Brandon G. Jacques

According to our database, Brandon G. Jacques authored at least 5 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Representing Latent Dimensions Using Compressed Number Lines.

Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A deep convolutional neural network that is invariant to time rescaling.

Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg

Proceedings of the International Conference on Machine Learning, 2022

2021

SITHCon: A neural network robust to variations in input scaling on the time dimension.

Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg

CoRR, 2021

DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales.

Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world.

Tyler A. Spears, Brandon G. Jacques, Marc W. Howard, Per B. Sederberg

CoRR, 2017