Nikhil Madaan

According to our database, Nikhil Madaan authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learner: Contrastive Pretraining for Learning Fine-Grained Patient Progression From Coarse Inter-Patient Labels.

Jana Armouti, Nikhil Madaan, Rohan Panda, Tom Fox, Laura Hutchins, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Ramanan, John M. Galeotti, Gautam Rajendrakumar Gare

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination.

Jianing Yang, Xuweiyi Chen, Nikhil Madaan, Madhavan Iyengar, Shengyi Qian, David F. Fouhey, Joyce Chai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

LEARNER: Learning Granular Labels from Coarse Labels using Contrastive Learning.

Gautam Rajendrakumar Gare, Jana Armouti, Nikhil Madaan, Rohan Panda, Tom Fox, Laura Hutchins, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Ramanan, John M. Galeotti

CoRR, 2024

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent.

Jianing Yang, Xuweiyi Chen, Shengyi Qian, Nikhil Madaan, Madhavan Iyengar, David F. Fouhey, Joyce Chai

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

pFedDef: Characterizing evasion attack transferability in federated learning.

Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

Softw. Impacts, March, 2023

Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning.

Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

CoRR, 2023

Characterizing Internal Evasion Attacks in Federated Learning.

Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning.

Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

CoRR, 2022

Investigating the Important Temporal Modulations for Deep-Learning-Based Speech Activity Detection.

Tyler Vuong, Nikhil Madaan, Rohan Panda, Richard M. Stern

Proceedings of the IEEE Spoken Language Technology Workshop, 2022