Random graphs containing arbitrary distributions of subgraphs von Karrer, Brian, Newman, M E J

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Design and Analysis of Experiments in Networks: Reducing Bias from Interference von Eckles, Dean, Karrer, Brian, Ugander, Johan

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Robustness of community structure in networks von Karrer, Brian, Levina, Elizaveta, Newman, M E J

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Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism von Wilkins, Arjun, Kifer, Daniel, Zhang, Danfeng, Karrer, Brian

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Large-scale measurement of aggregate human colocation patterns for epidemiological modeling von Iyer, Shankar, Karrer, Brian, Citron, Daniel T., Kooti, Farshad, Maas, Paige, Wang, Zeyu, Giraudy, Eugenia, Medhat, Ahmed, Dow, P. Alex, Pompe, Alex

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Constrained Bayesian Optimization with Noisy Experiments von Letham, Benjamin, Karrer, Brian, Ottoni, Guilherme, Bakshy, Eytan

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Efficient and principled method for detecting communities in networks von Ball, Brian, Karrer, Brian, Newman, M E J

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Percolation on sparse networks von Karrer, Brian, Newman, M E J, Zdeborová, Lenka

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Message passing approach for general epidemic models von Karrer, Brian, Newman, M. E. J.

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Competing epidemics on complex networks von Karrer, Brian, Newman, M E J

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Social hash partitioner: a scalable distributed hypergraph partitioner von Kabiljo, Igor, Karrer, Brian, Pundir, Mayank, Pupyrev, Sergey, Shalita, Alon

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Coauthorship and citation patterns in the Physical Review von Martin, Travis, Ball, Brian, Karrer, Brian, Newman, M E J

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Message passing approach for general epidemic models von Karrer, Brian, Newman, M E J

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Stochastic blockmodels and community structure in networks von Karrer, Brian, Newman, M E J

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Random graph models for directed acyclic networks von Karrer, Brian, Newman, M E J

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Random acyclic networks von Karrer, Brian, Newman, M E J

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Privately generating tabular data using language models von Sablayrolles, Alexandre, Wang, Yue, Karrer, Brian

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Sense and Sensitivity: Evaluating the simulation of social dynamics via Large Language Models von Ju, Da, Williams, Adina, Karrer, Brian, Nickel, Maximilian

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Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control von Domingo-Enrich, Carles, Drozdzal, Michal, Karrer, Brian, Chen, Ricky T. Q

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D-Flow: Differentiating through Flows for Controlled Generation von Ben-Hamu, Heli, Puny, Omri, Gat, Itai, Karrer, Brian, Singer, Uriel, Lipman, Yaron

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