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Sagi Perel

Sagi Perel

I joined Google in 2015 to work on unsupervised anomaly detection; and currently work on Machine Learning, with a focus on black box optimization. My work includes a mixture of research and applied engineering. I completed my PhD in Neural Engineering (Machine Learning & Neuroscience) at the University of Pittsburgh and the Center for Neural Basis of Cognition in 2012; and my post-doctoral research at the Department of Bio-engineering, Carnegie Mellon University. My research interests span Machine Learning, Brain-Computer Interfaces and Neuroscience. I'm interested in how human brains learn and transfer knowledge across domains, and what governing principles be adapted to learning algorithms. My academic home page is at www.cnbc.cmu.edu/~sagi

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    Population Based Training as a Service
    Ang Li
    Ola Spyra
    Sagi Perel
    Valentin Dalibard
    Max Jaderberg
    Chenjie Gu
    David Budden
    Tim Harley
    Pramod Gupta
    NIPS Systems for ML Workshop (2018) (to appear)
    Preview abstract Population Based Training (PBT) is a recent approach that jointly optimizes neural network weights and hyperparameters which periodically copies weights of the best performers and mutates hyperparameters during training. We present in this extended abstract a generalized black-box service framework for Population Based Training. We argue that the black-box PBT service design has benefits in system scalability and required engineering effort. We perform a case study on WaveNet speech synthesis to demonstrate the effectiveness of our PBT service. View details
    Extracellular voltage threshold settings can be tuned for optimal encoding of movement and stimulus parameters
    Oby, Emily R
    Perel, Sagi
    Sadtler, Patrick T
    Ruff, Douglas A
    Mischel, Jessica L
    Montez, David F
    Cohen, Marlene R
    Batista, Aaron P
    Chase, Steven M
    Journal of neural engineering, vol. 13 (2016), pp. 036009
    A multivariate gaussian process factor model for hand shape during reach-to-grasp movements
    Castellanos, Lucia
    Vu, Vincent Q
    Perel, Sagi
    Schwartz, Andrew B
    Kass, Robert E
    Statistica Sinica, vol. 25 (2015), pp. 5
    Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics
    Sagi Perel
    Patrick T Sadtler
    Emily R Oby
    Stephen I Ryu
    Elizabeth C Tyler-Kabara
    Aaron P Batista
    Steven M Chase
    Journal of neurophysiology, vol. 114 (2015), pp. 1500-1512
    Automatic scan test for detection of functional connectivity between cortex and muscles
    Sagi Perel
    Andrew B Schwartz
    Valérie Ventura
    Journal of neurophysiology, vol. 112 (2014), pp. 490-499
    Single-snippet analysis for detection of postspike effects
    Sagi Perel
    Andrew B. Schwartz
    Valerie Ventura
    Neural computation, vol. 26 (2014), pp. 40-56
    Direction and speed tuning of motor-cortex multi-unit activity and local field potentials during reaching movements
    Sagi Perel
    Patrick T Sadtler
    Jason M Godlove
    Stephen I Ryu
    Wei Wang
    Aaron P Batista
    Steven M Chase
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pp. 299-302
    Cortical control of a prosthetic arm for self-feeding
    Velliste, Meel
    Perel, Sagi
    Spalding, M Chance
    Whitford, Andrew S
    Schwartz, Andrew B
    Nature, vol. 453 (2008), pp. 1098
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