2 papers
cs.RO2026
An Attention-based Model for Robust Forecasting with Missing Modality
Zhitian Zhang, Wenjie Zi, Yunduz Rakhmangulova +3
Learning with missing modalities is a fundamental challenge in multimodal robot learning, as real-world robotic systems often operate in environments with incomplete sensor data. A…
cs.LG2025
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
Heitor R. Medeiros, Hossein Sharifi-Noghabi, Gabriel L. Oliveira +1
Real-world time series often exhibit a non-stationary nature, degrading the performance of pre-trained forecasting models. Test-Time Adaptation (TTA) addresses this by adjusting mo…