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Data Science Approaches for Energy
Data Science Approaches for Healthcare
Data Science Approaches for Public Good
Data Science Methods and Algorithms
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Sushreyo Misra
Monday
, October 14
2:30pm CDT
The Rice Data to Knowledge (D2K) Lab
BRC 103
Genevera Allen • Cara Tan
3:30pm CDT
Sharing Resources in the Age of Deep Learning
BRC 280
Jacob Balma • Richard Walsh • Peter Mendygral • Nick Hill
3:45pm CDT
Data-Driven Super-Parametrization Using Deep Learning: Climate Models that Do Not Affect Our Climate
BRC 280
Ashesh Chattopadhyay • Adam Subel • Pedram Hassanzadeh • Krishna Palem
4:15pm CDT
Graph Convolutional Networks: Bringing the Deep Learning Revolution to Graphs
BRC 103
Max Grossman
4:30pm CDT
HodgeNet: Flow Interpolation with Graph Neural Networks
BRC 103
T. Mitchell Roddenberry • Santiago Segarra
4:45pm CDT
A Real-Time Streaming Analytic Pipeline for the Auto-Classification of High-Dimensional Celestial Data Using Innovative Hybrid Machine Learning Techniques
BRC 280
Theresa Melvin
Imitate Like a Baby: The Key to Efficient Exploration in Deep Reinforcement Learning
BRC 103
Tharun Medini • Anshumali Shrivastava
5:00pm CDT
Networking Gala
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2019 Rice Data Science Conference
America/Chicago
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2019 Rice Data Science Conference
Oct 14
-
15, 2019
Monday
, October 14
Tuesday
, October 15
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BioScience Research Collaborative, Rice University, Houston, TX, USA
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BRC 103
BRC 280
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Data Science Approaches for Energy
Data Science Approaches for Healthcare
Data Science Approaches for Public Good
Data Science Methods and Algorithms
Keynote
Networking Break
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Welcome
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Sara Mitran
Cheng Zhan
Theresa Melvin
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Yanwan Dai
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