Shashank Subramanian

31 papers A* 2A 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Examining Fast Radiative Feedbacks Using Machine-Learning Weather Emulators. CoRR Ankur Mahesh, William D. Collins, Travis A. O'Brien, Paul B. Goddard, Sinclaire Zebaze, Shashank Subramanian, James Duncan, Oliver Watt-Meyer, Boris Bonev, Thorsten Kurth, Karthik Kashinath, Michael S. Pritchard, Da Yang
2026	J	`jnl`	On Neural Scaling Laws for Weather Emulation through Continual Training. CoRR Shashank Subramanian, Alexander Kiefer, Arnur Nigmetov, Amir Gholami, Dmitriy Morozov, Michael W. Mahoney
2025	J	`jnl`	SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. J. Data-centric Mach. Learn. Res. Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2024	J	`jnl`	Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction. CoRR Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins
2024	—	`conf`	Comprehensive Performance Modeling and System Design Insights for Foundation Models. SC Workshops Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji
2024	J	`jnl`	Comprehensive Performance Modeling and System Design Insights for Foundation Models. CoRR Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji
2024	A*	`conf`	Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. NeurIPS Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
2024	J	`jnl`	Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. CoRR Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
2024	J	`jnl`	Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators. CoRR 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
2024	J	`jnl`	Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators. CoRR 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
2023	A	`conf`	Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. ECAI Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami
2023	J	`jnl`	Ensemble Inversion for Brain Tumor Growth Models With Mass Effect. IEEE Trans. Medical Imaging Shashank Subramanian, Ali Ghafouri, Klaudius Matthias Scheufele, Naveen Himthani, Christos Davatzikos, George Biros
2023	—	`conf`	FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. PASC Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar
2023	J	`jnl`	SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2023	A*	`conf`	Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. NeurIPS Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami
2023	J	`jnl`	Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. CoRR Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami
2023	J	`jnl`	Towards Stability of Autoregressive Neural Operators. CoRR Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown
2023	J	`jnl`	Towards Stability of Autoregressive Neural Operators. Trans. Mach. Learn. Res. Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown
2022	J	`jnl`	Adaptive Self-supervision Algorithms for Physics-informed Neural Networks. CoRR Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami
2022	J	`jnl`	FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR 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
2022	J	`jnl`	FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. CoRR Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
2022	J	`jnl`	Generative Modeling of High-resolution Global Precipitation Forecasts. CoRR James Duncan, Shashank Subramanian, Peter Harrington
2021	J	`jnl`	Ensemble inversion for brain tumor growth models with mass effect. CoRR Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, Christos Davatzikos, George Biros
2021	J	`jnl`	Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Trans. Medical Imaging Klaudius Scheufele, Shashank Subramanian, George Biros
2021	J	`jnl`	Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. CoRR 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
2020	—	`conf`	Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. BrainLes@MICCAI (1) Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas
2020	J	`jnl`	Image-Driven Biophysical Tumor Growth Model Calibration. SIAM J. Sci. Comput. Klaudius Scheufele, Shashank Subramanian, Andreas Mang, George Biros, Miriam Mehl
2020	—	`conf`	Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. MICCAI (2) Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, George Biros
2020	J	`jnl`	Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. CoRR Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, George Biros
2018	—	`conf`	A Novel Domain Adaptation Framework for Medical Image Segmentation. BrainLes@MICCAI (2) Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
2018	J	`jnl`	A Novel Domain Adaptation Framework for Medical Image Segmentation. CoRR Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer