activity
20052026
most citedKinetic description of avalanching systems

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Multi-Head Residual-Gated DeepONet for Coherent Nonlinear Wave Dynamics

Zhiwei Fan, Yiming Pan, Daniel Coca

Coherent nonlinear wave dynamics are often strongly shaped by a compact set of physically meaningful descriptors of the initial state. Traditional neural operators typically treat…

eess.SP2019

Recovery of Missing Data in Correlated Smart Grid Datasets

Cristian Genes, Iñaki Esnaola, Samir Perlaza +1

We study the recovery of missing data from multiple smart grid datasets within a matrix completion framework. The datasets contain the electrical magnitudes required for monitoring…

q-bio.NC2018

Learning with precise spike times: A new decoding algorithm for liquid state machines

Dorian Florescu, Daniel Coca

There is extensive evidence that biological neural networks encode information in the precise timing of the spikes generated and transmitted by neurons, which offers several advant…

eess.SY2017

Robust Recovery of Missing Data in Electricity Distribution Systems

Cristian Genes, Iñaki Esnaola, Samir. M. Perlaza +2

The advanced operation of future electricity distribution systems is likely to require significant observability of the different parameters of interest (e.g., demand, voltages, cu…

cond-mat.stat-mech2005★ 2 cited

Kinetic description of avalanching systems

M. Gedalin, M. Balikhin, D. Coca +2

Avalanching systems are treated analytically using the renormalization group (in the self-organized-criticality regime) or mean-field approximation, respectively. The latter descri…