Sotabase

Career

· Public Relations, Saint Mary's University of Minnesota2009–2013
· Public Relations, Marketing, Saint Mary's University of Minnesota2009–2014

Publications (63)

Neural Message Passing for Quantum Chemistry
International Conference on Machine Learning · 2017
8,525
cited
On the importance of initialization and momentum in deep learning
International Conference on Machine Learning · 2013
5,132
cited
Top Downloads in IEEE Xplore [Reader's Choice]
IEEE Signal Processing Magazine · 2017
4,104
cited
Relational inductive biases, deep learning, and graph networks
arXiv.org · 2018
3,416
cited
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
IEEE Transactions on Audio, Speech, and Language Processing · 2012
3,070
cited
Deep Neural Networks for Acoustic Modeling in Speech Recognition
2012
2,526
cited
Acoustic Modeling Using Deep Belief Networks
IEEE Transactions on Audio, Speech, and Language Processing · 2012
1,818
cited
Improving deep neural networks for LVCSR using rectified linear units and dropout
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2013
1,416
cited
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships
Journal of Chemical Information and Modeling · 2015
1,018
cited
Detecting Cancer Metastases on Gigapixel Pathology Images
arXiv.org · 2017
668
cited
Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.
Journal of Chemical Theory and Computation · 2017
571
cited
Deep Convolutional Neural Networks for Large-scale Speech Tasks
Neural Networks · 2015
493
cited
Deep Belief Networks for phone recognition
2009
471
cited
Measuring the Effects of Data Parallelism on Neural Network Training
Journal of machine learning research · 2018
456
cited
Large-scale malware classification using random projections and neural networks
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2013
454
cited
Large scale distributed neural network training through online distillation
International Conference on Learning Representations · 2018
441
cited
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
Neural Information Processing Systems · 2010
338
cited
Deep Belief Networks using discriminative features for phone recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2011
314
cited
Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists.
Archives of Pathology & Laboratory Medicine · 2018
310
cited
On Empirical Comparisons of Optimizers for Deep Learning
arXiv.org · 2019
290
cited
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George Dahl | Researcher Profile | Sotabase | Sotabase