115 citations · 279 across the 14 of their papers we have counts for
6 papers · 1 filter
Simultaneous inference of environmental and interaction forces in collective dynamics
Nipuni de Silva, Ming Zhong, James M. Greene
Collective dynamics arise in a wide range of physical, biological, and engineering applications. Examples include cell migration, swarm robotics, social dynamics, and animal behavi…
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
Jinchao Feng, Mauro Maggioni, Patrick Martin +1
Dynamical systems across many disciplines are modeled as interacting particles or agents, with interaction rules that depend on a very small number of variables (e.g. pairwise dist…
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Mauro Maggioni, Jason Miller, Hongda Qiu +1
Interacting agent and particle systems are extensively used to model complex phenomena in science and engineering. We consider the problem of learning interaction kernels in these…
Data-driven Discovery of Emergent Behaviors in Collective Dynamics
Mauro Maggioni, Jason Miller, Ming Zhong
Particle- and agent-based systems are a ubiquitous modeling tool in many disciplines. We consider the fundamental problem of inferring interaction kernels from observations of agen…
GDP: Generalized Device Placement for Dataflow Graphs
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi +8
Runtime and scalability of large neural networks can be significantly affected by the placement of operations in their dataflow graphs on suitable devices. With increasingly comple…
Nonparametric inference of interaction laws in systems of agents from trajectory data
Fei Lu, Mauro Maggioni, Sui Tang +1
Inferring the laws of interaction between particles and agents in complex dynamical systems from observational data is a fundamental challenge in a wide variety of disciplines. We…