Rajarishi Sinha

15 papers A* 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration.
CoRR
Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan Ö. Arik
2024 A* conf
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.
EMNLP
Jinsung Yoon, Rajarishi Sinha, Sercan Ömer Arik, Tomas Pfister
2024 J jnl
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.
CoRR
Jinsung Yoon, Rajarishi Sinha, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
SQL-PaLM: Improved large language model adaptation for Text-to-SQL.
Trans. Mach. Learn. Res.
Ruoxi Sun, Sercan Ö. Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister
2023 J jnl
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
2023 — conf
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
EMNLP (Findings)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 J jnl
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2021 J jnl
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.
npj Digit. Medicine
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
2020 J jnl
Interpretable Sequence Learning for COVID-19 Forecasting.
CoRR
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
2020 A* conf
Interpretable Sequence Learning for Covid-19 Forecasting.
NeurIPS
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
2002 — conf
Behavioral Model Composition in Simulation-Based Design.
Annual Simulation Symposium
Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep K. Khosla
2001 J jnl
Composable Models for Simulation-Based Design.
Eng. Comput.
Christiaan J. J. Paredis, Antonio Diaz-Calderon, Rajarishi Sinha, Pradeep K. Khosla
2001 J jnl
Modeling and Simulation Methods for Design of Engineering Systems.
J. Comput. Inf. Sci. Eng.
Rajarishi Sinha, Christiaan J. J. Paredis, Vei-Chung Liang, Pradeep K. Khosla
2000 — conf
Integration of Mechanical CAD and Behavioral Modeling.
BMAS
Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep K. Khosla
2000 — conf
Kinematics Support for Design and Simulation of Mechatronic Systems.
Knowledge Intensive CAD
Rajarishi Sinha, Christiaan J. J. Paredis, Pradeep K. Khosla