Danielle Maddix
Cited by
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GluonTS: Probabilistic and Neural Time Series Modeling in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
Journal of Machine Learning Research 21 (116), 1-6, 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
K Benidis, SS Rangapuram, V Flunkert, Y Wang, D Maddix, C Turkmen, ...
ACM Computing Surveys (CSUR), 2018
Deep factors for forecasting
Y Wang, A Smola, D Maddix, J Gasthaus, D Foster, T Januschowski
International conference on machine learning, 6607-6617, 2019
Domain adaptation for time series forecasting via attention sharing
X Jin, Y Park, D Maddix, H Wang, Y Wang
International Conference on Machine Learning, 10280-10297, 2022
Bridging physics-based and data-driven modeling for learning dynamical systems
R Wang, D Maddix, C Faloutsos, Y Wang, R Yu
Learning for dynamics and control, 385-398, 2021
Deep factors with gaussian processes for forecasting
DC Maddix, Y Wang, A Smola
arXiv preprint arXiv:1812.00098 10, 2018
Learning Physical Models that Can Respect Conservation Laws
D Hansen, DC Maddix, S Alizadeh, G Gupta, MW Mahoney
Physica D: Nonlinear Phenomena 457 (133952), 2024
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Y Park, D Maddix, FX Aubet, K Kan, J Gasthaus, Y Wang
International Conference on Artificial Intelligence and Statistics 151, 8127 …, 2022
Chronos: Learning the language of time series
AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ...
arXiv preprint arXiv:2403.07815, 2024
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
X Zhang, X Jin, K Gopalswamy, G Gupta, Y Park, X Shi, H Wang, ...
NeurIPS'22 Workshop on All Things Attention: Bridging Different Perspectives …, 2022
Prediff: Precipitation nowcasting with latent diffusion models
Z Gao, X Shi, B Han, H Wang, X Jin, D Maddix, Y Zhu, M Li, YB Wang
Advances in Neural Information Processing Systems 36, 2024
Guiding continuous operator learning through Physics-based boundary constraints
N Saad, G Gupta, S Alizadeh, DC Maddix
International Conference on Learning Representations, 2023
Numerical Artifacts in the Generalized Porous Medium Equation: Why Harmonic Averaging Itself Is Not to Blame
D Maddix, M Gerritsen, L Sampaio
Journal of Computational Physics 361, 280-298, 2018
Advanced Fluid Reduced Order Models for Compressible Flow.
IK Tezaur, JA Fike, KT Carlberg, MF Barone, D Maddix, EE Mussoni, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
Numerical artifacts in the discontinuous Generalized Porous Medium Equation: How to avoid spurious temporal oscillations
DC Maddix, L Sampaio, M Gerritsen
Journal of Computational Physics 368, 277-298, 2018
Learning Dynamical Systems Requires Rethinking Generalization
R Wang, D Maddix, C Faloutsos, W Yuyang, R Yu
Interpretable Inductive Bias and Physically Structured Learning NeurIPS Workshop, 2020
Diagnosing malignant versus benign breast tumors via machine learning techniques in high dimensions
DC Maddix
Stanford Univ., Stanford, CA, USA, Tech. Rep, 2014
Minres: Sparse symmetric equations
CC Paige, MA Saunders, SC Choi, D Orban, UE Villa, D Maddix, S Regev
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow
DC Maddix, N Saad, Y Wang
Machine Learning and the Physical Sciences (MLPS) NeurIPS 2021 Workshop, 2021
Cross-Frequency Time Series Meta-Forecasting
M Van Ness, H Shen, H Wang, X Jin, DC Maddix, K Gopalswamy
arXiv preprint arXiv:2302.02077, 2023
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