Shayan Jawed

According to our database, Shayan Jawed authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting.

Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme

CoRR, 2024

Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting.

Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Forecasting Irregularly Sampled Time Series using Graphs.

Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

CoRR, 2023

Forecasting Early with Meta Learning.

Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

Proceedings of the International Joint Conference on Neural Networks, 2023

Pricing Used Vehicles at Volkswagen Financial Services AG.

Shayan Jawed, Jan Stening, Lars Schmidt-Thieme

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Auxiliary Quantile Forecasting with Linear Networks.

Shayan Jawed, Lars Schmidt-Thieme

CoRR, 2022

A.I. and Data-Driven Mobility at Volkswagen Financial Services AG.

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

CoRR, 2022

GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting.

Shayan Jawed, Lars Schmidt-Thieme

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets.

Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems.

Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Self-supervised Learning for Semi-supervised Time Series Classification.

Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD.

Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Data-Driven Vehicle Trajectory Forecasting.

Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme

CoRR, 2019

A Deep Multi-task Approach for Residual Value Forecasting.

Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multi-step Forecasting via Multi-task Learning.

Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019