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Papers Unity

“Unity” 태그가 달린 논문 378편 · 필터 해제

Parameter-varying neural ordinary differential equations with partition-of-unity networks

2022-10-01 · Kookjin Lee, Nathaniel Trask

In this study, we propose parameter-varying neural ordinary differential equations (NODEs) where the evolution of model parameters is represented by partition-of-unity networks (POUNets), a mixture of experts architectur…

Mixture-of-ExpertsUnity

Comparison of synthetic dataset generation methods for medical intervention rooms using medical clothing detection as an example

2022-09-23 · Patrick Schülein, Hannah Teufel, Ronja Vorpahl, Indira Emter 외

The availability of real data from areas with high privacy requirements, such as the medical intervention space, is low and the acquisition legally complex. Therefore, this work presents a way to create a synthetic datas…

Dataset GenerationMixed RealityUnity

The boosted HP filter is more general than you might think

2022-09-20 · Ziwei Mei, Peter C. B. Phillips, Zhentao Shi

The global financial crisis and Covid recession have renewed discussion concerning trend-cycle discovery in macroeconomic data, and boosting has recently upgraded the popular HP filter to a modern machine learning device…

Time SeriesTime Series AnalysisUnity

Mirror Prox Algorithm for Large-Scale Cell-Free Massive MIMO Uplink Power Control

2022-09-20 · Muhammad Farooq, Hien Quoc Ngo, Le-Nam Tran

We consider the problem of max-min fairness for uplink cell-free massive multiple-input multiple-output (MIMO) subject to per-user power constraints. The standard framework for solving the considered problem is to separa…

FairnessSecond-order methodsUnity

Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search

2022-09-13 · Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K, Amit Singh

Sponsored search is a key revenue source for search engines, where advertisers bid on keywords to target users or search queries of interest. However, finding relevant keywords for a given query is challenging due to the…

RetrievalText GenerationText RetrievalUnity

Power Converter Topologies for Electrolyzer Applications to Enable Electric Grid Services

2022-09-13 · Bang L. H. Nguyen, Mayank Panwar, Rob Hovsapian, Kazunori Nagasawa 외

Hydrogen electrolyzers, with their operational flexibility, can be configured as smart dynamic loads which can provide grid services and facilitate the integration of more renewable energy sources into the electrical gri…

Unity

Estimation of Average Derivatives of Latent Regressors: With an Application to Inference on Buffer-Stock Saving

2022-09-13 · Hao Dong, Yuya Sasaki

This paper proposes a density-weighted average derivative estimator based on two noisy measures of a latent regressor. Both measures have classical errors with possibly asymmetric distributions. We show that the proposed…

Unity

Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors

2022-08-11 · Inan Evin, Perttu Hämäläinen, Christian Guckelsberger

Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack. While AI has been leveraged to semi-automate cutscene production, the…

Unity

Latent Partition Implicit with Surface Codes for 3D Representation

2022-07-18 · Chao Chen, Yu-Shen Liu, Zhizhong Han

Deep implicit functions have shown remarkable shape modeling ability in various 3D computer vision tasks. One drawback is that it is hard for them to represent a 3D shape as multiple parts. Current solutions learn variou…

Unity

Quantum Advantage in Variational Bayes Inference

2022-07-07 · Hideyuki Miyahara, Vwani Roychowdhury

Variational Bayes (VB) inference algorithm is used widely to estimate both the parameters and the unobserved hidden variables in generative statistical models. The algorithm -- inspired by variational methods used in com…

Unity

VEM$^2$L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion

2022-07-04 · Tao He, Ming Liu, Yixin Cao, Tianwen Jiang 외

Knowledge Graph Completion (KGC) aims to reason over known facts and infer missing links but achieves weak performances on those sparse Knowledge Graphs (KGs). Recent works introduce text information as auxiliary feature…

Knowledge DistillationKnowledge Graph CompletionKnowledge GraphsMissing Elements+1

Representation Heterogeneity

2022-07-03 · Fausto Giunchiglia, Mayukh Bagchi

Semantic Heterogeneity is conventionally understood as the existence of variance in the representation of a target reality when modelled, by independent parties, in different databases, schemas and/ or data. We argue tha…

DiversityUnity

Detection of magnetohydrodynamic waves by using machine learning

2022-06-15 · Fang Chen, Ravi Samtaney

Nonlinear wave interactions, such as shock refraction at an inclined density interface, in magnetohydrodynamic (MHD) lead to a plethora of wave patterns with myriad wave types. Identification of different types of MHD wa…

BIG-bench Machine LearningregressionUnity

A Mathematical Analysis and Evaluation of Varroa mite Control Methods for a Mite-infested Honey bee Colony

2022-05-24 · A. Ssenoga, H. Ddumba, J. Y. T. Mugisha

In this paper, we present a mathematical model for the interaction between honey bees and mites. The dynamics of a mite-infested honey bee colony and the evaluation of the commonly used mite-control strategies (tradition…

Unity

Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments

2022-05-16 · Ekta U. Samani, Ashis G. Banerjee

Recognition of occluded objects in unseen indoor environments is a challenging problem for mobile robots. This work proposes a new slicing-based topological descriptor that captures the 3D shape of object point clouds to…

Object RecognitionPoint Cloud ClassificationUnity

Unified Distributed Environment

2022-05-14 · Woong Gyu La, Sunil Muralidhara, Lingjie Kong, Pratik Nichat

We propose Unified Distributed Environment (UDE), an environment virtualization toolkit for reinforcement learning research. UDE is designed to integrate environments built on any simulation platform such as Gazebo, Unit…

OpenAI Gymreinforcement-learningReinforcement Learning (RL)Unity

GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks

2022-04-14 · Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh

Multiscale topology optimization (M-TO) entails generating an optimal global topology, and an optimal set of microstructures at a smaller scale, for a physics-constrained problem. With the advent of additive manufacturin…

Unity

JORLDY: a fully customizable open source framework for reinforcement learning

2022-04-11 · Kyushik Min, Hyunho Lee, Kwansu Shin, Taehak Lee 외

Recently, Reinforcement Learning (RL) has been actively researched in both academic and industrial fields. However, there exist only a few RL frameworks which are developed for researchers or students who want to study R…

MuJoCoOpenAI Gymreinforcement-learningReinforcement Learning+2

Bimodal Camera Pose Prediction for Endoscopy

2022-04-11 · Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov

Deducing the 3D structure of endoscopic scenes from images is exceedingly challenging. In addition to deformation and view-dependent lighting, tubular structures like the colon present problems stemming from their self-o…

Camera Pose EstimationPose EstimationPose PredictionPrediction+1

An Arduino based heartbeat detection device (ArdMob-ECG) for real-time ECG analysis

2022-04-01 · Tim Julian Möller, Martin Voss, Laura Kaltwasser

This technical paper provides a tutorial to build a low-cost (10-100 USD) and easy to assemble ECG device (ArdMob-ECG) that can be easily used for a variety of different scientific studies. The advantage of this device i…

SpecificityUnity
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