Shayan Jawed

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Financial Services

Top Venues

Publications

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)
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting. CoRR (2024)
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. PAKDD (6) (2024)
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Forecasting Early with Meta Learning. CoRR (2023)
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 (2023)
Shayan Jawed, Jan Stening, Lars Schmidt-Thieme
Pricing Used Vehicles at Volkswagen Financial Services AG. BigData (2023)
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Forecasting Early with Meta Learning. IJCNN (2023)
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 (2022)
Shayan Jawed, Lars Schmidt-Thieme
Auxiliary Quantile Forecasting with Linear Networks. CoRR (2022)
Shayan Jawed, Lars Schmidt-Thieme
GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting. Big Data (2022)
Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka
Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets. ECML/PKDD (1) (2021)
Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme
Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD. PAKDD (2) (2020)
Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme
Self-supervised Learning for Semi-supervised Time Series Classification. PAKDD (1) (2020)
Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. RecSys (2020)
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)
Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme
Multi-step Forecasting via Multi-task Learning. IEEE BigData (2019)
Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme
Data-Driven Vehicle Trajectory Forecasting. CoRR (2019)