informed neural networks

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶Paris Perdikaris - PirateNets: Physics informed Deep Learning with Residual Adaptive NetworksPhysics-informed machine learning meets engineering seminar seriesNotes
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2. 2▶Tobias Heinrich Nagel - Kalman Bucy informed Neural Networks for System IdentificationPhysics-informed machine learning meets engineering seminar seriesNotes
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3. 3▶Sascha Ranftl - A Connection between Probability, Physics and Neural NetworkPhysics-informed machine learning meets engineering seminar seriesNotes
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4. 4▶Thomas Markovich - Quantum Diffusion Convolution Kernels on GraphsPhysics-informed machine learning meets engineering seminar seriesNotes
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5. 5▶Ameya Jagtap Enhancing Scientific Computing Through Physics informed Neural NetworksPhysics-informed machine learning meets engineering seminar seriesNotes
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6. 6▶Karan Taneja - Feature Encoded and Multi-Resolution Physics-Informed Machine Learning Approaches...Physics-informed machine learning meets engineering seminar seriesNotes
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7. 7▶Hongbo Zhao - Learning Battery Physics from ImagesPhysics-informed machine learning meets engineering seminar seriesNotes
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8. 8▶Jan Olle - Discovering Quantum Error Correcting Codes with Reinforcement LearningPhysics-informed machine learning meets engineering seminar seriesNotes
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9. 9▶Nathan Kutz - The Dynamic Mode Decomposition - A Data-Driven AlgorithmPhysics-informed machine learning meets engineering seminar seriesNotes
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10. 10▶Cristian Axenie - Physics-informed Machine Learning for Robust Pedestrian DetectionPhysics-informed machine learning meets engineering seminar seriesNotes
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11. 11▶Chris Rackauckas - Generalizing Scientific Machine Learning and Differentiable SimulationPhysics-informed machine learning meets engineering seminar seriesNotes
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12. 12▶Morten Mattrup Smedskjær - Cracking the CodePhysics-informed machine learning meets engineering seminar seriesNotes
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13. 13▶Arnaud Vadeboncoeur - On Random Grid Neural Processes for Solving Forward and Inverse ProblemsPhysics-informed machine learning meets engineering seminar seriesNotes
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14. 14▶Maldon Goodridge - A rare event study of frequency regulation and contingency services...Physics-informed machine learning meets engineering seminar seriesNotes
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15. 15▶Jonathan Smith - HypoSVI: Earthquake hypocentre inversion with Stein variational inference...Physics-informed machine learning meets engineering seminar seriesNotes
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