Charles Siegel
According to our database1,
Charles Siegel
authored at least 18 papers
between 2016 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2020
Future Gener. Comput. Syst., 2020
2019
2018
Data Min. Knowl. Discov., 2018
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction.
CoRR, 2018
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent.
CoRR, 2018
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018
2017
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction.
CoRR, 2017
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties.
CoRR, 2017
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models.
CoRR, 2017
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2017
Proceedings of the 24th European MPI Users' Group Meeting, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016