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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, D. Maddix, and Y. Wang. CoRR, (2022)

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Danielle Hartung

Berufsspezifische arbeits- und ernährungsbedingte Herz-Kreislauf-Risiken sowie präventive MaßnahmenD. Hartung. Uni Jena, (2009)

Danielle Dennewald

Danielle Lemaire

Danielle Lauer

Danielle Hoja

Other publications of authors with the same name

Numerical artifacts in the discontinuous Generalized Porous Medium Equation: How to avoid spurious temporal oscillations.D. Maddix, L. Sampaio, and M. Gerritsen. J. Comput. Phys., (2018)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, D. Maddix, and Y. Wang. CoRR, (2022)Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting.Y. Park, D. Maddix, F. Aubet, K. Kan, J. Gasthaus, and Y. Wang. CoRR, (2021)Domain Adaptation for Time Series Forecasting via Attention Sharing.X. Jin, Y. Park, D. Maddix, H. Wang, and Y. Wang. ICML, volume 162 of Proceedings of Machine Learning Research, page 10280-10297. PMLR, (2022)Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow.D. Maddix, N. Saad, and Y. Wang. CoRR, (2022)Guiding continuous operator learning through Physics-based boundary constraints.N. Saad, G. Gupta, S. Alizadeh, and D. Maddix. CoRR, (2022)Deep Factors for Forecasting.Y. Wang, A. Smola, D. Maddix, J. Gasthaus, D. Foster, and T. Januschowski. ICML, volume 97 of Proceedings of Machine Learning Research, page 6607-6617. PMLR, (2019)Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting.H. Hasson, D. Maddix, Y. Wang, G. Gupta, and Y. Park. CoRR, (2023)Numerical artifacts in the Generalized Porous Medium Equation: Why harmonic averaging itself is not to blame.D. Maddix, L. Sampaio, and M. Gerritsen. J. Comput. Phys., (2018)Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.R. Wang, D. Maddix, C. Faloutsos, Y. Wang, and R. Yu. L4DC, volume 144 of Proceedings of Machine Learning Research, page 385-398. PMLR, (2021)

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Disambiguation of "Maddix, Danielle C."

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First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting.

Please choose a person to relate this publication to

Danielle Hartung

Danielle Dennewald

Danielle Lemaire

Danielle Lauer

Danielle Hoja

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Maddix, Danielle C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting.

Please choose a person to relate this publication to

Danielle Hartung

Danielle Dennewald

Danielle Lemaire

Danielle Lauer

Danielle Hoja

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting.