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Erik Nijkamp
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Erik Nijkamp13 visible / 13 total nodes / 28 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipWorks onAuthorshipWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalErik NijkampAErik NijkampResearcherLearning from Language Feedback via Variational Policy DistillationWLearning from Language ...preprint / 2026Yang LiAYang LiResearcherSemih YavuzASemih YavuzResearcherShafiq JotyAShafiq JotyResearcherMCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMCWMCMC Should Mix: Learni...preprint / 2022ProGen2: Exploring the Boundaries of Protein Language ModelsWProGen2: Exploring the ...preprint / 2022Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate InferenceWLearning Multi-layer La...preprint / 2020Machine LearningTMachine Learning49008 worksLearning Probabilistic Models from Generator Latent Spaces with Hat EBMWLearning Probabilistic ...preprint / 2023Long Document Summarization with Top-down and Bottom-up InferenceWLong Document Summariza...preprint / 2022Joint Training of Variational Auto-Encoder and Latent Energy-Based ModelWJoint Training of Varia...preprint / 2020Flow Contrastive Estimation of Energy-Based ModelsWFlow Contrastive Estima...preprint / 2020
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Erik Nijkamp

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PaperLearning from Language Feedback via Variational Policy DistillationAuthorship / preprint / 2026PersonYang LiCo-authorship / ResearcherPersonSemih YavuzCo-authorship / ResearcherPersonShafiq JotyCo-authorship / ResearcherPaperMCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMCAuthorship / preprint / 2022PaperProGen2: Exploring the Boundaries of Protein Language ModelsAuthorship / preprint / 2022PaperLearning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate InferenceAuthorship / preprint / 2020TopicMachine LearningWorks on / 49008 works

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