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Marcelo Matheus Gauy

2 accepted papers

2021

The Influence of Memory in Multi-Agent Consensus

AAAI 2021technical

Multi-agent consensus problems can often be seen as a sequence of autonomous and independent local choices between a finite set of decision options, with each local choice undertaken simultaneously, and with a shared goal of achieving a global consensus state. Being able to estimate probabilities…

2019

Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning

ICML 2019oral

One of the central goals of Recurrent Neural Networks (RNNs) is to learn long-term dependencies in sequential data. Nevertheless, the most popular training method, Truncated Backpropagation through Time (TBPTT), categorically forbids learning dependencies beyond the truncation horizon. In contrast,…