Machine learning is often used in virtual screening to find compounds that are pharmacologically active on a target protein. The weave module is a ty…

We consider the problem of multi-agent consensus where some agents are subject to faults/attacks and might make updates arbitrarily. The network cons…

A network topology with low average shortest path length (ASPL) provides efficient data transmission while the number of nodes and the number of link…

With the widespread use of intelligent systems, such as smart speakers, addressee recognition has become a concern in human-computer interaction, as …

We propose a new computational method of the Loschmidt amplitude in a generic spin system on the basis of the complex semiclassical analysis on the s…

A theoretical performance analysis of the graph neural network (GNN) is presented. For classification tasks, the neural network approach has the adva…

In this paper, we have derived generic bounds on the variances of estimation and prediction errors in time series analysis using information theory, and the bounds are applicable to any causal estimators/predictors while the processes to be estimate…

In this paper, we obtain generic bounds on the variances of estimation and prediction errors in time series analysis via an information-theoretic app…

The Drinfeld double of a finite dimensional Hopf algebra is a quasi-triangular Hopf algebra with the canonical element as the universal $R$-matrix, a…

We study the Rendezvous problem for 2 autonomous mobile robots in asynchronous settings with persistent memory called light. It is well known that Re…

Maximum Likelihood Estimators (MLE) has many good properties. For example, the asymptotic variance of MLE solution attains equality of the asymptotic…

The Multi-agent Path Finding (MAPF) problem consists in all agents having to move to their own destinations while avoiding collisions. In practical a…

This paper presents a new framework for human action recognition from 3D skeleton sequences. Previous studies do not fully utilize the temporal relat…

The Multi-agent Path Finding (MAPF) problem consists of all agents having to move to their own destinations while avoiding collisions. In practical a…

We investigate the feasibility of sequence-level knowledge distillation of Sequence-to-Sequence (Seq2Seq) models for Large Vocabulary Continuous Spee…

An approximate method for conducting resampling in Lasso, the $\ell_1$ penalized linear regression, in a semi-analytic manner is developed, whereby t…

Browsing news articles on multiple devices is now possible. The lengths of news article headlines have precise upper bounds, dictated by the size of …

Unpaired image-to-image (I2I) translation has received considerable attention in pattern recognition and computer vision because of recent advancemen…

Mapping the knowledge structure from word co-occurrences in a collection of academic papers has been widely used to provide insight into the topic ev…

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