Hasson, Hilaf

6 publications

AISTATS 2023 But Are You Sure? an Uncertainty-Aware Perspective on Explainable AI Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Luke Huan

ICLR 2023 Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan

ICML 2023 Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park

NeurIPSW 2022 But Are You Sure? Quantifying Uncertainty in Model Explanations Charles Thomas Marx, Youngsuk Park, Hilaf Hasson, Bernie Wang, Stefano Ermon, Luke Huan

NeurIPS 2021 Probabilistic Forecasting: A Level-Set Approach Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus

NeurIPS 2020 Normalizing Kalman Filters for Multivariate Time Series Analysis Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski