1.5k citations · 4.1k across the 18 of their papers we have counts for
19 papers
OneCAD: One Classifier for All image Datasets using multimodal learning
Shakti N. Wadekar, Eugenio Culurciello
Vision-Transformers (ViTs) and Convolutional neural networks (CNNs) are widely used Deep Neural Networks (DNNs) for classification task. These model architectures are dependent on…
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
Andre Xian Ming Chang, Parth Khopkar, Bashar Romanous +6
The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which provides programming flexibility and high-performance with energy efficiency. An application program to be…
Capsule Network Performance with Autonomous Navigation
Thomas Molnar, Eugenio Culurciello
Capsule Networks (CapsNets) have been proposed as an alternative to Convolutional Neural Networks (CNNs). This paper showcases how CapsNets are more capable than CNNs for autonomou…
Continual Reinforcement Learning in 3D Non-stationary Environments
Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello +1
High-dimensional always-changing environments constitute a hard challenge for current reinforcement learning techniques. Artificial agents, nowadays, are often trained off-line in…
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
Kuan Han, Haiguang Wen, Yizhen Zhang +3
Inspired by "predictive coding" - a theory in neuroscience, we develop a bi-directional and dynamic neural network with local recurrent processing, namely predictive coding network…
Deep Predictive Coding Network for Object Recognition
Haiguang Wen, Kuan Han, Junxing Shi +3
Based on the predictive coding theory in neuroscience, we designed a bi-directional and recurrent neural net, namely deep predictive coding networks (PCN). It has feedforward, feed…