Pavlo Mozharovskyi

Study of Training Dynamics for Memory-Constrained Fine-Tuning

ClusCAM: Clustered Visual Explanations for Vision Models in Image Classification

OptSHAP: Explaining Dimensionality Reduction-based Models for Tabular Data via Optimization

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Tailoring Mixup to Data for Calibration

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models

Conceptualize Any Network: A Concept Extraction Framework for Holistic Interpretability of Image Classifiers