Mansfield, Ignacio Lopez-Moreno
Speaker Diarization with LSTM. ICASSP (2018)
Philip Andrew Mansfield, Quan Wang, Carlton Downey, Li Wan, Ignacio Lopez-Moreno
Links: A High-Dimensional Online Clustering Method. CoRR (2018)
Siddarth Srinivasan, Carlton Downey, Byron Boots
Learning and Inference in Hilbert Space with Quantum Graphical Models. CoRR (2018)
Krzysztof Choromanski, Carlton Downey, Byron Boots
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks. ICLR (Poster) (2018)
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. AAAI (2018)
Siddarth Srinivasan, Carlton Downey, Byron Boots
Learning and Inference in Hilbert Space with Quantum Graphical Models. NeurIPS (2018)
Carlton Downey, Ahmed Hefny, Geoffrey J. Gordon
Practical Learning of Predictive State Representations. CoRR (2017)
Quan Wang, Carlton Downey, Li Wan, Philip Andrew Mansfield, Ignacio Lopez-Moreno
Speaker Diarization with LSTM. CoRR (2017)
Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li
Predictive State Recurrent Neural Networks. NIPS (2017)
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
Supervised Learning for Dynamical System Learning. NIPS (2015)
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
A New View of Predictive State Methods for Dynamical System Learning. CoRR (2015)
Sashank J. Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey, Suvrit Sra
Large-scale randomized-coordinate descent methods with non-separable linear constraints. UAI (2015)
Carlton Downey, Mengjie Zhang, Jing Liu
Parallel linear genetic programming for multi-class classification. Genet. Program. Evolvable Mach. 13 (3) (2012)
Carlton Downey, Mengjie Zhang
Caching for parallel linear genetic programming. GECCO (Companion) (2011)
Carlton Downey, Mengjie Zhang
Execution trace caching for Linear Genetic Programming. IEEE Congress on Evolutionary Computation (2011)
Carlton Downey, Mengjie Zhang
Parallel Linear Genetic Programming. EuroGP (2011)
Carlton Downey, Mengjie Zhang, Will N. Browne
New crossover operators in linear genetic programming for multiclass object classification. GECCO (2010)
Carlton Downey, Scott Sanner
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda. ICML (2010)