2 papers
cs.LG2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Yuanjie Lu, Amarda Shehu, David Lattanzi
Traffic speed forecasting is an important task in intelligent transportation system management. The objective of much of the current computational research is to minimize the diffe…
cs.LG2024
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms
Toki Tahmid Inan, Mingrui Liu, Amarda Shehu
Despite an extensive body of literature on deep learning optimization, our current understanding of what makes an optimization algorithm effective is fragmented. In particular, we…