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Workshop
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Fri 13:50
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Information-Theoretic Generalization Error Bound of Deep Neural Networks
Haiyun He · Christina Yu · Ziv Goldfeld
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Workshop
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Fri 12:40
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Information-Theoretic Generalization Error Bound of Deep Neural Networks
Haiyun He · Christina Yu · Ziv Goldfeld
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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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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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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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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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Physics-informed neural networks with unknown measurement noise
Philipp Pilar · Niklas Wahlström
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Workshop
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PINNs-Torch: Enhancing Speed and Usability of Physics-Informed Neural Networks with PyTorch
Reza Akbarian Bafghi · Maziar Raissi
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Workshop
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Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces
Ujjal Dutta · Aldo Lipani · Chuan Wang · Yukun Hu
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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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Workshop
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Generating Data Augmentation Queries Using Large Language Models
Christopher Buss · Jasmin Mousavi · Mikhail Tokarev · Arash Termehchy · David Maier · Stefan Lee
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Workshop
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CP-PINNs: Changepoints Detection in PDEs using Physics Informed Neural Networks with Total-Variation Penalty
Zhikang Dong · Pawel Polak
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