Paul Bogdan

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University of Southern California

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Learning Hyperbolic Representations of Topological Features

Learning task-specific representations of persistence diagrams is an imp...
03/16/2021 ∙ by Panagiotis Kyriakis, et al. ∙ 0 ∙ share

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VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text

Social media became popular and percolated almost all aspects of our dai...
01/28/2021 ∙ by Mingxi Cheng, et al. ∙ 0 ∙ share

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A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems

High-level applications, such as machine learning, are evolving from sim...
10/09/2020 ∙ by Guixiang Ma, et al. ∙ 0 ∙ share

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S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats – A Network Theoretic, Learning Approach

We propose a framework for the design and optimization of a secure self-...
04/05/2020 ∙ by Shahin Nazarian, et al. ∙ 0 ∙ share

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Efficient Task Mapping for Manycore Systems

System-on-chip (SoC) has migrated from single core to manycore architect...
04/05/2020 ∙ by Xiqian Wang, et al. ∙ 0 ∙ share

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H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based

Cloud computing has attracted both end-users and Cloud Service Providers...
12/20/2019 ∙ by Mingxi Cheng, et al. ∙ 0 ∙ share

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H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers

Cloud computing has attracted both end-users and Cloud Service Providers...
12/20/2019 ∙ by Mingxi Cheng, et al. ∙ 0 ∙ share

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Design Methodology for Energy Efficient Unmanned Aerial Vehicles

In this paper, we present a load-balancing approach to analyze and parti...
09/25/2019 ∙ by Jingyu He, et al. ∙ 0 ∙ share

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Learning Latent Fractional dynamics with Unknown Unknowns

Despite significant effort in understanding complex systems (CS), we lac...
11/02/2018 ∙ by Gaurav Gupta, et al. ∙ 0 ∙ share

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Data-driven Perception of Neuron Point Process with Unknown Unknowns

Identification of patterns from discrete data time-series for statistica...
11/02/2018 ∙ by Ruochen Yang, et al. ∙ 0 ∙ share

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Approximate Submodular Functions and Performance Guarantees

We consider the problem of maximizing non-negative non-decreasing set fu...
06/17/2018 ∙ by Gaurav Gupta, et al. ∙ 0 ∙ share

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Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators

Thermoelectric generation (TEG) has increasingly drawn attention for bei...
03/28/2018 ∙ by Hanchen Yang, et al. ∙ 0 ∙ share

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Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis

Brain interfaces are cyber-physical systems that aim to harvest informat...
03/27/2018 ∙ by Gaurav Gupta, et al. ∙ 0 ∙ share

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Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs

This paper focuses on analysis and design of time-varying complex networ...
03/10/2018 ∙ by Gaurav Gupta, et al. ∙ 0 ∙ share

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