A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trendsby Abolfazl Younesi,…
Deep Networks Always Grok and Here is Whyby Ahmed Imtiaz Humayun, Randall Balestriero, Richard BaraniukFirst…
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning…
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Predictionby Yan Luo, Zhuoyue…
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networksby Christian Moya, Amirhossein Mollaali,…
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groupsby Sourya Basu,…
Calibration of Deep Learning Classification Models in fNIRSby Zhihao Cao, Zizhou LuoFirst submitted to arxiv…
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Databy Tongyi Liang, Han-Xiong LiFirst submitted to…
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competitionby Yufei…
Deep Coupling Network For Multivariate Time Series Forecastingby Kun Yi, Qi Zhang, Hui He, Kaize…