Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling

Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling

27 April 2025

Levent Burak Kara

Papers citing "Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling"

17 / 17 papers shown

Title
Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes Kevin Ferguson Yu-hsuan Chen Yiming Chen Andrew Gillman James Hardin Levent Burak Kara AI4CE 54 2 0 08 Oct 2024
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation Yu-hsuan Chen Jonathan Cagan Levent Burak Kara 62 2 0 18 Jun 2024
Transolver: A Fast Transformer Solver for PDEs on General Geometries Haixu Wu Huakun Luo Haowen Wang Jianmin Wang Mingsheng Long AI4CE 74 52 0 04 Feb 2024
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design Jian Cheng Wong C. Ooi Joyjit Chattoraj Lucas Lestandi Guoying Dong Umesh Kizhakkinan D. W. Rosen M. Jhon M. Dao AI4CE PINN 47 9 0 01 Feb 2023
Self-Supervised Representation Learning for CAD Benjamin T. Jones Michael Hu Vladimir G. Kim Adriana Schulz SSL AI4CE 37 19 0 19 Oct 2022
Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization Soyoung Yoo Namwoo Kang 21 70 0 28 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 50 761 0 07 Oct 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 89 2,395 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 96 2,516 0 17 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 498 41,106 0 28 May 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density Ronen Basri Meirav Galun Amnon Geifman David Jacobs Yoni Kasten S. Kritchman 61 184 0 10 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 210 18,607 0 13 Feb 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 406 24,160 0 26 Jul 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 93 3,654 0 16 Jan 2019
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 94 1,408 0 22 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 196 3,272 0 21 Mar 2018
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 48 5,277 0 25 Apr 2016