Binding sparse spatiotemporal patterns in spiking computation. - Steven K. Esser; Anthony Ndirango; Dharmendra S. Modha (IJCNN, 2010)

Cognitive computing. - Dharmendra S. Modha; Rajagopal Ananthanarayanan; Steven K. Esser; Anthony Ndirango; Anthony J. Sherbondy; Raghavendra Singh (Commun. ACM, 2011)

Generalization in multitask deep neural classifiers: a statistical physics approach. - Anthony Ndirango; Tyler Lee (NeurIPS, 2019)

A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks. - Ting Gong; Tyler Lee; Cory Stephenson; Venkata Renduchintala; Suchismita Padhy; Anthony Ndirango; Gokce Keskin; Oguz H. Elibol (IEEE Access, 2019)

Label-efficient audio classification through multitask learning and self-supervision. - Tyler Lee; Ting Gong; Suchismita Padhy; Andrew Rouditchenko; Anthony Ndirango (CoRR, 2019)

Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. - Landan Seguin; Anthony Ndirango; Neeli Mishra; SueYeon Chung; Tyler Lee (CoRR, 2021)

Toward Conversational Agents with Context and Time Sensitive Long-term Memory. - Nick Alonso; Tomas Figliolia; Anthony Ndirango; Beren Millidge (CoRR, 2024)