Summary of Syno: Structured Synthesis For Neural Operators, by Yongqi Zhuo et al.
Syno: Structured Synthesis for Neural Operatorsby Yongqi Zhuo, Zhengyuan Su, Chenggang Zhao, Mingyu GaoFirst submitted…
Summary of Neural Network Matrix Product Operator: a Multi-dimensionally Integrable Machine Learning Potential, by Kentaro Hino and Yuki Kurashige
Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potentialby Kentaro Hino, Yuki KurashigeFirst…
Summary of Deep Convolutional Neural Networks on Multiclass Classification Of Three-dimensional Brain Images For Parkinson’s Disease Stage Prediction, by Guan-hua Huang et al.
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson’s Disease Stage…
Summary of Automatically Learning Hybrid Digital Twins Of Dynamical Systems, by Samuel Holt and Tennison Liu and Mihaela Van Der Schaar
Automatically Learning Hybrid Digital Twins of Dynamical Systemsby Samuel Holt, Tennison Liu, Mihaela van der…
Summary of Dash: Warm-starting Neural Network Training in Stationary Settings Without Loss Of Plasticity, by Baekrok Shin et al.
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticityby Baekrok Shin, Junsoo…
Summary of Random Heterogeneous Neurochaos Learning Architecture For Data Classification, by Remya Ajai a S et al.
Random Heterogeneous Neurochaos Learning Architecture for Data Classificationby Remya Ajai A S, Nithin NagarajFirst submitted…
Summary of Estimating Neural Network Robustness Via Lipschitz Constant and Architecture Sensitivity, by Abulikemu Abuduweili and Changliu Liu
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivityby Abulikemu Abuduweili, Changliu LiuFirst submitted…
Summary of Understanding Representation Of Deep Equilibrium Models From Neural Collapse Perspective, by Haixiang Sun et al.
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspectiveby Haixiang Sun, Ye ShiFirst submitted…
Summary of Gradient-free Training Of Recurrent Neural Networks, by Erik Lien Bolager et al.
Gradient-free training of recurrent neural networksby Erik Lien Bolager, Ana Cukarska, Iryna Burak, Zahra Monfared,…
Summary of A Monte Carlo Framework For Calibrated Uncertainty Estimation in Sequence Prediction, by Qidong Yang et al.
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Predictionby Qidong Yang, Weicheng Zhu,…