Summary of Stochastic Gradient Descent For Two-layer Neural Networks, by Dinghao Cao et al.
Stochastic Gradient Descent for Two-layer Neural Networksby Dinghao Cao, Zheng-Chu Guo, Lei ShiFirst submitted to…
Stochastic Gradient Descent for Two-layer Neural Networksby Dinghao Cao, Zheng-Chu Guo, Lei ShiFirst submitted to…
Split Conformal Prediction under Data Contaminationby Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine ReinertFirst submitted…
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulationsby Pradeep Bajracharya, Javier Quetzalcóatl…
RotRNN: Modelling Long Sequences with Rotationsby Kai Biegun, Rares Dolga, Jake Cunningham, David BarberFirst submitted…
Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learningby A. Ali Heydari, Naghmeh Rezaei, Javier…
Causal Discovery-Driven Change Point Detection in Time Seriesby Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan…
Identification of emotions on Twitter during the 2022 electoral process in Colombiaby Juan Jose Iguaran…
Causal Discovery in Semi-Stationary Time Seriesby Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi,…
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecastingby Luoxiao Yang, Yun Wang, Xinqi…
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated…