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Akash Srivastava
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Akash Srivastava13 visible / 13 total nodes / 29 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipAuthorshipAuthorshipWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipAkash SrivastavaAAkash SrivastavaResearcherSNLP: Layer-Parallel Inference via Structured Newton CorrectionsWSNLP: Layer-Parallel In...preprint / 2026Ligong HanALigong HanResearcherKai XuAKai XuResearcherHao WangAHao WangResearcherGenerative Ratio Matching NetworksWGenerative Ratio Matchi...preprint / 2020Clustering with a Reject Option: Interactive Clustering as Bayesian Prior ElicitationWClustering with a Rejec...preprint / 2016Clustering with a Reject Option: Interactive Clustering as Bayesian Prior ElicitationWClustering with a Rejec...preprint / 2016Machine LearningTMachine Learning49008 worksLINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic designWLINKS: A dataset of a h...preprint / 2022Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on TransferabilityWSequential Transfer Mac...preprint / 2020Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceWScalable Spike Source L...preprint / 2022Equivariant Contrastive LearningWEquivariant Contrastive...preprint / 2022
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Akash Srivastava

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PaperSNLP: Layer-Parallel Inference via Structured Newton CorrectionsAuthorship / preprint / 2026PersonLigong HanCo-authorship / ResearcherPersonKai XuCo-authorship / ResearcherPersonHao WangCo-authorship / ResearcherPaperGenerative Ratio Matching NetworksAuthorship / preprint / 2020PaperClustering with a Reject Option: Interactive Clustering as Bayesian Prior ElicitationAuthorship / preprint / 2016PaperClustering with a Reject Option: Interactive Clustering as Bayesian Prior ElicitationAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 works

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