Summary of Novel Representation Learning Technique Using Graphs For Performance Analytics, by Tarek Ramadan et al.
Novel Representation Learning Technique using Graphs for Performance Analyticsby Tarek Ramadan, Ankur Lahiry, Tanzima Z.…
Summary of Beyond Rmse and Mae: Introducing Eauc to Unmask Hidden Bias and Unfairness in Dyadic Regression Models, by Jorge Paz-ruza et al.
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression…
Summary of Early Prediction Of Geomagnetic Storms by Machine Learning Algorithms, By Iris Yan
Early Prediction of Geomagnetic Storms by Machine Learning Algorithmsby Iris YanFirst submitted to arxiv on:…
Summary of Symbolnet: Neural Symbolic Regression with Adaptive Dynamic Pruning For Compression, by Ho Fung Tsoi et al.
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compressionby Ho Fung Tsoi, Vladimir Loncar,…
Summary of Applications Of Machine Learning to Optimizing Polyolefin Manufacturing, by Niket Sharma and Y.a. Liu
Applications of Machine Learning to Optimizing Polyolefin Manufacturingby Niket Sharma, Y.A. LiuFirst submitted to arxiv…
Summary of Gnn-lofi: a Novel Graph Neural Network Through Localized Feature-based Histogram Intersection, by Alessandro Bicciato et al.
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersectionby Alessandro Bicciato, Luca Cosmo,…
Summary of Said: Speech-driven Blendshape Facial Animation with Diffusion, by Inkyu Park et al.
SAiD: Speech-driven Blendshape Facial Animation with Diffusionby Inkyu Park, Jaewoong ChoFirst submitted to arxiv on:…
Summary of Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm, by Xintao Xia et al.
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithmby Xintao Xia, Linjun Zhang, Zhanrui CaiFirst…
Summary of A Survey on Statistical Theory Of Deep Learning: Approximation, Training Dynamics, and Generative Models, by Namjoon Suh and Guang Cheng
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Modelsby Namjoon…
Summary of Noise-aware Training Of Neuromorphic Dynamic Device Networks, by Luca Manneschi et al.
Noise-Aware Training of Neuromorphic Dynamic Device Networksby Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning,…