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Javier Zazo
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Javier Zazo11 visible / 11 total nodes / 21 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipAuthorshipWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalJavier ZazoAJavier ZazoResearcherForward-Learned Discrete Diffusion: Learning how to noise to denoise fasterWForward-Learned Discret...preprint / 2026Grigory BartoshAGrigory BartoshResearcherTeodora PandevaATeodora PandevaResearcherSushrut KarmalkarASushrut KarmalkarResearcherCooperative Network Node Positioning Techniques Using Underwater Radio CommunicationsWCooperative Network Nod...preprint / 2016Robust Worst-Case Analysis of Demand-Side Management in Smart GridsWRobust Worst-Case Analy...preprint / 2016Machine LearningTMachine Learning49008 worksPreferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as PossibleWPreferential Mixture-of...preprint / 2021Simulation of Underwater RF Wireless Sensor Networks using CastaliaWSimulation of Underwate...preprint / 2016Dynamic Potential Games in Communications: Fundamentals and ApplicationsWDynamic Potential Games...preprint / 2015
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Javier Zazo

Researcher

PaperForward-Learned Discrete Diffusion: Learning how to noise to denoise fasterAuthorship / preprint / 2026PersonGrigory BartoshCo-authorship / ResearcherPersonTeodora PandevaCo-authorship / ResearcherPersonSushrut KarmalkarCo-authorship / ResearcherPaperCooperative Network Node Positioning Techniques Using Underwater Radio CommunicationsAuthorship / preprint / 2016PaperRobust Worst-Case Analysis of Demand-Side Management in Smart GridsAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 worksPaperPreferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as PossibleAuthorship / preprint / 2021

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