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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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Workshop
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Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks
Kazuki Irie · Jürgen Schmidhuber
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Workshop
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Reconstruction-guided attention improves the robustness and shape processing of neural networks
Seoyoung Ahn · Hossein Adeli · Greg Zelinsky
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Poster
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Wed 14:00
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Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen · Wei Huang · Xinyu Gong · Boris Hanin · Zhangyang Wang
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Poster
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Wed 9:00
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Globally Gated Deep Linear Networks
Qianyi Li · Haim Sompolinsky
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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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Tue 9:00
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Block-Recurrent Transformers
DeLesley Hutchins · Imanol Schlag · Yuhuai Wu · Ethan Dyer · Behnam Neyshabur
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Workshop
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Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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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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Workshop
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Renormalization in the neural network-quantum field theory correspondence
Harold Erbin · Vincent Lahoche · Dine Ousmane Samary
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Affinity Workshop
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Graph Convolutional Neural Network-based Quality Assessment of Light Field Images
Sana Alamgeer
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