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Workshop
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Sat 9:00
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Towards physics-informed deep learning for turbulent flow prediction
Rose Yu
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Poster
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Thu 10:45
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Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz · Alina Dubatovka
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Poster
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Wed 17:00
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A Solvable High-Dimensional Model of GAN
Chuang Wang · Hong Hu · Yue Lu
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Poster
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Wed 17:00
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Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
Lorenzo Dall'Amico · Romain Couillet · Nicolas Tremblay
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Poster
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Thu 10:45
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Generalization in multitask deep neural classifiers: a statistical physics approach
Anthony Ndirango · Tyler Lee
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Poster
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Wed 17:00
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Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis
Yuki Yoshida · Masato Okada
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Workshop
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Sat 17:00
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Learning Symbolic Physics with Graph Networks
Miles Cranmer
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Poster
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Wed 17:00
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Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Shuyue Hu · Chin-wing Leung · Ho-fung Leung
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Workshop
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Fri 9:30
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Peter Battaglia: Graph Networks for Learning Physics
Peter Battaglia
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Workshop
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Fri 12:00
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Conclusion on TrackML, a Particle Physics Tracking Machine Learning Challenge Combining Accuracy and Inference Speed
David Rousseau · jean-roch vlimant
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Poster
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Wed 10:45
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Accurate Layerwise Interpretable Competence Estimation
Vickram Rajendran · William LeVine
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Poster
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Wed 17:00
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Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
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