Summary of Diffusion-based Neural Network Weights Generation, by Bedionita Soro et al.
Diffusion-Based Neural Network Weights Generationby Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong,…
Summary of Sequentialattention++ For Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization, by Taisuke Yasuda et al.
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimizationby Taisuke Yasuda, Kyriakos Axiotis, Gang Fu,…
Summary of Multi-agent Deep Reinforcement Learning For Distributed Satellite Routing, by Federico Lozano-cuadra et al.
Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routingby Federico Lozano-Cuadra, Beatriz SoretFirst submitted to arxiv…
Summary of Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers, by Yiwei Lu et al.
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizersby Yiwei Lu, Yaoliang Yu, Xinlin…
Summary of Bit Distribution Study and Implementation Of Spatial Quality Map in the Jpeg-ai Standardization, by Panqi Jia et al.
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardizationby Panqi Jia,…
Summary of Super Consistency Of Neural Network Landscapes and Learning Rate Transfer, by Lorenzo Noci et al.
Super Consistency of Neural Network Landscapes and Learning Rate Transferby Lorenzo Noci, Alexandru Meterez, Thomas…
Summary of Bit Rate Matching Algorithm Optimization in Jpeg-ai Verification Model, by Panqi Jia et al.
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Modelby Panqi Jia, A. Burakhan Koyuncu, Jue…
Summary of Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting, by Daniel Iong et al.
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecastingby Daniel Iong,…
Summary of Efficient Backpropagation with Variance-controlled Adaptive Sampling, by Ziteng Wang et al.
Efficient Backpropagation with Variance-Controlled Adaptive Samplingby Ziteng Wang, Jianfei Chen, Jun ZhuFirst submitted to arxiv…
Summary of A Novel Image Space Formalism Of Fourier Domain Interpolation Neural Networks For Noise Propagation Analysis, by Peter Dawood et al.
A novel image space formalism of Fourier domain interpolation neural networks for noise propagation analysisby…