1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
Håkon Hanisch Kjærnli, Lluis Mas-Ribas, Hans Jakob Håland +4
When deploying time series forecasting models based on machine learning to real world settings, one often encounter situations where the data distribution drifts. Such drifts expos…
cs.LG2022
Combinatorial optimization for low bit-width neural networks
Han Zhou, Aida Ashrafi, Matthew B. Blaschko
Low-bit width neural networks have been extensively explored for deployment on edge devices to reduce computational resources. Existing approaches have focused on gradient-based op…