Kirby, Robert

16 publications

AISTATS 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels Da Long, Wei Xing, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael W. Mahoney

AISTATS 2024 Multi-Resolution Active Learning of Fourier Neural Operators Shibo Li, Xin Yu, Wei Xing, Robert Kirby, Akil Narayan, Shandian Zhe

NeurIPSW 2023 CircuitVAE: Efficient and Scalable Latent Circuit Optimization Jialin Song, Aidan Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro

AISTATS 2023 Meta-Learning with Adjoint Methods Shibo Li, Zheng Wang, Akil Narayan, Robert Kirby, Shandian Zhe

AISTATS 2022 Deep Multi-Fidelity Active Learning of High-Dimensional Outputs Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe

AISTATS 2022 Physics Informed Deep Kernel Learning Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe

ICML 2022 AutoIP: A United Framework to Integrate Physics into Gaussian Processes Da Long, Zheng Wang, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael Mahoney

NeurIPS 2022 Batch Multi-Fidelity Active Learning with Budget Constraints Shibo Li, Jeff M Phillips, Xin Yu, Robert Kirby, Shandian Zhe

ICML 2022 Bayesian Continuous-Time Tucker Decomposition Shikai Fang, Akil Narayan, Robert Kirby, Shandian Zhe

ICML 2022 Decomposing Temporal High-Order Interactions via Latent ODEs Shibo Li, Robert Kirby, Shandian Zhe

NeurIPS 2022 Infinite-Fidelity Coregionalization for Physical Simulation Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe

AISTATS 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe

NeurIPS 2021 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks Shibo Li, Robert Kirby, Shandian Zhe

NeurIPS 2021 Characterizing Possible Failure Modes in Physics-Informed Neural Networks Aditi Krishnapriyan, Amir Gholami, Shandian Zhe, Robert Kirby, Michael W. Mahoney

NeurIPS 2020 Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li, Wei Xing, Robert Kirby, Shandian Zhe

ECCV 2018 SDC-Net: Video Prediction Using Spatially-Displaced Convolution Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro