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Rajarishi Sinha
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2020 – today
- 2024
- [c6]Jinsung Yoon, Rajarishi Sinha, Sercan Ömer Arik, Tomas Pfister:
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. EMNLP 2024: 10318-10336 - [i4]Jinsung Yoon, Rajarishi Sinha, Sercan Ö. Arik, Tomas Pfister:
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. CoRR abs/2407.20243 (2024) - 2023
- [c5]Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister:
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. EMNLP (Findings) 2023: 542-550 - [i3]Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister:
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. CoRR abs/2306.00739 (2023) - [i2]Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister:
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. CoRR abs/2311.02883 (2023) - 2021
- [j3]Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister:
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021) - 2020
- [c4]Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS 2020 - [i1]Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister:
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR abs/2008.00646 (2020)
2000 – 2009
- 2002
- [c3]Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep K. Khosla:
Behavioral Model Composition in Simulation-Based Design. Annual Simulation Symposium 2002: 308-315 - 2001
- [j2]Christiaan J. J. Paredis, Antonio Diaz-Calderon, Rajarishi Sinha, Pradeep K. Khosla:
Composable Models for Simulation-Based Design. Eng. Comput. 17(2): 112-128 (2001) - [j1]Rajarishi Sinha, Christiaan J. J. Paredis, Vei-Chung Liang, Pradeep K. Khosla:
Modeling and Simulation Methods for Design of Engineering Systems. J. Comput. Inf. Sci. Eng. 1(1): 84-91 (2001) - 2000
- [c2]Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep K. Khosla:
Integration of Mechanical CAD and Behavioral Modeling. BMAS 2000: 31-36 - [c1]Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep K. Khosla:
Kinematics Support for Design and Simulation of Mechatronic Systems. Knowledge Intensive CAD 2000: 183-198
Coauthor Index
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last updated on 2024-12-10 20:50 CET by the dblp team
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