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Abhinav Vishnu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Garrett B. Goh

> Home > Persons > Abhinav Vishnu

Publications

2018
[c51]
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  dblp key:
  - conf/kdd/GohSVH18
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  - https://dblp.org/rec/conf/kdd/GohSVH18
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: 302-310
[c50]
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  - conf/wacv/GohSVHB18
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Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? WACV 2018: 1340-1349
[i15]
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  dblp key:
  - journals/corr/abs-1808-04456
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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 abs/1808.04456 (2018)
2017
[j19]
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  - journals/jcc/GohHV17
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Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu:
Deep learning for computational chemistry. J. Comput. Chem. 38(16): 1291-1307 (2017)
[i14]
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  dblp key:
  - journals/corr/abs-1701-04503
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Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu:
Deep Learning for Computational Chemistry. CoRR abs/1701.04503 (2017)
[i12]
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  - journals/corr/GohSVHB17
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Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan A. Baker:
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. CoRR abs/1706.06689 (2017)
[i10]
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  dblp key:
  - journals/corr/abs-1710-02238
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Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker:
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? CoRR abs/1710.02238 (2017)
[i9]
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  dblp key:
  - journals/corr/abs-1712-02034
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Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu:
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. CoRR abs/1712.02034 (2017)
[i8]
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  - journals/corr/abs-1712-02734
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Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas:
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. CoRR abs/1712.02734 (2017)

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