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Shashank Subramanian
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2020 – today
- 2024
- [i13]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 abs/2402.15734 (2024) - [i12]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 abs/2404.19630 (2024) - 2023
- [j4]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): 982-995 (2023) - [j3]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown:
Towards Stability of Autoregressive Neural Operators. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami:
Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. ECAI 2023: 2234-2241 - [c5]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 - [c4]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: 13:1-13:11 - [i11]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. CoRR abs/2306.00258 (2023) - [i10]Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown
:
Towards Stability of Autoregressive Neural Operators. CoRR abs/2306.10619 (2023) - [i9]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 abs/2306.14070 (2023) - 2022
- [i8]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 abs/2202.11214 (2022) - [i7]Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami:
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks. CoRR abs/2207.04084 (2022) - [i6]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 abs/2208.05419 (2022) - [i5]James Duncan, Shashank Subramanian, Peter Harrington:
Generative Modeling of High-resolution Global Precipitation Forecasts. CoRR abs/2210.12504 (2022) - 2021
- [j2]Klaudius Scheufele
, Shashank Subramanian
, George Biros
:
Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan. IEEE Trans. Medical Imaging 40(1): 193-204 (2021) - [i4]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 abs/2102.12602 (2021) - [i3]Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, Christos Davatzikos, George Biros:
Ensemble inversion for brain tumor growth models with mass effect. CoRR abs/2106.06016 (2021) - 2020
- [j1]Klaudius Scheufele, Shashank Subramanian, Andreas Mang
, George Biros, Miriam Mehl:
Image-Driven Biophysical Tumor Growth Model Calibration. SIAM J. Sci. Comput. 42(3): B549-B580 (2020) - [c3]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: 157-167 - [c2]Shashank Subramanian
, Klaudius Scheufele, Naveen Himthani, George Biros:
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. MICCAI (2) 2020: 551-560 - [i2]Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, George Biros:
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect. CoRR abs/2006.09932 (2020)
2010 – 2019
- 2018
- [c1]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: 289-298 - [i1]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 abs/1810.05732 (2018)
Coauthor Index
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last updated on 2024-08-15 23:48 CEST by the dblp team
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