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Shayan Jawed
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2020 – today
- 2024
- [c11]Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme:
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI 2024: 16255-16263 - [c10]Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme:
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. PAKDD (6) 2024: 264-275 - [i6]Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme:
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting. CoRR abs/2403.04477 (2024) - 2023
- [c9]Shayan Jawed, Jan Stening, Lars Schmidt-Thieme:
Pricing Used Vehicles at Volkswagen Financial Services AG. IEEE Big Data 2023: 1736-1743 - [c8]Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Forecasting Early with Meta Learning. IJCNN 2023: 1-8 - [i5]Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme:
Forecasting Irregularly Sampled Time Series using Graphs. CoRR abs/2305.12932 (2023) - [i4]Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Forecasting Early with Meta Learning. CoRR abs/2307.09796 (2023) - 2022
- [c7]Shayan Jawed, Lars Schmidt-Thieme:
GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting. IEEE Big Data 2022: 992-1001 - [i3]Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme:
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. CoRR abs/2202.04411 (2022) - [i2]Shayan Jawed, Lars Schmidt-Thieme:
Auxiliary Quantile Forecasting with Linear Networks. CoRR abs/2212.02578 (2022) - 2021
- [c6]Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka:
Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets. ECML/PKDD (1) 2021: 485-501 - 2020
- [c5]Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme:
Self-supervised Learning for Semi-supervised Time Series Classification. PAKDD (1) 2020: 499-511 - [c4]Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme:
Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD. PAKDD (2) 2020: 894-905 - [c3]Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches:
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. RecSys 2020: 230-239
2010 – 2019
- 2019
- [c2]Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme:
Multi-step Forecasting via Multi-task Learning. IEEE BigData 2019: 790-799 - [c1]Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches:
A Deep Multi-task Approach for Residual Value Forecasting. ECML/PKDD (3) 2019: 467-482 - [i1]Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme:
Data-Driven Vehicle Trajectory Forecasting. CoRR abs/1902.05400 (2019)
Coauthor Index
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last updated on 2024-05-19 01:01 CEST by the dblp team
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