Adaptive neuron apoptosis for accelerating deep learning on large scale systems. - Charles Siegel; Jeff Daily; Abhinav Vishnu (IEEE BigData, 2016)

Distributed TensorFlow with MPI. - Abhinav Vishnu; Charles Siegel; Jeffrey Daily (CoRR, 2016)

A Learning Framework for Control-Oriented Modeling of Buildings. - Javier Rubio-Herrero; Vikas Chandan; Charles Siegel; Abhinav Vishnu; Draguna L. Vrabie (ICMLA, 2017)

What does fault tolerant deep learning need from MPI? - Vinay Amatya; Abhinav Vishnu; Charles Siegel; Jeff Daily (EuroMPI/USA, 2017)

Evaluating On-Node GPU Interconnects for Deep Learning Workloads. - Nathan R. Tallent; Nitin A. Gawande; Charles Siegel; Abhinav Vishnu; Adolfy Hoisie (PMBS@SC, 2017)

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. - Garrett B. Goh; Charles Siegel; Abhinav Vishnu; Nathan Oken Hodas; Nathan A. Baker (CoRR, 2017)

User-transparent Distributed TensorFlow. - Abhinav Vishnu; Joseph B. Manzano; Charles Siegel; Jeff Daily (CoRR, 2017)

SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. - Garrett B. Goh; Nathan O. Hodas; Charles Siegel; Abhinav Vishnu (CoRR, 2017)

ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. - Garrett B. Goh; Charles Siegel; Abhinav Vishnu; Nathan O. Hodas (CoRR, 2017)

Desh: deep learning for system health prediction of lead times to failure in HPC. - Anwesha Das 001; Frank Mueller 001; Charles Siegel; Abhinav Vishnu (HPDC, 2018)

Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs. - Israt Nisa; Charles Siegel; Aravind Sukumaran-Rajam; Abhinav Vishnu; P. Sadayappan (IPDPS Workshops, 2018)

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. - Garrett B. Goh; Charles Siegel; Abhinav Vishnu; Nathan Oken Hodas (KDD, 2018)

How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? - Garrett B. Goh; Charles Siegel; Abhinav Vishnu; Nathan O. Hodas; Nathan A. Baker (WACV, 2018)

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. - Jeff Daily; Abhinav Vishnu; Charles Siegel; Thomas Warfel; Vinay Amatya (CoRR, 2018)

Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. - Garrett B. Goh; Khushmeen Sakloth; Charles Siegel; Abhinav Vishnu; Jim Pfaendtner (CoRR, 2018)

ColdRoute: effective routing of cold questions in stack exchange sites. - Jiankai Sun; Abhinav Vishnu; Aniket Chakrabarti; Charles Siegel; Srinivasan Parthasarathy 001 (Data Min. Knowl. Discov., 2018)

Recombination of Artificial Neural Networks. - Aaron Vose; Jacob Balma; Alex Heye; Alessandro Rigazzi; Charles Siegel; Diana Moise; Benjamin Robbins; Rangan Sukumar (CoRR, 2019)

Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. - Nitin A. Gawande; Jeff A. Daily; Charles Siegel; Nathan R. Tallent; Abhinav Vishnu (Future Gener. Comput. Syst., 2020)