Maddix, Danielle

5 publications

NeurIPS 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang Wang

AISTATS 2022 Learning Quantile Functions Without Quantile Crossing for Distribution-Free Time Series Forecasting Youngsuk Park, Danielle Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang

ICML 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin, Youngsuk Park, Danielle Maddix, Hao Wang, Yuyang Wang

L4DC 2021 Bridging Physics-Based and Data-Driven Modeling for Learning Dynamical Systems Rui Wang, Danielle Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu

ICML 2019 Deep Factors for Forecasting Yuyang Wang, Alex Smola, Danielle Maddix, Jan Gasthaus, Dean Foster, Tim Januschowski