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Workshop
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Clustering Behaviour of Physics-Informed Neural Networks: Inverse Modeling of An Idealized Ice Shelf
Yunona Iwasaki · Ching-Yao Lai
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Workshop
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Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Daniel Kelshaw · Georgios Rigas · Luca Magri
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Poster
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Thu 14:00
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NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Jiaqi Gu · Zhengqi Gao · Chenghao Feng · Hanqing Zhu · Ray Chen · Duane Boning · David Pan
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Poster
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Thu 14:00
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Is L2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
Chuwei Wang · Shanda Li · Di He · Liwei Wang
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Poster
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Thu 14:00
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Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
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Poster
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Wed 14:00
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Physically-Based Face Rendering for NIR-VIS Face Recognition
Yunqi Miao · Alexandros Lattas · Jiankang Deng · Jungong Han · Stefanos Zafeiriou
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Poster
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Tue 14:00
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Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
Abishek Thangamuthu · Gunjan Kumar · Suresh Bishnoi · Ravinder Bhattoo · N M Anoop Krishnan · Sayan Ranu
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Poster
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Tue 9:00
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Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma · Varun Shankar
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Workshop
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Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie · NAOTO MITSUME
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Workshop
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Aboveground carbon biomass estimate with Physics-informed deep network
Juan Nathaniel · · Campbell Watson · Gabrielle Nyirjesy · Conrad Albrecht
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Workshop
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Fri 13:15
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Rose Yu: "Physics-Guided Deep Learning for Climate Science"
Rose Yu
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Workshop
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GAN-Flow: A dimension-reduced variational framework for physics-based inverse problems
Agnimitra Dasgupta · Dhruv Patel · Deep Ray · Erik Johnson · Assad Oberai
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