LEEClab/Atlantic_series
ATLANTIC SERIES: biodiversity hotspot data papers (⭐ 19)
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning
Coordinated defensive escorts can aid a navigating payload by positioning themselves in order to maintain the safety of the payload from obstacles. In this paper, we present a novel, end-to-end solution for coordinating an escort team for protecting...
Dually flat structure with escort probability and its application to alpha-Voron…
This paper studies geometrical structure of the manifold of escort probability distributions and shows its new applicability to information science. In order to realize escort probabilities we use a conformal transformation that flattens so-called al...
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Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and…
AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated code. This paper first reviews the current state-of-the-art and identifi...
A new method for comparing rankings through complex networks: Model and analysis…
In this paper we show a new technique to analyze families of rankings. In particular we focus on sports rankings and, more precisely, on soccer leagues. We consider that two teams compete when they change their relative positions in consecutive ranki...
A time-dependent scoring system for soccer leagues
In this paper, a new continuous scoring system for soccer is proposed, based on the proportion of time that a team is winning, losing or tied. Several simulations are made applying this technique to complete seasons of different leagues. As some prel...
Quantum Mechanics: Harbinger of a Non-Commutative Probability Theory?
In this paper we discuss the relevance of the algebraic approach to quantum phenomena first introduced by von Neumann before he confessed to Birkoff that he no longer believed in Hilbert space. This approach is more general and allows us to see the s...
Typical Stability
In this paper, we introduce a notion of algorithmic stability called typical stability. When our goal is to release real-valued queries (statistics) computed over a dataset, this notion does not require the queries to be of bounded sensitivity -- a c...
Students going into Cyber save yourself
Cybersecurity sounds like such an amazing career choice on paper but the actual fight you have to go through to break in is insane. I’m on my 4th year of college and have heard literally every poss...
Random walk loop soup
The Brownian loop soup introduced in Lawler and Werner (2004) is a Poissonian realization from a sigma-finite measure on unrooted loops. This measure satisfies both conformal invariance and a restriction property. In this paper, we define a random...
Model soups to increase inference without increasing compute time
In this paper, we compare Model Soups performances on three different models (ResNet, ViT and EfficientNet) using three Soup Recipes (Greedy Soup Sorted, Greedy Soup Random and Uniform soup) from arXiv:2203.05482, and reproduce the results of the aut...
PSA: A novel optimization algorithm based on survival rules of porcellio scaber
Bio-inspired algorithms such as neural network algorithms and genetic algorithms have received a significant amount of attention in both academic and engineering societies. In this paper, based on the observation of two major survival rules of a spec...
Perfectionism Search Algorithm (PSA): An Efficient Meta-Heuristic Optimization A…
This paper proposes a novel population-based meta-heuristic optimization algorithm, called Perfectionism Search Algorithm (PSA), which is based on the psychological aspects of perfectionism. The PSA algorithm takes inspiration from one of the most po...
Porcellio scaber algorithm (PSA) for solving constrained optimization problems
In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-continuous nonlinear optimization problem. Our extensive experiment resul...
On the age of the magnetically active WW Psa and TX Psa members of the beta Pict…
There are a variety of different techniques available to estimate the ages of pre-main-sequence stars. Components of physical pairs, thanks to their strict coevality and the mass difference, such as the binary system analysed in this paper, are best...
Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA f…
This paper explores the potential of Local Ensemble Transform Kalman Filter (LETKF) by comparing the performance of LETKF with an operational 3D-Var assimilation system, Physical-Space Statistical Analysis System (PSAS), under a perfect model scena...
Young-Wan Kwon Responds to Uproar over LK-99 in University Lecture
Points: 2 | Comments: 2 | Author: PawgerZ
Evolvability ES: Scalable and Direct Optimization of Evolvability
Designing evolutionary algorithms capable of uncovering highly evolvable representations is an open challenge; such evolvability is important because it accelerates evolution and enables fast adaptation to changing circumstances. This paper introduce...
Online Housing Market
This paper studies an online variant of the celebrated housing market problem, where each agent has a single house and seeks to exchange it for another based on her preferences. In this online setting, agents may arrive and depart at any time, meanin...