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03/26/2022
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows
Deep Learning (DL) algorithms are becoming increasingly popular for the ...
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08/17/2021
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Deep Learning (DL) algorithms are emerging as a key alternative to compu...
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05/09/2020
CFDNet: a deep learning-based accelerator for fluid simulations
CFD is widely used in physical system design and optimization, where it ...
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08/13/2018
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction
Deep learning algorithms excel at extracting patterns from raw data. Thr...
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07/02/2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Routing questions in Community Question Answer services (CQAs) such as S...
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03/15/2018
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
In this paper, we present GossipGraD - a gossip communication protocol b...
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12/07/2017
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
With access to large datasets, deep neural networks (DNN) have achieved ...
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12/07/2017
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction
With access to large datasets, deep neural networks (DNN) have achieved ...
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12/06/2017
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Chemical databases store information in text representations, and the SM...
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10/05/2017
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
In the last few years, we have seen the rise of deep learning applicatio...
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06/20/2017
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
In the last few years, we have seen the transformative impact of deep le...
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01/17/2017
Deep Learning for Computational Chemistry
The rise and fall of artificial neural networks is well documented in th...
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10/03/2016
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems
We present novel techniques to accelerate the convergence of Deep Learni...
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06/20/2016
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language
Semantic roles play an important role in extracting knowledge from text....
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05/04/2016
Accelerating Deep Learning with Shrinkage and Recall
Deep Learning is a very powerful machine learning model. Deep Learning t...
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12/03/2015