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Engineering and Technology

D-Index
37
Citations
25592
World Ranking
8219
National Ranking
2256

Overview

Adam Coates is a researcher affiliated with Apple in the United States. Their work predominantly focuses on neuroscience, with particular attention to cognitive neuroscience and advanced neuroimaging methods.

Coates has contributed to multiple publications in specialized venues, reflecting a focus on imaging and data-driven neuroscience. Their recent papers include:

  • High-resolution dataset of manual claustrum segmentation, 2024, Data in Brief
  • High-resolution 7T fMRI reveals the visual zone of the human claustrum, 2024, Imaging Neuroscience
  • High-resolution 7T fMRI reveals the visual sensory zone of the human claustrum, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • High-Resolution Dataset of Manual Claustrum Segmentation, 2023, SSRN Electronic Journal

Their research incorporates the use of advanced MRI techniques and medical image segmentation approaches. These methods align with their main scientific interests, which also cover topics such as spatial neglect and hemispheric dysfunction, hallucinations in medical conditions, and neural dynamics related to visual perception and brain function.

Frequent co-authorship with other researchers is notable in Coates's work, including collaborations with Natalia Zaretskaya, David Linhardt, Christian Windischberger, Anja Ischebeck, and Dominik Zuschlag. These collaborations appear alongside their contributions in venues dedicated to neuroimaging and neuroscience.

The primary fields and subfields in which Coates publishes are:

  • Neuroscience
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Automotive Engineering

The main topics of Coates's research include:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Hallucinations in medical conditions
  • Spatial Neglect and Hemispheric Dysfunction
  • Visual perception and processing mechanisms
  • Neural dynamics and brain function

Coates's publication record shows a pattern of research that revolves around high-resolution imaging of the human brain, with particular emphasis on the claustrum and its visual sensory zones. This focus supports investigations into mechanisms of visual processing and brain lateralization. The venues in which Coates publishes frequently include Data in Brief, Imaging Neuroscience, bioRxiv, SSRN Electronic Journal, and Journal of Vision.

Best Publications

  • Reading Digits in Natural Images with Unsupervised Feature Learning

    Yuval Netzer;Tao Wang;Adam Coates;Alessandro Bissacco

  • An analysis of single-layer networks in unsupervised feature learning

    Adam Coates;Andrew Y. Ng;Honglak Lee

  • Deep speech 2: end-to-end speech recognition in English and mandarin

    Dario Amodei;Sundaram Ananthanarayanan;Rishita Anubhai;Jingliang Bai

  • Deep Speech: Scaling up end-to-end speech recognition

    Awni Y. Hannun;Carl Case;Jared Casper;Bryan Catanzaro

  • On optimization methods for deep learning

    Jiquan Ngiam;Adam Coates;Ahbik Lahiri;Bobby Prochnow

  • End-to-end text recognition with convolutional neural networks

    Tao Wang;David J. Wu;Adam Coates;Andrew Y. Ng

  • Deep learning with COTS HPC systems

    Adam Coates;Brody Huval;Tao Wang;David Wu

  • An Application of Reinforcement Learning to Aerobatic Helicopter Flight

    Pieter Abbeel;Adam Coates;Morgan Quigley;Andrew Y. Ng

  • Learning Feature Representations with K-Means

    Adam Coates;Andrew Y. Ng

  • Autonomous Helicopter Aerobatics through Apprenticeship Learning

    Pieter Abbeel;Adam Coates;Andrew Y. Ng

  • Autonomous Inverted Helicopter Flight via Reinforcement Learning

    Andrew Y. Ng;Adam Coates;Mark Diel;Varun Ganapathi

  • The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization

    Adam Coates;Andrew Y. Ng

  • An Empirical Evaluation of Deep Learning on Highway Driving

    Brody Huval;Tao Wang;Sameep Tandon;Jeff Kiske

  • Deep Voice: Real-time Neural Text-to-Speech

    Sercan Ömer Arik;Mike Chrzanowski;Adam Coates;Gregory Frederick Diamos

  • Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning

    Adam Coates;Blake Carpenter;Carl Case;Sanjeev Satheesh

  • Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

    Dario Amodei;Rishita Anubhai;Eric Battenberg;Carl Case

  • Learning for control from multiple demonstrations

    Adam Coates;Pieter Abbeel;Andrew Y. Ng

  • Selecting Receptive Fields in Deep Networks

    Adam Coates;Andrew Y. Ng

  • Exploring neural transducers for end-to-end speech recognition

    Eric Battenberg;Jitong Chen;Rewon Child;Adam Coates

  • Discriminative Training of Kalman Filters.

    Pieter Abbeel;Adam Coates;Michael Montemerlo;Andrew Y. Ng

Frequent Co-Authors

Andrew Y. Ng
Andrew Y. Ng Stanford University
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Bryan Catanzaro
Bryan Catanzaro Nvidia (United States)
Tao Wang
Tao Wang Stanford University
Sebastian Thrun
Sebastian Thrun Stanford University
Dani Yogatama
Dani Yogatama University of Southern California
Michael Montemerlo
Michael Montemerlo Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)
Pranav Rajpurkar
Pranav Rajpurkar Harvard University

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