3 papers
cs.LG2026
FILLER: Feature Imputation via Latent Location Exploration and Retrieval
Santu Mondal, Chayan Maitra, Rajat K. De
In real-world machine learning applications, incomplete observations create a fundamental challenge. Researchers have come up with several ideas to address this crucial problem. Ho…
cs.CV2025
CMET: Clustering guided METric for quantifying embedding quality
Sourav Ghosh, Chayan Maitra, Rajat K. De
Due to rapid advancements in technology, datasets are available from various domains. In order to carry out more relevant and appropriate analysis, it is often necessary to project…
cs.LG2024
G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation
Chayan Maitra, Rajat K. De
Visualizing high-dimensional datasets through a generalized embedding has been a challenge for a long time. Several methods have shown up for the same, but still, they have not bee…