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Poster
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Tue 9:00
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Hierarchical Lattice Layer for Partially Monotone Neural Networks
Hiroki Yanagisawa · Kohei Miyaguchi · Takayuki Katsuki
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Poster
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Wed 9:00
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A Quantitative Geometric Approach to Neural-Network Smoothness
Zi Wang · Gautam Prakriya · Somesh Jha
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Poster
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Wed 14:00
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Learning Partial Equivariances From Data
David W. Romero · Suhas Lohit
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Poster
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Wed 14:00
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Invertible Monotone Operators for Normalizing Flows
Byeongkeun Ahn · Chiyoon Kim · Youngjoon Hong · Hyunwoo Kim
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Poster
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Thu 14:00
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Size and depth of monotone neural networks: interpolation and approximation
Dan Mikulincer · Daniel Reichman
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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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Workshop
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PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof · Eldad Haber · Eran Treister
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Poster
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M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song · Mingrui Zhang · Joseph G Wallwork · Junpeng Gao · Zheng Tian · Fanglei Sun · Matthew Piggott · Junqing Chen · Zuoqiang Shi · Xiang Chen · Jun Wang
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Workshop
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Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
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Poster
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Wed 14:00
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AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari
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Affinity Workshop
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Mon 8:50
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Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models.
Jean-Rassaire Fouefack
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Poster
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Tue 9:00
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Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy · Shogo Iwazaki · Ichiro Takeuchi
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