Results

Poster	Wed 9:00	A Quantitative Geometric Approach to Neural-Network Smoothness Zi Wang · Gautam Prakriya · Somesh Jha
Expo Demonstration	Mon 8:00	Software-Delivered AI: Using Sparse-Quantization for Fastest Inference on Deep Neural Networks Mark J Kurtz
Poster	Tue 9:00	Wavelet Feature Maps Compression for Image-to-Image CNNs Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister
Poster	Tue 14:00	ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences Ting-An Chen · De-Nian Yang · Ming-syan Chen
Workshop		Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction Nitzan Avidan · Moti Freiman
Workshop	Fri 3:50	Post-Training Neural Network Compression With Variational Bayesian Quantization Zipei Tan · Robert Bamler
Workshop		Post-Training Neural Network Compression With Variational Bayesian Quantization Zipei Tan · Robert Bamler
Affinity Workshop	Mon 8:50	Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models. Jean-Rassaire Fouefack
Workshop		Neural Network-based Real-Time Parameter Estimation in Electrochemical Sensors with Unknown Confounding Factors Sarthak Jariwala
Workshop		Renormalization in the neural network-quantum field theory correspondence Harold Erbin · Vincent Lahoche · Dine Ousmane Samary
Affinity Workshop		Graph Convolutional Neural Network-based Quality Assessment of Light Field Images Sana Alamgeer
Affinity Workshop		Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models Jean-Rassaire Fouefack