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Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework.

, and . CoRR, (2023)

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Bayesian Transformed Gaussian Processes., , , , and . Trans. Mach. Learn. Res., (2023)Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data., , and . IGARSS, page 4505-4508. IEEE, (2020)Variational Gaussian Processes with Decoupled Conditionals., , , , and . NeurIPS, (2023)Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework., and . CoRR, (2023)Scaling Gaussian Processes with Derivative Information Using Variational Inference., , , , and . NeurIPS, page 6442-6453. (2021)ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments., , , , and . PMBS@SC, page 1-12. IEEE, (2022)GPTune: multitask learning for autotuning exascale applications., , , , , , and . PPoPP, page 234-246. ACM, (2021)Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data., , , , , , , , and . Remote. Sens., 13 (3): 484 (2021)Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series., , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications., , , , and . PPSC, page 1-13. SIAM, (2022)