FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model

23 April 2024

Papers citing "FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model"

24 / 24 papers shown

Title
Panda: A pretrained forecast model for universal representation of chaotic dynamics Jeffrey Lai Anthony Bao William Gilpin AI4TS AI4CE 88 0 0 19 May 2025
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text Cooper Lorsung Amir Barati Farimani AI4CE 141 2 0 02 Oct 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 225 7 0 24 Sep 2024
Can LLMs Solve longer Math Word Problems Better? Xin Xu Tong Xiao Zitong Chao Zhenya Huang Can Yang Yang Wang 103 14 0 23 May 2024
Hummer: Towards Limited Competitive Preference Dataset Li Jiang Yusen Wu Junwu Xiong Jingqing Ruan Yichuan Ding Qingpei Guo ZuJie Wen Jun Zhou Xiaotie Deng 80 7 0 19 May 2024
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding Hanshi Sun Zhuoming Chen Xinyu Yang Yuandong Tian Beidi Chen 91 61 0 18 Apr 2024
Can We Verify Step by Step for Incorrect Answer Detection? Xin Xu Shizhe Diao Can Yang Yang Wang LRM 219 15 0 16 Feb 2024
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models Mintong Kang Nezihe Merve Gürel Ning Yu D. Song Yue Liu 225 22 0 05 Feb 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 77 21 0 14 Jan 2024
Compressing Context to Enhance Inference Efficiency of Large Language Models Yucheng Li Bo Dong Chenghua Lin Frank Guerin 48 66 0 09 Oct 2023
A Finite Expression Method for Solving High-Dimensional Committor Problems Zezheng Song M. Cameron Haizhao Yang 33 6 0 21 Jun 2023
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 316 516 0 24 Sep 2022
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 102 166 0 26 May 2022
IAE-Net: Integral Autoencoders for Discretization-Invariant Learning Yong Zheng Ong Zuowei Shen Haizhao Yang 70 16 0 10 Mar 2022
Neural Galerkin Schemes with Active Learning for High-Dimensional Evolution Equations Joan Bruna Benjamin Peherstorfer Eric Vanden-Eijnden 57 67 0 02 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 814 9,387 0 28 Jan 2022
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 198 751 0 03 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 400 4,953 0 24 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 497 2,414 0 18 Oct 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 81 533 0 12 May 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 245 2,131 0 08 Oct 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 141 1,020 0 07 Dec 2017
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 121 1,387 0 30 Sep 2017