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Community Structure Recovery and Interaction Probability Estimation for Gossip O ...
We study how to jointly recover the community structure and estimate the interaction probabilities of gossip opinion dynamics. In this process, agents randomly interact pairwise, and there are stubborn agents never changing thei ... Read More >
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Dynamic curriculum learning via data parameters for noise robust keyword spottin ...
We propose dynamic curriculum learning via data parameters for noise robust keyword spotting. Data parameter learning has recently been introduced for image processing, where weight parameters, so-called data parameters, for tar ... Read More >
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Generative Speech Coding with Predictive Variance Regularization
The recent emergence of machine-learning based generative models for speech suggests a significant reduction in bit rate for speech codecs is possible. However, the performance of generative models deteriorates significantly wit ... Read More >
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Relying on a rate constraint to reduce Motion Estimation complexity
This paper proposes a rate-based candidate elimination strategy for Motion Estimation, which is considered one of the main sources of encoder complexity. We build from findings of previous works that show that selected motion ve ... Read More >
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Highway Traffic Control via Smart e-Mobility -- Part II: Dutch A13 Case Study
In this paper, we study how to alleviate highway traffic congestions by encouraging plug-in electric and hybrid vehicles to stop at charging stations around peak congestion times. Specifically, we focus on a case study and simul ... Read More >
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Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MI ...
Employing large antenna arrays is a key characteristic of millimeter wave (mmWave) and terahertz communication systems. However, due to the adoption of fully analog or hybrid analog/digital architectures, as well as non-ideal ha ... Read More >
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SRDTI: Deep learning-based super-resolution for diffusion tensor MRI
High-resolution diffusion tensor imaging (DTI) is beneficial for probing tissue microstructure in fine neuroanatomical structures, but long scan times and limited signal-to-noise ratio pose significant barriers to acquiring DTI ... Read More >
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Analysis of EEG data using complex geometric structurization
Electroencephalogram (EEG) is a common tool used to understand brain activities. The data are typically obtained by placing electrodes at the surface of the scalp and recording the oscillations of currents passing through the el ... Read More >
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Robust Model Predictive Path Integral Control: Analysis and Performance Guarante ...
In this paper we propose a novel decision making architecture for Robust Model Predictive Path Integral control (RMPPI) and investigate its performance guarantees and applicability to off-road navigation. Key building blocks of ... Read More >
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Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gears ...
In this paper, we propose an approach to coordinated receding-horizon control of vehicle speed and transmission gearshift for automated battery electric vehicles (BEVs) to achieve improved energy efficiency. The introduction of ... Read More >