Itamar Arel

Publication Activity (10 Years)

Years Active: 2009-2016
Publications (10 Years): 1

Top Topics

Driven Learning

Feature Extraction

Artificial General Intelligence

Top Venues

ACM Southeast Regional Conference

IEEE Trans. Neural Networks Learn. Syst.

Publications

Andrew S. Davis, Itamar Arel
Faster Gated Recurrent Units via Conditional Computation. ICMLA (2016)
Jeremy Holleman, Itamar Arel, Steven R. Young, Junjie Lu
Analog inference circuits for deep learning. BioCAS (2015)
Tomer Lancewicki, Benjamin Goodrich, Itamar Arel
Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. ICMLA (2015)
Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman
A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS. IEEE J. Solid State Circuits 50 (1) (2015)
Benjamin Goodrich, Itamar Arel
Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. MWSCAS (2014)
Andrew S. Davis, Itamar Arel
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks. ICLR (Workshop Poster) (2014)
Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman
30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS. ISSCC (2014)
Steven R. Young, Andrew S. Davis, Aaron Mishtal, Itamar Arel
Hierarchical spatiotemporal feature extraction using recurrent online clustering. Pattern Recognit. Lett. 37 (2014)
Benjamin Goodrich, Itamar Arel
Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks. CIDUE (2014)
Steven R. Young, Junjie Lu, Jeremy Holleman, Itamar Arel
On the Impact of Approximate Computation in an Analog DeSTIN Architecture. IEEE Trans. Neural Networks Learn. Syst. 25 (5) (2014)
Derek C. Rose, Itamar Arel
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models ICLR (Workshop Poster) (2013)
Robert Coop, Itamar Arel
Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer. IJCNN (2013)
Robert Coop, Aaron Mishtal, Itamar Arel
Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting. IEEE Trans. Neural Networks Learn. Syst. 24 (10) (2013)
Steven Robert Young, Itamar Arel
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN CoRR (2013)
Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel
Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) (2012)
Sam S. Adams, Itamar Arel, Joscha Bach, Robert Coop, Rod Furlan, Ben Goertzel, J. Storrs Hall, Alexei V. Samsonovich, Matthias Scheutz, Matthew Schlesinger, Stuart C. Shapiro, John F. Sowa
Mapping the Landscape of Human-Level Artificial General Intelligence. AI Mag. 33 (1) (2012)
Benjamin W. Martin, Itamar Arel
Intrinsically motivated exploration via intrinsic value calculation. ACM Southeast Regional Conference (2012)
Robert Coop, Itamar Arel
Mitigation of catastrophic interference in neural networks using a fixed expansion layer. MWSCAS (2012)
Steven Robert Young, Itamar Arel
Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. ICMLA (2) (2012)
Derek C. Rose, Itamar Arel
Toward a Sequential Approach to Pipelined Image Recognition. ICMLA (2) (2012)
Benjamin Goodrich, Itamar Arel
Reinforcement learning based visual attention with application to face detection. CVPR Workshops (2012)
Benjamin Goodrich, Itamar Arel
Consolidated actor critic reinforcement learning model applied to face detection. ACM Southeast Regional Conference (2012)
Ken Habgood, Itamar Arel
A condensation-based application of Cramer's rule for solving large-scale linear systems. J. Discrete Algorithms 10 (2012)
Aaron Mishtal, Itamar Arel
Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks. ICMLA (2) (2012)
Nicole Pennington, Benjamin Goodrich, Itamar Arel
Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model. BICA (2011)
Thomas P. Karnowski, Itamar Arel, Steven R. Young
Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network. BICA (2011)
Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger
Multicast and quality of service provisioning in parallel shared memory switches. IET Commun. 4 (14) (2010)
Itamar Arel, Derek C. Rose, Thomas P. Karnowski
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]. IEEE Comput. Intell. Mag. 5 (4) (2010)
Ken Habgood, Itamar Arel
Revisiting Cramer's rule for solving dense linear systems. SpringSim (2010)
Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose
A Fast and Stable Incremental Clustering Algorithm. ITNG (2010)
Srinivasa Anuradha Bulusu, Benjamin Arazi, Itamar Arel, Andrew S. Davis, George Bitar
A data security protocol for the Trusted Truck® system. CSIIRW (2010)
Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen
A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomputing 74 (1-3) (2010)
Thomas P. Karnowski, Itamar Arel, Derek C. Rose
Deep Spatiotemporal Feature Learning with Application to Image Classification. ICMLA (2010)
Itamar Arel, Shay Berant
Application Feedback in Guiding a Deep-Layered Perception Model. BICA (2010)
Itamar Arel, Andrew S. Davis
On the Episode Duration Distribution in Fixed-Policy Markov Decision Processes. FLAIRS Conference (2010)
Itamar Arel, Scott C. Livingston
Beyond the Turing Test. Computer 42 (3) (2009)
Itamar Arel, Derek C. Rose, Robert Coop
DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)