6 papers
Differential geometry of particle motion in Stokesian regime
Sumedh R. Risbud
We present a differential geometric framework for the motion of a non-Brownian particle in the presence of fixed obstacles in a quiescent fluid, in the deterministic Stokesian regi…
Solving QUBO on the Loihi 2 Neuromorphic Processor
Alessandro Pierro, Philipp Stratmann, Gabriel Andres Fonseca Guerra +4
In this article, we describe an algorithm for solving Quadratic Unconstrained Binary Optimization problems on the Intel Loihi 2 neuromorphic processor. The solver is based on a har…
Parallelized Multi-Agent Bayesian Optimization in Lava
Shay Snyder, Derek Gobin, Victoria Clerico +2
In parallel with the continuously increasing parameter space dimensionality, search and optimization algorithms should support distributed parameter evaluations to reduce cumulativ…
Neuromorphic quadratic programming for efficient and scalable model predictive control
Ashish Rao Mangalore, Gabriel Andres Fonseca Guerra, Sumedh R. Risbud +2
Applications in robotics or other size-, weight- and power-constrained autonomous systems at the edge often require real-time and low-energy solutions to large optimization problem…
Asynchronous Neuromorphic Optimization with Lava
Shay Snyder, Sumedh R. Risbud, Maryam Parsa
Performing optimization with event-based asynchronous neuromorphic systems presents significant challenges. Intel's neuromorphic computing framework, Lava, offers an abstract appli…
Transductive Spiking Graph Neural Networks for Loihi
Shay Snyder, Victoria Clerico, Guojing Cong +4
Graph neural networks have emerged as a specialized branch of deep learning, designed to address problems where pairwise relations between objects are crucial. Recent advancements…