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ORCIDHilaf Hasson
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2020 – today
- 2024
[c7]Weichao Zhou, Jiaxin Zhang, Hilaf Hasson, Anu Singh, Wenchao Li:
HyQE: Ranking Contexts with Hypothetical Query Embeddings. EMNLP (Findings) 2024: 13014-13032- [i5]Weichao Zhou, Jiaxin Zhang, Hilaf Hasson, Anu Singh, Wenchao Li:
HyQE: Ranking Contexts with Hypothetical Query Embeddings. CoRR abs/2410.15262 (2024) - 2023
- [c6]Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Luke Huan:
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI. AISTATS 2023: 7375-7391 - [c5]Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan:
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. ICLR 2023 - [c4]Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park:
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. ICML 2023: 12616-12632 - [i4]Arun Jambulapati, Hilaf Hasson, Youngsuk Park, Yuyang Wang:
Testing Causality for High Dimensional Data. CoRR abs/2303.07774 (2023) - [i3]Hilaf Hasson, Danielle C. Maddix, Yuyang Wang, Gaurav Gupta, Youngsuk Park:
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. CoRR abs/2305.15786 (2023) - 2022
- [c3]Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka:
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD 2022: 4896-4897 - [i2]Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan:
Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. CoRR abs/2207.09572 (2022) - 2021
- [c2]Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus:
Probabilistic Forecasting: A Level-Set Approach. NeurIPS 2021: 6404-6416 - [i1]Dheeraj Baby, Hilaf Hasson, Yuyang Wang:
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR. CoRR abs/2111.11550 (2021) - 2020
- [c1]Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski:
Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS 2020
2010 – 2019
- 2016
- [j1]Abdulla Eid, Hilaf Hasson
, Amy Ksir, Justin D. Peachey:
Suzuki-invariant codes from the Suzuki curve. Des. Codes Cryptogr. 81(3): 413-425 (2016)
Coauthor Index
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