Shayan Jawed - RankMe

17 papers A* 1A 1B 3Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2024	—	`conf`	Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. PAKDD (6) Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
2024	J	`jnl`	Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting. CoRR Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
2023	B	`conf`	Forecasting Early with Meta Learning. IJCNN Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2023	J	`jnl`	Forecasting Early with Meta Learning. CoRR Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2023	J	`jnl`	Forecasting Irregularly Sampled Time Series using Graphs. CoRR Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
2023	B	`conf`	Pricing Used Vehicles at Volkswagen Financial Services AG. IEEE Big Data Shayan Jawed, Jan Stening, Lars Schmidt-Thieme
2022	J	`jnl`	A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. CoRR 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
2022	J	`jnl`	Auxiliary Quantile Forecasting with Linear Networks. CoRR Shayan Jawed, Lars Schmidt-Thieme
2022	B	`conf`	GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting. IEEE Big Data Shayan Jawed, Lars Schmidt-Thieme
2021	—	`conf`	Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets. ECML/PKDD (1) Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka
2020	A	`conf`	MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. RecSys Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches
2020	—	`conf`	Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD. PAKDD (2) Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme
2020	—	`conf`	Self-supervised Learning for Semi-supervised Time Series Classification. PAKDD (1) Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme
2019	—	`conf`	A Deep Multi-task Approach for Residual Value Forecasting. ECML/PKDD (3) Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches
2019	J	`jnl`	Data-Driven Vehicle Trajectory Forecasting. CoRR Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme
2019	—	`conf`	Multi-step Forecasting via Multi-task Learning. IEEE BigData Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme