Osonde Osoba

According to our database, Osonde Osoba authored at least 20 papers between 2009 and 2021.

Collaborative distances:

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

2021

A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games.

Shiva Navabi, Osonde A. Osoba

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Noise can speed backpropagation learning and deep bidirectional pretraining.

Bart Kosko, Kartik Audhkhasi, Osonde Osoba

Neural Networks, 2020

Deep Generative Modeling in Network Science with Applications to Public Policy Research.

Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba

CoRR, 2020

Policy-focused Agent-based Modeling using RL Behavioral Models.

Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks

CoRR, 2020

Modeling Agent Behaviors for Policy Analysis via Reinforcement Learning.

Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Steps Towards Value-Aligned Systems.

Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Technocultural Pluralism: A "Clash of Civilizations" in Technology?

Osonde A. Osoba

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps.

Osonde Osoba, Bart Kosko

CoRR, 2019

2018

Noisy Expectation-Maximization: Applications and Generalizations.

Osonde Osoba, Bart Kosko

CoRR, 2018

2016

Noise-enhanced convolutional neural networks.

Kartik Audhkhasi, Osonde Osoba, Bart Kosko

Neural Networks, 2016

2014

Noise Benefits in Expectation-Maximization Algorithms.

Osonde Adekorede Osoba

CoRR, 2014

2013

Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140].

Osonde Osoba, Bart Kosko

Neural Networks, 2013

Noise-enhanced clustering and competitive learning algorithms.

Osonde Osoba, Bart Kosko

Neural Networks, 2013

Noisy hidden Markov models for speech recognition.

Kartik Audhkhasi, Osonde Osoba, Bart Kosko

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Noise benefits in backpropagation and deep bidirectional pre-training.

Kartik Audhkhasi, Osonde Osoba, Bart Kosko

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Triply fuzzy function approximation for hierarchical Bayesian inference.

Osonde Osoba, Sanya Mitaim, Bart Kosko

Fuzzy Optim. Decis. Mak., 2012

2011

Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods.

Osonde Osoba, Sanya Mitaim, Bart Kosko

IEEE Trans. Syst. Man Cybern. Part B, 2011

Noise benefits in the expectation-maximization algorithm: Nem theorems and models.

Osonde Osoba, Sanya Mitaim, Bart Kosko

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

Triply fuzzy function approximation for Bayesian inference.

Osonde Osoba, Sanya Mitaim, Bart Kosko

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

2009

Adaptive fuzzy priors for Bayesian inference.

Osonde Osoba, Sanya Mitaim, Bart Kosko

Proceedings of the International Joint Conference on Neural Networks, 2009