Jacob Jackson

According to our database, Jacob Jackson authored at least 8 papers between 2010 and 2023.

Collaborative distances:

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

2023

An Isometric Stochastic Optimizer.

Jacob Jackson

CoRR, 2023

2020

Scaling Laws for Autoregressive Generative Modeling.

Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish

CoRR, 2020

2019

An Empirical Study on Hyperparameters and their Interdependence for RL Generalization.

Xingyou Song, Yilun Du, Jacob Jackson

CoRR, 2019

Semi-Supervised Learning by Label Gradient Alignment.

Jacob Jackson, John Schulman

CoRR, 2019

2011

Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons.

Igor N. Aizenberg, Shane Alexander, Jacob Jackson

Proceedings of the 41st IEEE International Symposium on Multiple-Valued Logic, 2011

Intelligent edge enhancement using multilayer neural network based on multi-valued neurons.

Igor N. Aizenberg, Shane Alexander, Jacob Jackson, Thomas Neal, Jeffrey Wilson, Kristi Kendrick

Proceedings of the Image Processing: Algorithms and Systems IX, 2011

Classification of blurred textures using multilayer neural network based on multi-valued neurons.

Igor N. Aizenberg, Jacob Jackson, Shane Alexander

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function.

Igor N. Aizenberg, Matthew Caudill, Jacob Jackson, Shane Alexander

Proceedings of the International Joint Conference on Neural Networks, 2010