2 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.ML2026
Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification
Courtney Franzen, Farhad Pourkamali-Anaraki
Neural network classifiers trained with cross-entropy loss achieve strong predictive accuracy but lack the capability to provide inherent predictive uncertainty estimates, thus req…
cs.LG2024
Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons
Farhad Pourkamali-Anaraki
Multilayer Perceptrons (MLPs) have long been a cornerstone in deep learning, known for their capacity to model complex relationships. Recently, Kolmogorov-Arnold Networks (KANs) ha…
cs.LG2019★ 2 cited
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki, Michael B. Wakin
The high cost of acquiring labels is one of the main challenges in deploying supervised machine learning algorithms. Active learning is a promising approach to control the learning…