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gaussian process (3) generative model (2) kernel learning (2) bayesian inference (2) gaussian markov random field (1) spatial clustering (1) hierarchical extension (1) distribution learning (1) determinantal point process (1) convolutional neural network (1)

Papers

Consistent Validation for Predictive Methods in Spatial Settings AISTATS 2025 Topology-Guided Multi-Class Cell Context Generation for Digital Pathology CVPR 2023 Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022 Deep Gaussian Markov Random Fields ICML 2020 Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor NeurIPS 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019 Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017 TweetGeo - A Tool for Collecting, Processing and Analysing Geo-encoded Linguistic Data COLING 2016 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015 Learning the Parameters of Determinantal Point Process Kernels ICML 2014 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011