Using noise to speed up video classification with recurrent backpropagation. - Olaoluwa Adigun; Bart Kosko (IJCNN, 2017)

Training Generative Adversarial Networks with Bidirectional Backpropagation. - Olaoluwa Adigun; Bart Kosko (ICMLA, 2018)

Noise-boosted bidirectional backpropagation and adversarial learning. - Olaoluwa Adigun; Bart Kosko (Neural Networks, 2019)

Optimizing Black-box Metrics with Adaptive Surrogates. - Qijia Jiang; Olaoluwa Adigun; Harikrishna Narasimhan; Mahdi Milani Fard; Maya R. Gupta (ICML, 2020)

High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding. - Olaoluwa Adigun; Bart Kosko (IJCNN, 2020)

Bidirectional Backpropagation. - Olaoluwa Adigun; Bart Kosko (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Bidirectional Backpropagation for High-Capacity Blocking Networks. - Olaoluwa Adigun; Bart Kosko (ICMLA, 2021)

Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons. - Olaoluwa Adigun; Bart Kosko (ICMLA, 2021)

Bayesian Bidirectional Backpropagation Learning. - Olaoluwa Adigun; Bart Kosko (IJCNN, 2021)

Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons. - Olaoluwa Adigun; Bart Kosko (ICMLA, 2022)

Location Aware Super-Resolution for Satellite Data Fusion. - Olaoluwa Adigun; Peder A. Olsen; Ranveer Chandra (IGARSS, 2022)

Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising. - Olaoluwa Adigun; Bart Kosko (ICMLA, 2023)

Hidden Priors for Bayesian Bidirectional Backpropagation. - Olaoluwa Adigun; Bart Kosko (SMC, 2023)

Noise-boosted recurrent backpropagation. - Olaoluwa Adigun; Bart Kosko (Neurocomputing, 2023)

Training Deep Neural Classifiers with Soft Diamond Regularizers. - Olaoluwa Adigun; Bart Kosko (ICMLA, 2024)

Bidirectional Variational Autoencoders. - Bart Kosko; Olaoluwa Adigun (IJCNN, 2024)