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Workshop
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Physics-guided Training of Neural Electromagnetic Wave Simulators with Time-reversal Consistency
Charles Dove · Jatearoon Boondicharern · Laura Waller
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Workshop
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Physics-informed DeepONet for battery state prediction
Keyan Guo
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Workshop
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Incremental learning for physics-informed neural networks
Aleksandr Dekhovich · Marcel Sluiter · David M.J. Tax · Miguel Bessa
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Poster
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Wed 15:00
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Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Woojin Cho · Kookjin Lee · Donsub Rim · Noseong Park
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Workshop
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PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2
Reza Akbarian Bafghi · Maziar Raissi
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Workshop
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Generalized One-Shot Transfer Learning of Linear Ordinary and Partial Differential Equations
Pavlos Protopapas · Hari Raval
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Poster
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Wed 8:45
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PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
Qianli Shen · Wai Hoh Tang · Zhun Deng · Apostolos Psaros · Kenji Kawaguchi
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Workshop
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A Physics-Informed Variational Autoencoder for Rapid Galaxy Inference and Anomaly Detection
Alex Gagliano · Ashley Villar
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Poster
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Wed 15:00
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Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh · Laurence Perreault-Levasseur · Johannes Brandstetter · Max Welling · Siamak Ravanbakhsh
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Poster
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Wed 15:00
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Separable Physics-Informed Neural Networks
Junwoo Cho · Seungtae Nam · Hyunmo Yang · Seok-Bae Yun · Youngjoon Hong · Eunbyung Park
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Workshop
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Gradient weighted physics-informed neural networks for capturing shocks in porous media flows
Somiya Kapoor · Abhishek Chandra · Taniya Kapoor · Mitrofan Curti
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Workshop
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ELUQuant: Event-Level Uncertainty Quantification using Physics-Informed Bayesian Neural Networks with Flow approximated Posteriors - A DIS Study
Cristiano Fanelli · James Giroux
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