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Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios

Mar 18, 2020
Adam Dziedzic, Vanlin Sathya, Muhammad Iqbal Rochman, Monisha Ghosh, Sanjay Krishnan

* Accepted at IEEE Open Journal of Vehicular Technology. arXiv admin note: substantial text overlap with arXiv:1911.09292 

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An Empirical Evaluation of Perturbation-based Defenses

Feb 08, 2020
Adam Dziedzic, Sanjay Krishnan

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Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT

Nov 21, 2019
Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan

* Published at International Conference on Computing, Networking and Communications (ICNC 2020) 

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Band-limited Training and Inference for Convolutional Neural Networks

Nov 21, 2019
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron Elmore, Michael Franklin

* Published at International Conference on Machine Learning (ICML) 

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Selectivity Estimation with Deep Likelihood Models

May 10, 2019
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica

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Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Nov 19, 2018
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon

* accepted in WAFR 2018 

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Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure

Feb 24, 2018
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John Canny, Ken Goldberg

* Code, data, and videos are available at Final version for ICRA 2018 

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SPRK: A Low-Cost Stewart Platform For Motion Study In Surgical Robotics

Dec 08, 2017
Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Ken Goldberg

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Using Intermittent Synchronization to Compensate for Rhythmic Body Motion During Autonomous Surgical Cutting and Debridement

Dec 08, 2017
Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Carolyn Chen, Walter Doug Boyd, Ken Goldberg

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Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning

Nov 04, 2017
Richard Liaw, Sanjay Krishnan, Animesh Garg, Daniel Crankshaw, Joseph E. Gonzalez, Ken Goldberg

* 8 pages, 11 figures 

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DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations

Oct 31, 2017
Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg

* 1st Conference on Robot Learning (CoRL 2017) 
* Published at CoRL 2017 

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Multi-Level Discovery of Deep Options

Oct 05, 2017
Roy Fox, Sanjay Krishnan, Ion Stoica, Ken Goldberg

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Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations

Mar 29, 2017
Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca Dragan, Ken Goldberg

* Submitted to International Conference on Robotics and Automation (ICRA) 2017 

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HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards

Apr 21, 2016
Sanjay Krishnan, Animesh Garg, Richard Liaw, Lauren Miller, Florian T. Pokorny, Ken Goldberg

* 12 pages 

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ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models

Jan 15, 2016
Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg

* Pre-print 

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Communication-Efficient Distributed Dual Coordinate Ascent

Sep 29, 2014
Martin Jaggi, Virginia Smith, Martin Takáč, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann, Michael I. Jordan

* NIPS 2014 version, including proofs. Published in Advances in Neural Information Processing Systems 27 (NIPS 2014) 

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