DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. - Itamar Arel; Derek C. Rose; Robert Coop (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Beyond the Turing Test. - Itamar Arel; Scott C. Livingston (Computer, 2009)

Application Feedback in Guiding a Deep-Layered Perception Model. - Itamar Arel; Shay Berant (BICA, 2010)

A data security protocol for the Trusted Truck® system. - Srinivasa Anuradha Bulusu; Benjamin Arazi; Itamar Arel; Andrew S. Davis; George Bitar (CSIIRW, 2010)

On the Episode Duration Distribution in Fixed-Policy Markov Decision Processes. - Itamar Arel; Andrew S. Davis (FLAIRS, 2010)

Deep Spatiotemporal Feature Learning with Application to Image Classification. - Thomas P. Karnowski; Itamar Arel; Derek C. Rose (ICMLA, 2010)

A Fast and Stable Incremental Clustering Algorithm. - Steven R. Young; Itamar Arel; Thomas P. Karnowski; Derek C. Rose (ITNG, 2010)

Revisiting Cramer's rule for solving dense linear systems. - Ken Habgood; Itamar Arel (SpringSim, 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)

Multicast and quality of service provisioning in parallel shared memory switches. - Brad Matthews; Itamar Arel; Derek C. Rose; B. Bollinger (IET Commun., 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)

Modeling Temporal Dynamics with Function Approximation in Deep Spatio-Temporal Inference Network. - Thomas P. Karnowski; Itamar Arel; Steven R. Young (BICA, 2011)

Contrasting Infant Perception Data with a Reinforcement Learning Visual Search Model. - Nicole Pennington; Benjamin Goodrich; Itamar Arel (BICA, 2011)

Consolidated actor critic reinforcement learning model applied to face detection. - Benjamin Goodrich; Itamar Arel (ACM Southeast Regional Conference, 2012)

Intrinsically motivated exploration via intrinsic value calculation. - Benjamin W. Martin; Itamar Arel (ACM Southeast Regional Conference, 2012)

Reinforcement learning based visual attention with application to face detection. - Benjamin Goodrich; Itamar Arel (CVPR Workshops, 2012)

Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks. - Aaron Mishtal; Itamar Arel (ICMLA (2), 2012)

Toward a Sequential Approach to Pipelined Image Recognition. - Derek C. Rose; Itamar Arel (ICMLA (2), 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 (ICMLA (1), 2012)

Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. - Steven Robert Young; Itamar Arel (ICMLA (2), 2012)

Mitigation of catastrophic interference in neural networks using a fixed expansion layer. - Robert Coop; Itamar Arel (MWSCAS, 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)

A condensation-based application of Cramer's rule for solving large-scale linear systems. - Ken Habgood; Itamar Arel (J. Discrete Algorithms, 2012)

Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer. - Robert Coop; Itamar Arel (IJCNN, 2013)

Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN - Steven Robert Young; Itamar Arel (CoRR, 2013)

Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models - Derek C. Rose; Itamar Arel (ICLR (Workshop Poster), 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)

Neuron clustering for mitigating catastrophic forgetting in feedforward neural networks. - Benjamin Goodrich; Itamar Arel (CIDUE, 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 (ISSCC, 2014)

Unsupervised neuron selection for mitigating catastrophic forgetting in neural networks. - Benjamin Goodrich; Itamar Arel (MWSCAS, 2014)

Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks. - Andrew S. Davis; Itamar Arel (ICLR (Workshop Poster), 2014)

Hierarchical spatiotemporal feature extraction using recurrent online clustering. - Steven R. Young; Andrew S. Davis; Aaron Mishtal; Itamar Arel (Pattern Recognit. Lett., 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)

Analog inference circuits for deep learning. - Jeremy Holleman; Itamar Arel; Steven R. Young; Junjie Lu (BioCAS, 2015)

Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. - Tomer Lancewicki; Benjamin Goodrich; Itamar Arel (ICMLA, 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)

Faster Gated Recurrent Units via Conditional Computation. - Andrew S. Davis; Itamar Arel (ICMLA, 2016)