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Deep Bayesian Active Learning for Accelerating Stochastic Simulation., , , , , and . KDD, page 2559-2569. ACM, (2023)Disentangled Multi-Fidelity Deep Bayesian Active Learning., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 37624-37634. PMLR, (2023)Multi-fidelity Hierarchical Neural Processes., , , , and . KDD, page 2029-2038. ACM, (2022)Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints., , , , , , , , , and 1 other author(s). CoRR, (2024)DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting., , , , , , and . CoRR, (2021)Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization., , , , and . CoRR, (2024)Quantifying Uncertainty in Deep Spatiotemporal Forecasting., , , , , , and . KDD, page 1841-1851. ACM, (2021)DeepViFi: detecting oncoviral infections in cancer genomes using transformers., , , , , , and . BCB, page 2:1-2:8. ACM, (2022)Accelerating Stochastic Simulation with Interactive Neural Processes., , , , and . CoRR, (2021)Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes., , , , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 415-423. PMLR, (2024)