Machine Learning · Statistics
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Subhayan De, Matthew Reynolds, Malik Hassanaly, Ryan N. King +1
2022-08-22
Soft Condensed Matter · Physics
A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions
Mihir Durve, Fabio Bonaccorso, Andrea Montessori, Marco Lauricella +2
2021-10-04
Machine Learning · Computer Science
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
2021-06-21
Machine Learning · Computer Science
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
Jan Blechschmidt, Tom-Christian Riemer, Max Winkler, Martin Stoll +1
2025-05-08
Computational Engineering, Finance, and Science · Computer Science
Mesh deformation techniques in fluid-structure interaction: robustness, accumulated distortion and computational efficiency
Alexander Shamanskiy, Bernd Simeon
2020-06-26
Biological Physics · Physics
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai
2024-11-19
Machine Learning · Computer Science
Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Ellery Rajagopal, Anantha N. S. Babu, Tony Ryu, Patrick J. Haley +2
2025-12-02
Computer Vision and Pattern Recognition · Computer Science
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
Nianjin Ye, Chuan Wang, Shuaicheng Liu, Lanpeng Jia +2
2019-12-12
Data Analysis, Statistics and Probability · Physics
Geometric deep learning reveals the spatiotemporal fingerprint of microscopic motion
Jesús Pineda, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Noé +3
2023-11-29
Numerical Analysis · Mathematics
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations
Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid +1
2024-02-27
Graphics · Computer Science
Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
He Wang, Edmond S. L. Ho, Hubert P. H. Shum, Zhanxing Zhu
2019-08-21
Computational Physics · Physics
Operator learning for predicting multiscale bubble growth dynamics
Chensen Lin, Zhen Li, Lu Lu, Shengze Cai +2
2021-03-31
Machine Learning · Computer Science
On Optimizing the Communication of Model Parallelism
Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li +5
2024-08-20
Computer Vision and Pattern Recognition · Computer Science
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang +2
2018-05-10
Computational Engineering, Finance, and Science · Computer Science
Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels
Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty
2026-04-06
Numerical Analysis · Mathematics
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
Amanda A. Howard, Mauro Perego, George E. Karniadakis, Panos Stinis
2023-11-22
Neural and Evolutionary Computing · Computer Science
Deep memetic models for combinatorial optimization problems: application to the tool switching problem
Jhon Edgar Amaya, Carlos Cotta, Antonio J. Fernández-Leiva, Pablo García-Sánchez
2024-11-05
Numerical Analysis · Mathematics
Deep Multiscale Model Learning
Yating Wang, Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +1
2018-06-14