High- superconductivity by mobilizing local spin singlets and possible route to higher in pressurized

Q Qin, Y Yang - Physical Review B, 2023 - APS
We clarify the pairing mechanism of high-T c superconductivity in bilayer La 3 Ni 2 O 7 under
high pressure by employing the static auxiliary field Monte Carlo approach to simulate a …

Statistical inference and reverse engineering of gene regulatory networks from observational expression data

F Emmert-Streib, GV Glazko, G Altay… - Frontiers in …, 2012 - frontiersin.org
In this paper, we present a systematic and conceptual overview of methods for inferring
gene regulatory networks from observational gene expression data. Further, we discuss two …

Equitability, mutual information, and the maximal information coefficient

JB Kinney, GS Atwal - … of the National Academy of Sciences, 2014 - National Acad Sciences
How should one quantify the strength of association between two random variables without
bias for relationships of a specific form? Despite its conceptual simplicity, this notion of …

Quantifying information of intracellular signaling: progress with machine learning

Y Tang, A Hoffmann - Reports on Progress in Physics, 2022 - iopscience.iop.org
Cells convey information about their extracellular environment to their core functional
machineries. Studying the capacity of intracellular signaling pathways to transmit information …

[書籍][B] Principles of animal communication

JW Bradbury, SL Vehrencamp - 1998 - learninglink.oup.com
Literature Cited to accompany Animal Communication, 2e Page 1 Principles of Animal
Communication, Second Edition Jack W. Bradbury and Sandra L. Vehrencamp Chapter 14 …

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

RAA Ince, BL Giordano, C Kayser… - Human brain …, 2017 - Wiley Online Library
We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …

Efficient estimation of mutual information for strongly dependent variables

S Gao, G Ver Steeg, A Galstyan - Artificial intelligence and …, 2015 - proceedings.mlr.press
We demonstrate that a popular class of non-parametric mutual information (MI) estimators
based on k-nearest-neighbor graphs requires number of samples that scales exponentially …

[書籍][B] Algorithms and theory of computation handbook, volume 2: special topics and techniques

MJ Atallah, M Blanton - 2009 - books.google.com
This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

Demystifying Fixed -Nearest Neighbor Information Estimators

W Gao, S Oh, P Viswanath - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
Estimating mutual information from independent identically distributed samples drawn from
an unknown joint density function is a basic statistical problem of broad interest with …

Measuring information leakage in website fingerprinting attacks and defenses

S Li, H Guo, N Hopper - Proceedings of the 2018 ACM SIGSAC …, 2018 - dl.acm.org
Tor provides low-latency anonymous and uncensored network access against a local or
network adversary. Due to the design choice to minimize traffic overhead (and increase the …