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Meghana Madhyastha

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Prospective Learning: Back to the Future



Joshua T. Vogelstein , Timothy Verstynen , Konrad P. Kording , Leyla Isik , John W. Krakauer , Ralph Etienne-Cummings , Elizabeth L. Ogburn , Carey E. Priebe , Randal Burns , Kwame Kutten , James J. Knierim , James B. Potash , Thomas Hartung , Lena Smirnova , Paul Worley , Alena Savonenko , Ian Phillips , Michael I. Miller , Rene Vidal , Jeremias Sulam , Adam Charles , Noah J. Cowan , Maxim Bichuch , Archana Venkataraman , Chen Li , Nitish Thakor , Justus M Kebschull , Marilyn Albert , Jinchong Xu , Marshall Hussain Shuler , Brian Caffo , Tilak Ratnanather , Ali Geisa , Seung-Eon Roh , Eva Yezerets , Meghana Madhyastha , Javier J. How , Tyler M. Tomita , Jayanta Dey , Ningyuan , Huang , Jong M. Shin , Kaleab Alemayehu Kinfu , Pratik Chaudhari , Ben Baker , Anna Schapiro , Dinesh Jayaraman , Eric Eaton , Michael Platt , Lyle Ungar , Leila Wehbe , Adam Kepecs , Amy Christensen , Onyema Osuagwu , Bing Brunton , Brett Mensh , Alysson R. Muotri , Gabriel Silva , Francesca Puppo , Florian Engert , Elizabeth Hillman , Julia Brown , Chris White , Weiwei Yang


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PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment



Meghana Madhyastha , Kunal Lillaney , James Browne , Joshua Vogelstein , Randal Burns


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Geodesic Learning via Unsupervised Decision Forests



Meghana Madhyastha , Percy Li , James Browne , Veronika Strnadova-Neeley , Carey E. Priebe , Randal Burns , Joshua T. Vogelstein


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Inferring Concept Prerequisite Relations from Online Educational Resources



Sudeshna Roy , Meghana Madhyastha , Sheril Lawrence , Vaibhav Rajan

* Accepted at the AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-19) 

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