Charles Siegel

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 22

Top Topics

Distributed Representations

Organic Chemistry

Top Venues

Future Gener. Comput. Syst.

Publications

Nitin A. Gawande, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Gener. Comput. Syst. 108 (2020)
Aaron Vose, Jacob Balma, Alex Heye, Alessandro Rigazzi, Charles Siegel, Diana Moise, Benjamin Robbins, Rangan Sukumar
Recombination of Artificial Neural Networks. CoRR (2019)
Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. CoRR (2018)
Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu
Desh: deep learning for system health prediction of lead times to failure in HPC. HPDC (2018)
Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. CoRR (2018)
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. 32 (5) (2018)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? WACV (2018)
Israt Nisa, Charles Siegel, Aravind Sukumaran-Rajam, Abhinav Vishnu, P. Sadayappan
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs. IPDPS Workshops (2018)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. KDD (2018)
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. CoRR (2018)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? CoRR (2017)
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
What does fault tolerant Deep Learning need from MPI? CoRR (2017)
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
What does fault tolerant deep learning need from MPI? EuroMPI/USA (2017)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. CoRR (2017)
Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie
A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA (2017)
Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
Evaluating On-Node GPU Interconnects for Deep Learning Workloads. PMBS@SC (2017)
Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily
User-transparent Distributed TensorFlow. CoRR (2017)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan Baker
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. CoRR (2017)
Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. CoRR (2017)
Charles Siegel, Jeff Daily, Abhinav Vishnu
Adaptive neuron apoptosis for accelerating deep learning on large scale systems. IEEE BigData (2016)
Abhinav Vishnu, Charles Siegel, Jeffrey Daily
Distributed TensorFlow with MPI. CoRR (2016)
Charles Siegel, Jeff Daily, Abhinav Vishnu
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems. CoRR (2016)