Shashank Subramanian

Orcid: 0000-0001-7191-2953

According to our database1, Shashank Subramanian authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning.
CoRR, 2024

2023
Ensemble Inversion for Brain Tumor Growth Models With Mass Effect.
IEEE Trans. Medical Imaging, April, 2023

SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning.
CoRR, 2023

Towards Stability of Autoregressive Neural Operators.
CoRR, 2023

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior.
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.
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.
CoRR, 2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.
CoRR, 2022

2021
Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan.
IEEE Trans. Medical Imaging, 2021

Ensemble inversion for brain tumor growth models with mass effect.
CoRR, 2021

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization.
CoRR, 2021

2020
Image-Driven Biophysical Tumor Growth Model Calibration.
SIAM J. Sci. Comput., 2020

Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018
A Novel Domain Adaptation Framework for Medical Image Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018


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