Publications
Google Scholar Page
“We can only see a short distance ahead, but we can see plenty there
that needs to be done” – Alan Turing, 1950
“Simplicity is the final achievement” –
Frederic
Chopin
“To play a wrong note is insignificant; to play without passion is inexcusable” –
Beethoven
“Coauthorship is a closer relationship than friendship” –
Fan Chung
“The search is more important than the destination” –
A.R. Rahman
“You are never too far behind to win and never too far ahead to
lose” – seen at Arlen Specter
Squash Center
2024
2023
Socratic Models: Composing
Zero-Shot Multimodal Reasoning with Language
Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico
Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, Johnny Lee,
Vincent Vanhoucke, Pete Florence
International Conference on Representation Learning (ICLR), 2023
2022
Learning Model Predictive
Controllers with Real-Time Attention for
Real-World Navigation
Xuesu Xiao, Tingnan Zhang, Krzysztof Choromanski, Edward Lee, Anthony
Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven
Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie
Tan, Carolina Parada, Vikas Sindhwani
Conference on Robot Learning (CoRL), 2022
Robotic Table Wiping via
Reinforcement Learning and Whole-body Trajectory Optimization
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz,
Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu,
Tingnan Zhang, Jie Tan, Montserrat Gonzalez
submitted, 2022
Video
Agile Catching with Whole Body MPC and Blackbox Policy Learning
Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar,
Vikas Sindhwani, Sumeet Singh, Jean-Jacques Slotine, and Stephen Tu
Learning for Agile Robotics (CoRL), 2022
Hybrid Random Features
Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas
Sindhwani, Adrian Weller
International Conference on Learning Representations (ICLR) 2022 (to appear)
2020
Rearranging the Visual World: Transporter Networks
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria
Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee
Conference on Robot Learning (CORL), 2020 (Best Paper Presentation Award Finalist!)
An Ode to an ODE
Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques Slotine, Jacob Varley, Honglak Lee, Adrian
Weller, Vikas Sindhwani
Neural Information Processing Systems (NeurIPS), 2020
2018
The Geometry of Random Features
Krzysztof Choromanski, Mark Rowland, Tamas Sarlos, Vikas Sindhwani, Richard Turner, Adrian Weller
International Conference on Artificial Intelligence and Statistics (AISTATS’18)
2010
Social Media Analytics
R. Lawrence, P. Melville, C. Perlich, V.Sindhwani, E.Meliksetian, P.Hsueh, Y. Liu
Operations Research - Management Science Today (ORMS-Today), Feburary 2010
2009
Winning the KDD Cup Orange Challenge with Ensemble Selection
A. Niculescu-Mizil, C. Perlich, G. Swirszcz, V. Sindhwani, Y. Liu, P. Melville, D. Wang, J. Xiao, J. Hu, M. Singh, W. X. Shang, Y.F. Zhu
Journal of Machine Learning Research (JMLR proceeding series), 2009 (KDD Cup Winner!)
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