19 citations · 54 across the 8 of their papers we have counts for
8 papers
Generalized multi-object classification and tracking with sparse feature resonator networks
Lazar Supic, Alec Mullen, E. Paxon Frady
In visual scene understanding tasks, it is essential to capture both invariant and equivariant structure. While neural networks are frequently trained to achieve invariance to tran…
Learning over time using a neuromorphic adaptive control algorithm for robotic arms
Lazar Supic, Terrence C. Stewart
In this paper, we explore the ability of a robot arm to learn the underlying operation space defined by the positions (x, y, z) that the arm's end-effector can reach, including dis…
Bioinspired Smooth Neuromorphic Control for Robotic Arms
Ioannis Polykretis, Lazar Supic, Andreea Danielescu
Beyond providing accurate movements, achieving smooth motion trajectories is a long-standing goal of robotics control theory for arms aiming to replicate natural human movements. D…
Visual Odometry with Neuromorphic Resonator Networks
Alpha Renner, Lazar Supic, Andreea Danielescu +4
Visual Odometry (VO) is a method to estimate self-motion of a mobile robot using visual sensors. Unlike odometry based on integrating differential measurements that can accumulate…
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner, Lazar Supic, Andreea Danielescu +5
Analyzing a visual scene by inferring the configuration of a generative model is widely considered the most flexible and generalizable approach to scene understanding. Yet, one maj…
Tuning Algorithms and Generators for Efficient Edge Inference
Rawan Naous, Lazar Supic, Yoonhwan Kang +3
A surge in artificial intelligence and autonomous technologies have increased the demand toward enhanced edge-processing capabilities. Computational complexity and size of state-of…
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
Lazar Supic, Rawan Naous, Ranko Sredojevic +2
Deep neural networks (DNNs) have become the state-of-the-art technique for machine learning tasks in various applications. However, due to their size and the computational complexi…
Structured Deep Neural Network Pruning via Matrix Pivoting
Ranko Sredojevic, Shaoyi Cheng, Lazar Supic +2
Deep Neural Networks (DNNs) are the key to the state-of-the-art machine vision, sensor fusion and audio/video signal processing. Unfortunately, their computation complexity and tig…