Difference between revisions of "INFOCOMP-2017 Venice"

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(INFOCOMP17Venice, Italy, June 26-19, 2017)
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[[Image:KyraGan.png|right|150px]]
 
[[Image:KyraGan.png|right|150px]]
 
I'm attending INFOCOMP17, a conference where I have already presented several papers in the past.  I presented the paper detailing the work done by Kyra Gan, Class of 2017, on [http://cs.smith.edu/classwiki/index.php/Data_Visualization_Transit_Map_of_the_Spread_of_an_Infectious_Disease_in_a_Closed_Student_Population the data visualization of the spread of a virus].  The paper is available [http://www.science.smith.edu/dftwiki/images/5/5a/DataVisAgentBasedModelingVirusSpread_GanThiebaut2017.pdf here].  Kyra is now (as of June 2017) a graduate student at CMU's Tepper School of Business.  
 
I'm attending INFOCOMP17, a conference where I have already presented several papers in the past.  I presented the paper detailing the work done by Kyra Gan, Class of 2017, on [http://cs.smith.edu/classwiki/index.php/Data_Visualization_Transit_Map_of_the_Spread_of_an_Infectious_Disease_in_a_Closed_Student_Population the data visualization of the spread of a virus].  The paper is available [http://www.science.smith.edu/dftwiki/images/5/5a/DataVisAgentBasedModelingVirusSpread_GanThiebaut2017.pdf here].  Kyra is now (as of June 2017) a graduate student at CMU's Tepper School of Business.  
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One quote I heard at a panel on Tuesday expressed quite a bit my recent exploration of Neural Nets (NN), and in particular the use of TensorFlow and Long-Short-Term-Memory based network to predict time series:  "Neural Nets are an art."  It was said by Alexander Troussov, of IBM, Dublin.  Getting NN to converge requires tweaking, and a lot of trials, playing with the number of layers, the width of layers, the type of cells, the output functions, etc.
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I was also happy to meet colleagues from Wellesley College whose two daughters, Artemis and Danaë, are or have attended Smith, in different ways (regular student and during a junior-semester-abroad): Takis Metaxas, and Stella Kakavoulis.
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Revision as of 01:20, 28 June 2017

--D. Thiebaut (talk) 07:17, 26 June 2017 (EDT)


INFOCOMP17

Venice, Italy, June 26-19, 2017


KyraGan.png

I'm attending INFOCOMP17, a conference where I have already presented several papers in the past. I presented the paper detailing the work done by Kyra Gan, Class of 2017, on the data visualization of the spread of a virus. The paper is available here. Kyra is now (as of June 2017) a graduate student at CMU's Tepper School of Business.
One quote I heard at a panel on Tuesday expressed quite a bit my recent exploration of Neural Nets (NN), and in particular the use of TensorFlow and Long-Short-Term-Memory based network to predict time series: "Neural Nets are an art." It was said by Alexander Troussov, of IBM, Dublin. Getting NN to converge requires tweaking, and a lot of trials, playing with the number of layers, the width of layers, the type of cells, the output functions, etc.
I was also happy to meet colleagues from Wellesley College whose two daughters, Artemis and Danaë, are or have attended Smith, in different ways (regular student and during a junior-semester-abroad): Takis Metaxas, and Stella Kakavoulis.

TakisStella.jpg