2021

2022

  • S. Hashim, K. Nandakumar, and M. Yaqub, "Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data", Pacific Symposium on Biocomputing, January 2023

  • A. Godbole, K. Nandakumar, and A. K. Jain, "Learning an Ensemble of Deep Fingerprint Representations", arXiv preprint arXiv:2209.024252022

  • A. Godbole, S.A. Grosz, K. Nandakumar, and A.K. Jain, “On Demographic Bias in Fingerprint Recognition”, at International Joint Conference on Biometrics (IJCB), October 2022

  • F. Almalik, M. Yaqub, and K. Nandakumar, “Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification”, at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2022

 

  • N. Alkhunaizi, D. Kamzolov, M. Takáč, and K. Nandakumar, “Suppressing Poisoning Attacks on Federated Learning for Medical Imaging”, at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2022

  • G.K. Kumar, A.S. Gehlot, S.S. Mullappilly, and K. Nandakumar, “MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages”, at 2nd Workshop on Speech and Language Technologies for Dravidian Languages in conjunction with ACL 2022, May 2022

  • S. Hashim, M. Ali, K. Nandakumar, and M. Yaqub, “SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification”, at 10th International Conference on Bioinformatics and Computational Biology (ICBCB), May 2022

2021

  • Karthik Nandakumar, Kanthi Sarpatwar, Nalini Ratha, Sharath Pankanti, Roman Vaculin, Karthikeyan Shanmugam, and James T Rayfield, "FHE-Friendly Distillation of Decision Tree Ensembles for Efficient Encrypted Inference", at Third Privacy Preserving Machine Learning Workshop (PPML 2021), in conjunction with ACM CCS 2021, November 2021

 

  • Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, and Dwarikanath Mahapatra, "Continual Domain Incremental Learning for Chest X-ray Classification in Low-Resource Clinical Settings", at First Workshop on Affordable healthcare and AI for Resource diverse global health (FAIR-21), in conjunction with MICCAI 2021, September 2021.