no code implementations • 17 May 2023 • Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag
Recent research in neural networks and machine learning suggests that using many more parameters than strictly required by the initial complexity of a regression problem can result in more accurate or faster-converging models -- contrary to classical statistical belief.
no code implementations • 8 Sep 2020 • Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag
We develop some basic principles for the design and robustness analysis of a continuous-time bilinear dynamical network, where an attacker can manipulate the strength of the interconnections/edges between some of the agents/nodes.
