Tommi Jaakkola

Massachusetts Institute of Technology

Professor

Department of Electrical Engineering and Computer Science

Institute for Data, Systems, and Society

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Research Area

#Computer science#Artificial intelligence#Theoretical computer science#Mathematics#Machine learning#Artificial neural network#Algorithm#Graph (abstract data type)#Applied mathematics#Generative grammar

SCIE paper information

Papers relevant to ‘Artificial intelligence’: 5

Research performance of SCIE papers matching with ‘Artificial intelligence’

Citations of SCIE papers SCIE papers 08k16k24k32k40k0306090120150180210240

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Prediction of Organic Reaction Outcomes Using Machine Learning

    2017/04 ACS CENTRAL SCIENCE 11.228 Impact Factor 317 citations

    Connor W. Coley, Regina Barzilay, Tommi Jaakkola, William H. Green, Klavs Jensen

    DOI : 10.1021/ACSCENTSCI.7B00064

  • A graph-convolutional neural network model for the prediction of chemical reactivity.

    2019/01 CHEMICAL SCIENCE 9.346 Impact Factor 222 citations

    Connor W. Coley, Wengong Jin, Luke Rogers, Timothy F. Jamison, Tommi Jaakkola, William H. Green, Regina Barzilay, Klavs Jensen

    DOI : 10.1039/C8SC04228D

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Papers for author ‘Tommi Jaakkola’: 13

Number of published SCIE papers by year

01234201420162017201820192020
H-index 9
Number of NCS papers 2

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

    2014/02 NATURE BIOTECHNOLOGY 41.514 Impact Factor 375 citations

    Richard I. Sherwood, Tatsunori Hashimoto, Charles W O'Donnell, Sophia Lewis, Amira A Barkal, John Peter van Hoff, Vivek Karun, Tommi Jaakkola, David K. Gifford

    DOI : 10.1038/NBT.2798

  • A Deep Learning Approach to Antibiotic Discovery

    2020/02 CELL 41.582 Impact Factor 348 citations

    Jonathan M Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M. Donghia, Craig R. MacNair, Shawn French, Lindsey A. Carfrae, Zohar Bloom-Ackermann, Victoria M. Tran, Anush Chiappino-Pepe, Ahmed H. Badran, Ian W. Andrews, Emma J. Chory, George Church, Eric D Brown, Tommi Jaakkola, Regina Barzilay, James J. Collins

    DOI : 10.1016/J.CELL.2020.01.021

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conference information

Papers relevant to ‘Artificial intelligence’: 11

Research performance of Top-tier Conference matching with ‘Artificial intelligence’

Citations of Top-tier Conference Top-tier Conference paper(s) 020k40k60k80k100k020406080100120140160

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Style Transfer from Non-Parallel Text by Cross-Alignment

    2017/05 NEURIPS Top-tier Conference 449 citations

    Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi Jaakkola

  • Towards robust interpretability with self-explaining neural networks

    2018/12 NEURIPS Top-tier Conference 209 citations

    David Alvarez-Melis, Tommi Jaakkola

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Papers for author ‘Tommi Jaakkola’: 34

Number of published Top-tier Conference by year

024682014201520162017201820192020
Top-tier Conference 34

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Style Transfer from Non-Parallel Text by Cross-Alignment

    2017/05 NEURIPS Top-tier Conference 449 citations

    Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi Jaakkola

  • Towards robust interpretability with self-explaining neural networks

    2018/12 NEURIPS Top-tier Conference 209 citations

    David Alvarez-Melis, Tommi Jaakkola

How can I correct errors in PhD.GO?