firstbacksecondback
321 Results
|
Poster
|
Thu 4:30 |
Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification Yiming Meng · Ruikun Zhou · Amartya Mukherjee · Maxwell Fitzsimmons · Christopher Song · Jun Liu |
|
|
Workshop
|
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network Zesheng Liu · Maryam Rahnemoonfar |
||
|
Workshop
|
PINNACLE: PINN Adaptive ColLocation and Experimental points selection Gregory Kang Ruey Lau · Apivich Hemachandra · See-Kiong Ng · Bryan Kian Hsiang Low |
||
|
Workshop
|
On the metastability of learning algorithms in physics-informed neural networks: a case study on Schr\"{o}dinger operators Alessandro Selvitella |
||
|
Workshop
|
PIED: Physics-Informed Experimental Design For Inverse Problems Apivich Hemachandra · Gregory Kang Ruey Lau · See-Kiong Ng · Bryan Kian Hsiang Low |
||
|
Workshop
|
Geometry-informed Neural Networks Arturs Berzins · Andreas Radler · Sebastian Sanokowski · Sepp Hochreiter · Johannes Brandstetter |
||
|
Workshop
|
Parameter Tuning and Modeling of a Rotary Kiln using Physics-Informed Neural Networks Janak Patel · Vishal Jadhav · Anirudh Deodhar · Shirish Karande · Venkataramana Runkana |
||
|
Workshop
|
Equation identification for fluid flows via physics-informed neural networks Alexander New · Marisel Villafañe-Delgado · Charles Shugert |
||
|
Workshop
|
Accelerating Electron Dynamics Simulations through Machine Learned Time Propagators Karan Shah · Attila Cangi |
||
|
Poster
|
Tue 4:30 |
Efficient Error Certification for Physics-Informed Neural Networks Francisco Eiras · Adel Bibi · Rudy Bunel · Krishnamurthy Dvijotham · Phil Torr · M. Pawan Kumar |
|
|
Workshop
|
Euler operators for mis-specified physics-informed neural networks Charlie Cowen-Breen · Yongji Wang · Stephen Bates · Ching-Yao Lai |
||
|
Poster
|
Thu 2:30 |
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho · Minju Jo · Haksoo Lim · Kookjin Lee · Dongeun Lee · Sanghyun Hong · Noseong Park |