Shubham Kapoor

According to our database, Shubham Kapoor authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Chronos: Learning the Language of Time Series.

Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang

CoRR, 2024

2023

Adaptive Sampling for Probabilistic Forecasting under Distribution Shift.

Luca Masserano, Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Youngsuk Park, Michael Bohlke-Schneider

CoRR, 2023

Coherent Probabilistic Forecasting of Temporal Hierarchies.

Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Quality of Monitoring for Cellular Networks.

Naser Hossein Motlagh, Shubham Kapoor, Rola Alhalaseh, Sasu Tarkoma, Kimmo Hätönen

IEEE Trans. Netw. Serv. Manag., 2022

PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series.

Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir-Singh Nirwan, Valentin Flunkert, Jan Gasthaus, Tim Januschowski

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Resilient Neural Forecasting Systems.

Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

Can Pre-training help VQA with Lexical Variations?

Shailza Jolly, Shubham Kapoor

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Bootstrapping NLU Models with Multi-task Learning.

Shubham Kapoor, Caglar Tirkaz

CoRR, 2019

2017

Sharing performance measurement events across domains.

Kasper Apajalahti, Juha Niiranen, Shubham Kapoor, Vilho Räisänen

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

2016

Distributed Computing of Management Data in a Telecommunications Network.

Ville Kojola, Shubham Kapoor, Kimmo Hätönen

Proceedings of the Mobile Networks and Management - 8th International Conference, 2016