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Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks

Feb 18, 2020
Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue

* 10 pages 

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Inter-Level Cooperation in Hierarchical Reinforcement Learning

Dec 05, 2019
Abdul Rahman Kreidieh, Samyak Parajuli, Nathan Lichtle, Yiling You, Rayyan Nasr, Alexandre M. Bayen

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Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud

Sep 21, 2019
Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen, Aboudy Kreidieh, Alan Liao, Alexandre M. Bayen, Jason P. Jue

* Accepted to ACM AIChallengeIoT 2019 

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Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning

Jan 30, 2017
Francois Belletti, Daniel Haziza, Gabriel Gomes, Alexandre M. Bayen

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Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies

Mar 10, 2016
Francois W. Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph E. Gonzalez

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Learning Nash Equilibria in Congestion Games

Jul 31, 2014
Walid Krichene, Benjamin Drighès, Alexandre M. Bayen

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Environmental Sensing by Wearable Device for Indoor Activity and Location Estimation

Jun 22, 2014
Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos

* submitted to the 40th Annual Conference of the IEEE Industrial Electronics Society (IECON) 

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Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces

Dec 14, 2012
Timothy Hunter, Tathagata Das, Matei Zaharia, Pieter Abbeel, Alexandre M. Bayen

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