A foundational neural operator that continuously learns without forgetting

29 October 2023

Papers citing "A foundational neural operator that continuously learns without forgetting"

10 / 10 papers shown

Title
Panda: A pretrained forecast model for universal representation of chaotic dynamics Jeffrey Lai Anthony Bao William Gilpin AI4TS AI4CE 12 0 0 19 May 2025
Harnessing physics-informed operators for high-dimensional reliability analysis problems N Navaneeth Tushar Souvik Chakraborty AI4CE 40 0 0 07 Sep 2024
Strategies for Pretraining Neural Operators Anthony Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 46 6 0 12 Jun 2024
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator Hartej Soin Tapas Tripura Souvik Chakraborty 24 3 0 11 May 2024
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations Sawan Kumar R. Nayek Souvik Chakraborty 40 2 0 24 Apr 2024
Masked Autoencoders are PDE Learners Anthony Zhou A. Farimani AI4CE 38 7 0 26 Mar 2024
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data Jyoti Rani Tapas Tripura H. Kodamana Souvik Chakraborty 35 5 0 08 Jan 2024
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 126 202 0 28 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 340 3,726 0 11 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 268 2,309 0 18 Oct 2020