Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Impact of parity in rock-paper-scissors type models
We investigate the impact of parity on the abundance of weak species in the context of the simplest generalization of the rock-paper-scissors model to an arbitrary number of species -- we consider models with a total num…
UnityVocal Bursts Type PredictionProbabilistic partition of unity networks: clustering based deep approximation
Partition of unity networks (POU-Nets) have been shown capable of realizing algebraic convergence rates for regression and solution of PDEs, but require empirical tuning of training parameters. We enrich POU-Nets with a …
ClusteringProbabilistic Deep LearningregressionUnityReasoning about conscious experience with axiomatic and graphical mathematics
We cast aspects of consciousness in axiomatic mathematical terms, using the graphical calculus of general process theories (a.k.a symmetric monoidal categories and Frobenius algebras therein). This calculus exploits the …
UnityPrediction-Free, Real-Time Flexible Control of Tidal Lagoons through Proximal Policy Optimisation: A Case Study for the Swansea Lagoon
Tidal Range Structures (TRS) have been considered for large-scale electricity generation for their potential ability to produce reasonably predictable energy without the emission of greenhouse gases. Once the main forcin…
Deep Reinforcement LearningUnitySmall Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario
Detecting small objects in video streams of head-worn augmented reality devices in near real-time is a huge challenge: training data is typically scarce, the input video stream can be of limited quality, and small object…
object-detectionObject DetectionSmall Object DetectionUnityProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Our work focuses on the development of a learnable neural representation of human pose for advanced AI assisted animation tooling. Specifically, we tackle the problem of constructing a full static human pose based on spa…
Computational EfficiencyUnityAttention elasticities and invariant information costs
We consider a generalization of rational inattention problems by measuring costs of information through the information radius (Sibson, 1969; Verd\'u, 2015) of statistical experiments. We introduce a notion of attention …
SensitivityUnityDigital Twin-Assisted Cooperative Driving at Non-Signalized Intersections
Digital Twin, as an emerging technology related to Cyber-Physical Systems (CPS) and Internet of Things (IoT), has attracted increasing attentions during the past decade. Conceptually, a Digital Twin is a digital replica …
Motion EstimationUnityTraining Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
Deep generative frameworks including GANs and normalizing flow models have proven successful at filling in missing values in partially observed data samples by effectively learning -- either explicitly or implicitly -- c…
Missing ValuesUnityIntermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization
This paper is concerned with the design of intermittent non-pharmaceutical strategies to mitigate the spread of the COVID-19 epidemic exploiting network epidemiological models. Specifically, by studying a variational equ…
Model Predictive ControlUnityInitializing ReLU networks in an expressive subspace of weights
Using a mean-field theory of signal propagation, we analyze the evolution of correlations between two signals propagating forward through a deep ReLU network with correlated weights. Signals become highly correlated in d…
UnityStrictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels
This paper describes an adaptive method in continuous time for the estimation of external fields by a team of $N$ agents. The agents $i$ each explore subdomains $\Omega^i$ of a bounded subset of interest $\Omega\subset X…
UnityA Survey on Image Aesthetic Assessment
Automatic image aesthetics assessment is a computer vision problem dealing with categorizing images into different aesthetic levels. The categorization is usually done by analyzing an input image and computing some measu…
RhythmSurveyUnityA Survey of Hybrid Human-Artificial Intelligence for Social Computing
Along with the development of modern computing technology and social sciences, both theoretical research and practical applications of social computing have been continuously extended. In particular with the boom of arti…
SurveyUnityUnderstanding and mitigating noise in trained deep neural networks
Deep neural networks unlocked a vast range of new applications by solving tasks of which many were previously deemed as reserved to higher human intelligence. One of the developments enabling this success was a boost in …
UnityMulti-Agent Path Planning based on MPC and DDPG
The problem of mixed static and dynamic obstacle avoidance is essential for path planning in highly dynamic environment. However, the paths formed by grid edges can be longer than the true shortest paths in the terrain s…
Decision MakingModel Predictive ControlUnityEpidemic spreading under mutually independent intra- and inter-host pathogen evolution
The dynamics of epidemic spreading is often reduced to the single control parameter $R_0$, whose value, above or below unity, determines the state of the contagion. If, however, the pathogen evolves as it spreads, $R_0$ …
UnityAlchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning. One problem in this area of research, however, has been a scarcity of a…
Meta-LearningMeta Reinforcement Learningreinforcement-learningReinforcement Learning (RL)+1Atlas Generative Models and Geodesic Interpolation
Generative neural networks have a well recognized ability to estimate underlying manifold structure of high dimensional data. However, if a single latent space is used, it is not possible to faithfully represent a manifo…
UnityModelling the Impact of Scandals: the case of the 2017 French Presidential Election
This paper proposes an agent-based simulation of a presidential election, inspired by the French 2017 presidential election. The simulation is based on data extracted from polls, media coverage, and Twitter. The main con…
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