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Abrar Majeedi

2 accepted papers

2025

LETS Forecast: Learning Embedology for Time Series Forecasting

ICML 2025poster

Real-world time series are often governed by complex nonlinear dynamics. Understanding these underlying dynamics is crucial for precise future prediction. While deep learning has achieved major success in time series forecasting, many existing approaches do not explicitly model the dynamics. To brid…

2024

"RICA^2: Rubric-Informed, Calibrated Assessment of Actions"

ECCV 2024poster

"The ability to quantify how well an action is carried out, also known as action quality assessment (AQA), has attracted recent interest in the vision community. Unfortunately, prior methods often ignore the score rubric used by human experts and fall short of quantifying the uncertainty of the mode…