Narayan, Akil

7 publications

TMLR 2026 Kernel Neural Operators (KNOs) for Scalable, Memory-Efficient, Geometrically-Flexible Operator Learning Matthew Lowery, John Turnage, Zachary Morrow, John Davis Jakeman, Akil Narayan, Shandian Zhe, Varun Shankar

ICML 2025 Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation Da Long, Zhitong Xu, Guang Yang, Akil Narayan, Shandian Zhe

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

ICML 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe

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

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

ICML 2022 Nonparametric Embeddings of Sparse High-Order Interaction Events Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe