4 citations · 5 across the 4 of their papers we have counts for
4 papers
Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
Iman Deznabi, Peeyush Kumar, Madalina Fiterau
Zero-shot forecasting aims to predict outcomes for previously unseen conditions without direct historical data, posing a significant challenge for traditional forecasting methods.…
Zero-shot Microclimate Prediction with Deep Learning
Iman Deznabi, Peeyush Kumar, Madalina Fiterau
Weather station data is a valuable resource for climate prediction, however, its reliability can be limited in remote locations. To compound the issue, making local predictions oft…
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction
Iman Deznabi, Madalina Fiterau
The analysis of multivariate time series data is challenging due to the various frequencies of signal changes that can occur over both short and long terms. Furthermore, standard d…
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan +4
Missing values, irregularly collected samples, and multi-resolution signals commonly occur in multivariate time series data, making predictive tasks difficult. These challenges are…