In this paper, we have presented a new definition of the modularity in directed networks by introducing a new quantity LinkRank, which indicates the importance of links in directed networks. The new modularity is related to the random walk process i…

To identify communities in directed networks, we propose a generalized form of modularity in directed networks by introducing a new quantity LinkRank…

CSMA (Carrier Sense Multiple Access), which resolves contentions over wireless networks in a fully distributed fashion, has recently gained a lot of …

In this paper, we propose novel algorithms for inferring the Maximum a Posteriori (MAP) solution of discrete pairwise random field models under multi…

Given n subspaces of a finite-dimensional vector space over a fixed finite field $\mathbb F$, we wish to find a linear layout $V_1,V_2,\ldots,V_n$ of…

We explore value-based solutions for multi-agent reinforcement learning (MARL) tasks in the centralized training with decentralized execution (CTDE) …

We consider the problem of detecting the presence of the signal in a rank-one signal-plus-noise data matrix. In case the signal-to-noise ratio is und…

A prerequisite for many quantum information processing tasks to truly surpass classical approaches is an efficient procedure to encode classical data…

In this article, we propose an exact simulation method of the Wishart multidimensional stochastic volatility (WMSV) model, which was recently introdu…

Given a set of line segments in the plane, not necessarily finite, what is a convex region of smallest area that contains a translate of each input s…

Although stochastic gradient descent (SGD) is a driving force behind the recent success of deep learning, our understanding of its dynamics in a high…

The computational cost of preparing an input quantum state can be significant depending on the structure of data to be encoded. Many quantum algorith…

Recent studies on MAC scheduling have shown that carrier sense multiple access (CSMA) algo- rithms can be throughput optimal for arbitrary wireless n…

Can the success of reinforcement learning methods for simple combinatorial optimization problems be extended to multi-robot sequential assignment pla…

In this paper, we consider a primal-dual domain decomposition method for total variation regularized problems appearing in mathematical image process…

Mobile manipulation planning commonly adopts a decoupled approach that performs planning separately on the base and the manipulator. While this appro…

This paper presents a neural estimator for entropy production, or NEEP, that estimates entropy production (EP) from trajectories without any prior kn…

Mobile manipulation planning commonly adopts a decoupled approach that performs planning separately for the base and manipulator, to make each planni…

Spectrum leasing via cooperation refers to the possibility of primary users leasing a portion of the spectral resources to secondary users in exchang…

Coded computation is a framework which provides redundancy in distributed computing systems to speed up largescale tasks. Although most existing work…

In various online/offline multi-agent networked environments, it is very popular that the system can benefit from coordinating actions of two interac…

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