
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large DataFree Models
Recent progress in scientific machine learning (SciML) has opened up the...
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Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Accurate prediction of crop yield supported by scientific and domainrel...
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How useful is Active Learning for Imagebased Plant Phenotyping?
Deep learning models have been successfully deployed for a diverse array...
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Simulating twophase flows with thermodynamically consistent energy stable CahnHilliard NavierStokes equations on parallel adaptive octree based meshes
We report on simulations of twophase flows with deforming interfaces at...
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Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
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Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Microfluidic devices are utilized to control and direct flow behavior in...
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Physicsaware Deep Generative Models for Creating Synthetic Microstructures
A key problem in computational material science deals with understanding...
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PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization
PARyOpt is a python based implementation of the Bayesian optimization ro...
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Predicting County Level Corn Yields Using Deep Long Short Term Memory Models
Corn yield prediction is beneficial as it provides valuable information ...
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Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps
Our overarching goal is to develop an accurate and explainable model for...
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Interpretable Deep Learning applied to Plant Stress Phenotyping
Availability of an explainable deep learning model that can be applied t...
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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean
Charcoal rot is a fungal disease that thrives in warm dry conditions and...
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A Bayesian Network approach to CountyLevel Corn Yield Prediction using historical data and expert knowledge
Crop yield forecasting is the methodology of predicting crop yields prio...
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Deep Action Sequence Learning for Causal Shape Transformation
Deep learning became the method of choice in recent year for solving a w...
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Baskar Ganapathysubramanian
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