Anthony Ndirango
Intel (United States)(US)University of California, Berkeley(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Statistical Mechanics and Entropy, Black Holes and Theoretical Physics, Neural Networks and Applications, Advanced Memory and Neural Computing
Most-Cited Works
- → Cognitive computing(2011)321 cited
- → A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks(2019)137 cited
- → Aspects of Puff Field Theory(2007)18 cited
- → Generalization in multitask deep neural classifiers: a statistical physics approach(2019)9 cited
- → Binding sparse spatiotemporal patterns in spiking computation(2010)8 cited
- → Label-efficient audio classification through multitask learning and self-supervision(2019)3 cited
- → Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks(2021)1 cited
- Illuminating Dark Knowledge via Random Matrix Ensembles(2021)
- Geometric twists and turns in physics: A smorgasbord(2006)