Suzuki-invariant codes from the Suzuki curve. - Abdulla Eid; Hilaf Hasson; Amy Ksir; Justin D. Peachey (Des. Codes Cryptogr., 2016)

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 (NeurIPS, 2020)

Probabilistic Forecasting: A Level-Set Approach. - Hilaf Hasson; Bernie Wang 001; Tim Januschowski; Jan Gasthaus (NeurIPS, 2021)

Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR. - Dheeraj Baby; Hilaf Hasson; Yuyang Wang 001 (CoRR, 2021)

8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. - Sanjay Purushotham; Jun Huan; Cong Shen 001; Dongjin Song; Yuyang Wang 001; Jan Gasthaus; Hilaf Hasson; Youngsuk Park; Sungyong Seo; Yuriy Nevmyvaka (KDD, 2022)

Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. - Linbo Liu; Youngsuk Park; Trong Nghia Hoang; Hilaf Hasson; Jun Huan (CoRR, 2022)

But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI. - Charles Marx; Youngsuk Park; Hilaf Hasson; Yuyang Wang 001; Stefano Ermon; Luke Huan (AISTATS, 2023)

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

Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. - Hilaf Hasson; Danielle C. Maddix; Bernie Wang 001; Gaurav Gupta; Youngsuk Park (ICML, 2023)

Testing Causality for High Dimensional Data. - Arun Jambulapati; Hilaf Hasson; Youngsuk Park; Yuyang Wang 001 (CoRR, 2023)

HyQE: Ranking Contexts with Hypothetical Query Embeddings. - Weichao Zhou; Jiaxin Zhang; Hilaf Hasson; Anu Singh; Wenchao Li 001 (EMNLP (Findings), 2024)

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation. - Shijun Li 002; Hilaf Hasson; Jing Hu; Joydeep Ghosh (CoRR, 2024)

OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent Collaboration. - Shijun Li 002; Hilaf Hasson; Joydeep Ghosh (CoRR, 2025)