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Danielle Maddix
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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
300*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
214*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
1952019
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
552022
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
452021
Deep factors with gaussian processes for forecasting
DC Maddix, Y Wang, A Smola
arXiv preprint arXiv:1812.00098 10, 2018
382018
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
312022
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
162024
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
162022
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
112018
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
102017
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
82024
Guiding continuous operator learning through Physics-based boundary constraints
N Saad, G Gupta, S Alizadeh, DC Maddix
International Conference on Learning Representations, 2023
82023
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
82018
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
32020
Diagnosing malignant versus benign breast tumors via machine learning techniques in high dimensions
DC Maddix
Stanford Univ., Stanford, CA, USA, Tech. Rep, 2014
32014
Minres: Sparse symmetric equations
CC Paige, MA Saunders, SC Choi, D Orban, UE Villa, D Maddix, S Regev
32004
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
22021
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
12024
Machine Learning for Road Vehicle Aerodynamics Simulation
V Ananthan, N Ashton, N Chadwick, M Lizarraga, D Maddix, ...
SAE Technical Paper, 2024
2024
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Articles 1–20