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2020 – today
- 2024
[c5]Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu:
Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. MobileCloud 2024: 38-45- 2023
- [i4]Jacob Jackson:
An Isometric Stochastic Optimizer. CoRR abs/2307.12979 (2023) - 2020
- [i3]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:
Scaling Laws for Autoregressive Generative Modeling. CoRR abs/2010.14701 (2020)
2010 – 2019
- 2019
- [i2]Jacob Jackson, John Schulman:
Semi-Supervised Learning by Label Gradient Alignment. CoRR abs/1902.02336 (2019) - [i1]Xingyou Song, Yilun Du, Jacob Jackson:
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. CoRR abs/1906.00431 (2019) - 2011
- [c4]Igor N. Aizenberg, Jacob Jackson, Shane Alexander:
Classification of blurred textures using multilayer neural network based on multi-valued neurons. IJCNN 2011: 1328-1335 - [c3]Igor N. Aizenberg, Shane Alexander, Jacob Jackson, Thomas Neal, Jeffrey Wilson, Kristi Kendrick:
Intelligent edge enhancement using multilayer neural network based on multi-valued neurons. Image Processing: Algorithms and Systems 2011: 787004 - [c2]Igor N. Aizenberg, Shane Alexander, Jacob Jackson:
Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. ISMVL 2011: 282-287 - 2010
- [c1]Igor N. Aizenberg, Matthew Caudill, Jacob Jackson, Shane Alexander:
Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function. IJCNN 2010: 1-8
Coauthor Index
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