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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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SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
Jianhao Ding · Tong Bu · Zhaofei Yu · Tiejun Huang · Jian Liu
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Workshop
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Exact Gradient Computation for Spiking Neural Networks
Jane Lee · Saeid Haghighatshoar · Amin Karbasi
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Poster
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Tue 9:00
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LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
SIQI WANG · Tee Hiang Cheng · Meng-Hiot Lim
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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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Thu 14:00
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Training Spiking Neural Networks with Local Tandem Learning
Qu Yang · Jibin Wu · Malu Zhang · Yansong Chua · Xinchao Wang · Haizhou Li
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Poster
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Tue 9:00
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Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Hao Zheng · Hui Lin · Rong Zhao · Luping Shi
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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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Affinity Workshop
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Graph Convolutional Neural Network-based Quality Assessment of Light Field Images
Sana Alamgeer
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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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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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