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 (IJCNN, 2010)

Classification of blurred textures using multilayer neural network based on multi-valued neurons. - Igor N. Aizenberg; Jacob Jackson; Shane Alexander (IJCNN, 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 (Image Processing: Algorithms and Systems, 2011)

Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. - Igor N. Aizenberg; Shane Alexander; Jacob Jackson (ISMVL, 2011)

Semi-Supervised Learning by Label Gradient Alignment. - Jacob Jackson; John Schulman (CoRR, 2019)

An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. - Xingyou Song; Yilun Du; Jacob Jackson (CoRR, 2019)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

An Isometric Stochastic Optimizer. - Jacob Jackson (CoRR, 2023)

Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. - Jessica Mehregan; Xiaoyong Yuan; Gaurav Bagwe; Jacob Jackson; Ezedin Mohammed; Lan Zhang 005; Chunxiu Yu (MobileCloud, 2024)