Shashank Subramanian | DeepAI

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Dacheng Tao
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∙ 06/18/2023

Towards Stability of Autoregressive Neural Operators

Neural operators have proven to be a promising approach for modeling spa...

0 Michael McCabe, et al. ∙

∙ 06/01/2023

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

Pre-trained machine learning (ML) models have shown great performance fo...

0 Shashank Subramanian, et al. ∙

∙ 10/22/2022

Generative Modeling of High-resolution Global Precipitation Forecasts

Forecasting global precipitation patterns and, in particular, extreme pr...

0 James Duncan, et al. ∙

∙ 08/08/2022

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

Extreme weather amplified by climate change is causing increasingly deva...

8 Thorsten Kurth, et al. ∙

∙ 07/08/2022

Adaptive Self-supervision Algorithms for Physics-informed Neural Networks

Physics-informed neural networks (PINNs) incorporate physical knowledge ...

8 Shashank Subramanian, et al. ∙

∙ 02/22/2022

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

FourCastNet, short for Fourier Forecasting Neural Network, is a global d...

64 Jaideep Pathak, et al. ∙

∙ 06/10/2021

Ensemble inversion for brain tumor growth models with mass effect

We propose a method for extracting physics-based biomarkers from a singl...

0 Shashank Subramanian, et al. ∙

∙ 02/24/2021

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization

Current clinical decision-making in oncology relies on averages of large...

0 Guillermo Lorenzo, et al. ∙

∙ 06/17/2020

Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect

We present a 3D fully-automatic method for the calibration of partial di...

0 Shashank Subramanian, et al. ∙

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

∙ 10/11/2018

A Novel Domain Adaptation Framework for Medical Image Segmentation

We propose a segmentation framework that uses deep neural networks and i...

0 Amir Gholami, et al. ∙

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