Charles Siegel
Cited by
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Swarm learning for decentralized and confidential clinical machine learning
S Warnat-Herresthal, H Schultze, KL Shastry, S Manamohan, ...
Nature 594 (7862), 265-270, 2021
Chemception: a deep neural network with minimal chemistry knowledge matches the performance of expert-developed QSAR/QSPR models
GB Goh, C Siegel, A Vishnu, NO Hodas, N Baker
arXiv preprint arXiv:1706.06689, 2017
Smiles2vec: An interpretable general-purpose deep neural network for predicting chemical properties
GB Goh, NO Hodas, C Siegel, A Vishnu
arXiv preprint arXiv:1712.02034, 2017
Gossipgrad: Scalable deep learning using gossip communication based asynchronous gradient descent
J Daily, A Vishnu, C Siegel, T Warfel, V Amatya
arXiv preprint arXiv:1803.05880, 2018
Desh: deep learning for system health prediction of lead times to failure in hpc
A Das, F Mueller, C Siegel, A Vishnu
Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018
Using rule-based labels for weak supervised learning: a ChemNet for transferable chemical property prediction
GB Goh, C Siegel, A Vishnu, N Hodas
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
Distributed tensorflow with MPI
A Vishnu, C Siegel, J Daily
arXiv preprint arXiv:1603.02339, 2016
How much chemistry does a deep neural network need to know to make accurate predictions?
GB Goh, C Siegel, A Vishnu, N Hodas, N Baker
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1340-1349, 2018
Scaling deep learning workloads: Nvidia dgx-1/pascal and intel knights landing
NA Gawande, JA Daily, C Siegel, NR Tallent, A Vishnu
Future Generation Computer Systems 108, 1162-1172, 2020
CATMoS: Collaborative acute toxicity modeling suite
K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, ...
Environmental health perspectives 129 (4), 047013, 2021
Evaluating on-node gpu interconnects for deep learning workloads
NR Tallent, NA Gawande, C Siegel, A Vishnu, A Hoisie
High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2018
Effective machine learning based format selection and performance modeling for SpMV on GPUs
I Nisa, C Siegel, AS Rajam, A Vishnu, P Sadayappan
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
Multimodal deep neural networks using both engineered and learned representations for biodegradability prediction
GB Goh, K Sakloth, C Siegel, A Vishnu, J Pfaendtner
arXiv preprint arXiv:1808.04456, 2018
Chemnet: A transferable and generalizable deep neural network for small-molecule property prediction
GB Goh, CM Siegel, A Vishnu, NO Hodas
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2017
A learning framework for control-oriented modeling of buildings
J Rubio-Herrero, V Chandan, C Siegel, A Vishnu, D Vrabie
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
Coldroute: effective routing of cold questions in stack exchange sites
J Sun, A Vishnu, A Chakrabarti, C Siegel, S Parthasarathy
Data mining and knowledge discovery 32, 1339-1367, 2018
What does fault tolerant deep learning need from mpi?
V Amatya, A Vishnu, C Siegel, J Daily
Proceedings of the 24th European MPI Users' Group Meeting, 1-11, 2017
Adaptive neuron apoptosis for accelerating deep learning on large scale systems
C Siegel, J Daily, A Vishnu
2016 IEEE International Conference on Big Data (Big Data), 753-762, 2016
User-transparent distributed TensorFlow
A Vishnu, J Manzano, C Siegel, J Daily
arXiv preprint arXiv:1704.04560, 2017
Recombination of artificial neural networks
A Vose, J Balma, A Heye, A Rigazzi, C Siegel, D Moise, B Robbins, ...
arXiv preprint arXiv:1901.03900, 2019
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