3 papers
cs.CV2026
Learning to Segment using Summary Statistics and Weak Supervision
Omkar Kulkarni, Edward Raff, Tim Oates
Medical experts often manually segment images to obtain diagnostic statistics and discard the resulting annotations. We aim to train segmentation models to alleviate this burden, b…
cs.LG2025
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
Omkar Kulkarni, Rohitash Chandra
Financial fraud detection is critical for maintaining the integrity of financial systems, particularly in decentralised environments such as cryptocurrency networks. Although Graph…
cs.LG2024
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
Omkar Kulkarni, Rohitash Chandra
Medical time series datasets feature missing values that need data imputation methods, however, conventional machine learning models fall short due to a lack of uncertainty quantif…