3 papers
cs.LG2025
Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective
Pankaj Yadav, Vivek Vijay
Kolmogorov Arnold Networks (KANs) are recent architectural advancement in neural computation that offer a mathematically grounded alternative to standard neural networks. This stud…
cs.AI2025
Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance
Pankaj Yadav, Gulshan Sihag, Vivek Vijay
Machine learning algorithms are used in diverse domains, many of which face significant challenges due to data imbalance. Studies have explored various approaches to address the is…
cs.LG2025
Certified Interpolation Oversampling: Per-Instance Safety Guarantees for Imbalanced Learning
Pankaj Yadav, Vivek Vijay, Gulshan Sihag
Synthetic minority oversampling is typically designed and evaluated against a predictive objective, generating samples that improve downstream classification. This paper pursues a…