Chinmay Savadikar

According to our database, Chinmay Savadikar authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

WeGeFT: Weight‑Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models.

Chinmay Savadikar, Xi Song, Tianfu Wu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian.

Thomas Paniagua, Chinmay Savadikar, Tianfu Wu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

GIFT: Generative Interpretable Fine-Tuning Transformers.

Chinmay Savadikar, Xi Song, Tianfu Wu

CoRR, 2023

Learning to Grow Artificial Hippocampi in Vision Transformers for Resilient Lifelong Learning.

Chinmay Savadikar, Michelle Dai, Tianfu Wu

CoRR, 2023

2020

Towards Designing Accurate FISH Probe Detection using 3D U-Nets on Microscopic Blood Cell Images.

Chinmay Savadikar, Shahram Tahvilian, Lara Baden, Rebecca Reed, Daniel Leventon, Paul Pagano, Bhushan Garware

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Brain Tumour Segmentation Using Probabilistic U-Net.

Chinmay Savadikar, Rahul Kulhalli, Bhushan Garware

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

A Hierarchical Approach to Skin Lesion Classification.

Rahul Kulhalli, Chinmay Savadikar, Bhushan Garware

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019