Shubham Kapoor

16 papers A* 1A 2B 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chronos-2: From Univariate to Universal Forecasting. CoRR Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025	A	`conf`	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. AISTATS Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Ali Caner Türkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram
2025	J	`jnl`	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. CoRR Sebastian Pineda-Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Yuyang Wang, Syama Sundar Rangapuram
2024	J	`jnl`	Chronos: Learning the Language of Time Series. CoRR 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
2024	J	`jnl`	Chronos: Learning the Language of Time Series. Trans. Mach. Learn. Res. 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, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
2023	J	`jnl`	Adaptive Sampling for Probabilistic Forecasting under Distribution Shift. CoRR Luca Masserano, Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Youngsuk Park, Michael Bohlke-Schneider
2023	A	`conf`	Coherent Probabilistic Forecasting of Temporal Hierarchies. AISTATS Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider
2022	A*	`conf`	PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series. ICLR Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir-Singh Nirwan, Valentin Flunkert, Jan Gasthaus, Tim Januschowski
2022	J	`jnl`	Quality of Monitoring for Cellular Networks. IEEE Trans. Netw. Serv. Manag. Naser Hossein Motlagh, Shubham Kapoor, Rola Alhalaseh, Sasu Tarkoma, Kimmo Hätönen
2022	J	`jnl`	Resilient Neural Forecasting Systems. CoRR Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski
2021	J	`jnl`	PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series. CoRR Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Rajbir-Singh Nirwan, Shubham Kapoor, Valentin Flunkert, Jan Gasthaus, Tim Januschowski
2020	—	`conf`	Can Pre-training help VQA with Lexical Variations? EMNLP (Findings) Shailza Jolly, Shubham Kapoor
2020	—	`conf`	Resilient Neural Forecasting Systems. DEEM@SIGMOD Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski
2019	J	`jnl`	Bootstrapping NLU Models with Multi-task Learning. CoRR Shubham Kapoor, Caglar Tirkaz
2017	B	`conf`	Sharing performance measurement events across domains. IM Kasper Apajalahti, Juha Niiranen, Shubham Kapoor, Vilho Räisänen
2016	—	`conf`	Distributed Computing of Management Data in a Telecommunications Network. MONAMI Ville Kojola, Shubham Kapoor, Kimmo Hätönen