Itamar Arel

According to our database, Itamar Arel authored at least 37 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Faster Gated Recurrent Units via Conditional Computation.

Andrew S. Davis, Itamar Arel

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS.

Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman

IEEE J. Solid State Circuits, 2015

Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting.

Tomer Lancewicki, Benjamin Goodrich, Itamar Arel

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Analog inference circuits for deep learning.

Jeremy Holleman, Itamar Arel, Steven R. Young, Junjie Lu

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014

On the Impact of Approximate Computation in an Analog DeSTIN Architecture.

Steven R. Young, Junjie Lu, Jeremy Holleman, Itamar Arel

IEEE Trans. Neural Networks Learn. Syst., 2014

Hierarchical spatiotemporal feature extraction using recurrent online clustering.

Steven R. Young, Andrew S. Davis, Aaron Mishtal, Itamar Arel

Pattern Recognit. Lett., 2014

Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks.

Andrew S. Davis, Itamar Arel

Proceedings of the 2nd International Conference on Learning Representations, 2014

Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks.

Benjamin Goodrich, Itamar Arel

Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS.

Junjie Lu, Steven R. Young, Itamar Arel, Jeremy Holleman

Proceedings of the 2014 IEEE International Conference on Solid-State Circuits Conference, 2014

Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks.

Benjamin Goodrich, Itamar Arel

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

2013

Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting.

Robert Coop, Aaron Mishtal, Itamar Arel

IEEE Trans. Neural Networks Learn. Syst., 2013

Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models

Derek C. Rose, Itamar Arel

Proceedings of the 1st International Conference on Learning Representations, 2013

Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN

Steven Robert Young, Itamar Arel

CoRR, 2013

Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer.

Robert Coop, Itamar Arel

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

A condensation-based application of Cramer's rule for solving large-scale linear systems.

Ken Habgood, Itamar Arel

J. Discrete Algorithms, 2012

Mapping the Landscape of Human-Level Artificial General Intelligence.

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

AI Mag., 2012

Mitigation of catastrophic interference in neural networks using a fixed expansion layer.

Robert Coop, Itamar Arel

Proceedings of the 55th IEEE International Midwest Symposium on Circuits and Systems, 2012

Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection.

Steven Robert Young, Itamar Arel

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning.

Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Toward a Sequential Approach to Pipelined Image Recognition.

Derek C. Rose, Itamar Arel

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks.

Aaron Mishtal, Itamar Arel

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Reinforcement learning based visual attention with application to face detection.

Benjamin Goodrich, Itamar Arel

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Intrinsically motivated exploration via intrinsic value calculation.

Benjamin W. Martin, Itamar Arel

Proceedings of the 50th Annual Southeast Regional Conference, 2012

Consolidated actor critic reinforcement learning model applied to face detection.

Benjamin Goodrich, Itamar Arel

Proceedings of the 50th Annual Southeast Regional Conference, 2012

2011

Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model.

Nicole Pennington, Benjamin Goodrich, Itamar Arel

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network.

Thomas P. Karnowski, Itamar Arel, Steven R. Young

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2010

A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures.

Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen

Neurocomputing, 2010

Multicast and quality of service provisioning in parallel shared memory switches.

Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger

IET Commun., 2010

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier].

Itamar Arel, Derek C. Rose, Thomas P. Karnowski

IEEE Comput. Intell. Mag., 2010

Revisiting Cramer's rule for solving dense linear systems.

Ken Habgood, Itamar Arel

Proceedings of the 2010 Spring Simulation Multiconference, 2010

A Fast and Stable Incremental Clustering Algorithm.

Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose

Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

Deep Spatiotemporal Feature Learning with Application to Image Classification.

Thomas P. Karnowski, Itamar Arel, Derek C. Rose

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

On the Episode Duration Distribution in Fixed-Policy Markov Decision Processes.

Itamar Arel, Andrew S. Davis

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

A data security protocol for the Trusted Truck® system.

Srinivasa Anuradha Bulusu, Benjamin Arazi, Itamar Arel, Andrew S. Davis, George Bitar

Proceedings of the 6th Cyber Security and Information Intelligence Research Workshop, 2010

Application Feedback in Guiding a Deep-Layered Perception Model.

Itamar Arel, Shay Berant

Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2009

Beyond the Turing Test.

Itamar Arel, Scott C. Livingston

Computer, 2009

DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition.

Itamar Arel, Derek C. Rose, Robert Coop

Proceedings of the Biologically Inspired Cognitive Architectures, 2009