Kyle Goyette

According to our database, Kyle Goyette authored at least 4 papers between 2018 and 2020.

Collaborative distances:

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

2020

Untangling tradeoffs between recurrence and self-attention in neural networks.

Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie

CoRR, 2020

Untangling tradeoffs between recurrence and self-attention in artificial neural networks.

Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics.

Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting.

Sai Krishna G. V., Kyle Goyette, Ahmad Chamseddine, Breandan Considine

CoRR, 2018