Charles Siegel

22 papers A* 1A 2C 1Journal 14Unranked 4

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