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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Expo Demonstration
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Mon 8:00
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Software-Delivered AI: Using Sparse-Quantization for Fastest Inference on Deep Neural Networks
Mark J Kurtz
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Poster
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Tue 9:00
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Wavelet Feature Maps Compression for Image-to-Image CNNs
Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister
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Poster
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Tue 14:00
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ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences
Ting-An Chen · De-Nian Yang · Ming-syan Chen
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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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Workshop
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Fri 3:50
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Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan · Robert Bamler
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Workshop
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Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan · Robert Bamler
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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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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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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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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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