Shashank Subramanian

According to our database, Shashank Subramanian authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Comprehensive Performance Modeling and System Design Insights for Foundation Models.

Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji

CoRR, 2024

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators.

Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

CoRR, 2024

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators.

Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

CoRR, 2024

Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction.

Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins

CoRR, 2024

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning.

Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

CoRR, 2024

2023

Ensemble Inversion for Brain Tumor Growth Models With Mass Effect.

Shashank Subramanian, Ali Ghafouri, Klaudius Matthias Scheufele, Naveen Himthani, Christos Davatzikos, George Biros

IEEE Trans. Medical Imaging, April, 2023

Towards Stability of Autoregressive Neural Operators.

Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown

Trans. Mach. Learn. Res., 2023

SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning.

Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney

CoRR, 2023

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.

Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior.

Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks.

Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Generative Modeling of High-resolution Global Precipitation Forecasts.

James Duncan, Shashank Subramanian, Peter Harrington

CoRR, 2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

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

CoRR, 2022

2021

Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan.

Klaudius Scheufele, Shashank Subramanian, George Biros

IEEE Trans. Medical Imaging, 2021

Ensemble inversion for brain tumor growth models with mass effect.

Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, Christos Davatzikos, George Biros

CoRR, 2021

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization.

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

CoRR, 2021

2020

Image-Driven Biophysical Tumor Growth Model Calibration.

Klaudius Scheufele, Shashank Subramanian, Andreas Mang, George Biros, Miriam Mehl

SIAM J. Sci. Comput., 2020

Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect.

Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, George Biros

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.

Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas

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

2018

A Novel Domain Adaptation Framework for Medical Image Segmentation.

Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018