network inference

A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity ICML 2025 The Strong Product Model for Network Inference without Independence Assumptions AISTATS 2025 Tracking and Identifying International Propaganda and Influence Networks Online AAAI 2025 Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems JMLR 2024 Learning Diffusions under Uncertainty AAAI 2024 Enhancing Global Network Monitoring with Magnifier NSDI 2023 Estimating graphical models for count data with applications to single-cell gene network NeurIPS 2022 Neural Enhanced Dynamic Message Passing AISTATS 2022 The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks JMLR 2022 Two-way Sparse Network Inference for Count Data AISTATS 2022 Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems JMLR 2022 Diffusion Network Inference from Partial Observations AAAI 2021 Gene Regulatory Network Inference as Relaxed Graph Matching AAAI 2021 Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021 Network Inference and Influence Maximization from Samples ICML 2021 Inferring Degrees from Incomplete Networks and Nonlinear Dynamics IJCAI 2020 Learning Mixtures of Graphs from Epidemic Cascades ICML 2020 Sparse and low-rank multivariate Hawkes processes JMLR 2020 True Nonlinear Dynamics from Incomplete Networks AAAI 2020 Uncertainty Quantification for Inferring Hawkes Networks NeurIPS 2020 Deep Residual Learning in the JPEG Transform Domain ICCV 2019 Learning Diffusions without Timestamps AAAI 2019 Contextual Stochastic Block Models NeurIPS 2018 Counting Motifs with Graph Sampling COLT 2018 Dynamic Network Model from Partial Observations NeurIPS 2018