Shashank Subramanian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Medical Image Segmentation

Weather Forecasting

Domain Adaptation

Top Venues

IEEE Trans. Medical Imaging

BrainLes@MICCAI (2)

BrainLes@MICCAI (1)

Publications

Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins
Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction. CoRR (2024)
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. CoRR (2024)
Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR (2023)
Shashank Subramanian, Ali Ghafouri, Klaudius Matthias Scheufele, Naveen Himthani, Christos Davatzikos, George Biros
Ensemble Inversion for Brain Tumor Growth Models With Mass Effect. IEEE Trans. Medical Imaging 42 (4) (2023)
Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown
Towards Stability of Autoregressive Neural Operators. CoRR (2023)
Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael Mahoney, Amir Gholami
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. CoRR (2023)
Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. NeurIPS (2023)
Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown
Towards Stability of Autoregressive Neural Operators. Trans. Mach. Learn. Res. 2023 (2023)
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. PASC (2023)
Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami
Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. ECAI (2023)
James Duncan, Shashank Subramanian, Peter Harrington
Generative Modeling of High-resolution Global Precipitation Forecasts. CoRR (2022)
Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks. CoRR (2022)
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. CoRR (2022)
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR (2022)
Klaudius Scheufele, Shashank Subramanian, George Biros
Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Trans. Medical Imaging 40 (1) (2021)
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, Christos Davatzikos, George Biros
Ensemble inversion for brain tumor growth models with mass effect. CoRR (2021)
Guillermo Lorenzo, David A. Hormuth II, Angela M. Jarrett, Ernesto A. B. F. Lima, Shashank Subramanian, George Biros, J. Tinsley Oden, Thomas J. R. Hughes, Thomas E. Yankeelov
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. CoRR (2021)
Klaudius Scheufele, Shashank Subramanian, Andreas Mang, George Biros, Miriam Mehl
Image-Driven Biophysical Tumor Growth Model Calibration. SIAM J. Sci. Comput. 42 (3) (2020)
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, George Biros
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. CoRR (2020)
Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. BrainLes@MICCAI (1) (2020)
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, George Biros
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. MICCAI (2) (2020)
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
A Novel Domain Adaptation Framework for Medical Image Segmentation. CoRR (2018)
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
A Novel Domain Adaptation Framework for Medical Image Segmentation. BrainLes@MICCAI (2) (2018)