We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualizations of the resul...
Christiaan P. Gribble, Carson Brownlee, Steven G. ...
The powerful yet conceptually simple notions of Finite-Time Lyapunov Exponent (FTLE) and Lagrangian Coherent Structures provide a powerful framework for the analysis and visualiza...
Christoph Garth, Alexander Wiebel, Xavier Tricoche...
: The main idea behind Reconfigurable Object Nets (RONs) is to support the visual specification of controlled rule-based net transformations of place/transition nets (P/T nets). RO...
In this paper, we propose a new joint optimization of linear transmit beamforming and receive combining vectors for the multiple-input multiple-output (MIMO) broadcast channel. We ...
Chan-Byoung Chae, David Mazzarese, Nihar Jindal, R...