Vikas Sindhwani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
20
Active years
2001–2025
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. | Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, Ren Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski |
| 2025 | ICRA | Achieving Human Level Competitive Robot Table Tennis. | David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi |
| 2024 | CoRL | Modeling the Real World with High-Density Visual Particle Dynamics. | William F. Whitney, Jake Varley, Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani |
| 2024 | CoRL | Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. | Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan |
| 2024 | ICRA | How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. | Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, Vidhi Jain, Allen Z. Ren, Quan Vuong, Jake Varley, Alexander Herzog, Isabel Leal, Sean Kirmani, Mario Prats, Dorsa Sadigh, Vikas Sindhwani, Kanishka Rao, Jacky Liang, Andy Zeng |
| 2024 | ICRA | SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. | Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tams Sarls, Ken Oslund, Karol Hausman, Kanishka Rao |
| 2024 | IROS | The Design of the Barkour Benchmark for Robot Agility. | Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jos Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee |
| 2024 | IROS | Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. | Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani |
| 2023 | ICLR | Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. | Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence |
| 2023 | ICRA | A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. | Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal |
| 2023 | ICRA | Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. | Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey T. Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez |
| 2022 | CoRL | Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. | Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. 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 |
| 2022 | ICLR | Hybrid Random Features. | Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller |
| 2022 | IROS | Multiscale Sensor Fusion and Continuous Control with Neural CDEs. | Sumeet Singh, Francis McCann Ramirez, Jacob Varley, Andy Zeng, Vikas Sindhwani |
| 2022 | ICRA | Optimizing Trajectories with Closed-Loop Dynamic SQP. | Sumeet Singh, Jean-Jacques E. Slotine, Vikas Sindhwani |
| 2021 | ICRA | Piecewise-Linear Motion Planning amidst Static, Moving, or Morphing Obstacles. | Bachir El Khadir, Jean-Bernard Lasserre, Vikas Sindhwani |
| 2021 | ICRA | Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. | Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng |
| 2020 | CoRL | Learning Stability Certificates from Data. | Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani |
| 2020 | CoRL | Transporter Networks: Rearranging the Visual World for Robotic Manipulation. | Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee |
| 2020 | ICML | Stochastic Flows and Geometric Optimization on the Orthogonal Group. | Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tams Sarls, Adrian Weller, Vikas Sindhwani |
| 2020 | IROS | Robotic Table Tennis with Model-Free Reinforcement Learning. | Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly |
| 2020 | ICRA | Unsupervised Anomaly Detection for Self-flying Delivery Drones. | Vikas Sindhwani, Hakim Sidahmed, Krzysztof Choromanski, Brandon Jones |
| 2019 | CoRL | Provably Robust Blackbox Optimization for Reinforcement Learning. | Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani |
| 2019 | CoRL | Data Efficient Reinforcement Learning for Legged Robots. | Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani |
| 2018 | AISTATS | The Geometry of Random Features. | Krzysztof Choromanski, Mark Rowland, Tams Sarls, Vikas Sindhwani, Richard E. Turner, Adrian Weller |
| 2018 | CoRL | Policies Modulating Trajectory Generators. | Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke |
| 2018 | ICML | Structured Evolution with Compact Architectures for Scalable Policy Optimization. | Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller |
| 2018 | ICRA | Optimizing Simulations with Noise-Tolerant Structured Exploration. | Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans |
| 2018 | WAFR | Learning Stabilizable Dynamical Systems via Control Contraction Metrics. | Sumeet Singh, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone |
| 2016 | ICASSP | Learning compact recurrent neural networks. | Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath |
| 2016 | ICML | Recycling Randomness with Structure for Sublinear time Kernel Expansions. | Krzysztof Choromanski, Vikas Sindhwani |
| 2015 | SDM | Near-separable Non-negative Matrix Factorization with ℓ | Abhishek Kumar, Vikas Sindhwani |
| 2014 | CVPR | Random Laplace Feature Maps for Semigroup Kernels on Histograms. | Jiyan Yang, Vikas Sindhwani, Quanfu Fan, Haim Avron, Michael W. Mahoney |
| 2014 | ICASSP | Kernel methods match Deep Neural Networks on TIMIT. | Po-Sen Huang, Haim Avron, Tara N. Sainath, Vikas Sindhwani, Bhuvana Ramabhadran |
| 2014 | ICML | Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels. | Jiyan Yang, Vikas Sindhwani, Haim Avron, Michael W. Mahoney |
| 2014 | IDEAS | Personalized classifiers: evolving a classifier from a large reference knowledge graph. | Ramakrishna B. Bairi, Ganesh Ramakrishnan, Vikas Sindhwani |
| 2013 | ICASSP | Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets. | Tara N. Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, Bhuvana Ramabhadran |
| 2013 | ICML | Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization. | Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur |
| 2013 | UAI | Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality. | Vikas Sindhwani, Ha Quang Minh, Aurlie C. Lozano |
| 2012 | ICML | Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization. | Haim Avron, Satyen Kale, Shiva Prasad Kasiviswanathan, Vikas Sindhwani |
| 2012 | KDD | Large-scale distributed non-negative sparse coding and sparse dictionary learning. | Vikas Sindhwani, Amol Ghoting |
| 2012 | WSDM | Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization. | Ankan Saha, Vikas Sindhwani |
| 2011 | CIKM | Emerging topic detection using dictionary learning. | Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani |
| 2011 | ICDE | SystemML: Declarative machine learning on MapReduce. | Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan |
| 2011 | ICML | Vector-valued Manifold Regularization. | Ha Quang Minh, Vikas Sindhwani |
| 2011 | IJCAI | Concept Labeling: Building Text Classifiers with Minimal Supervision. | Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence |
| 2010 | ICDM | One-Class Matrix Completion with Low-Density Factorizations. | Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic |
| 2010 | SDM | Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations. | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang |
| 2009 | ACL | A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge. | Tao Li, Yi Zhang, Vikas Sindhwani |
| 2009 | ICDM | Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. | Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda |
| 2009 | ICML | Uncertainty sampling and transductive experimental design for active dual supervision. | Vikas Sindhwani, Prem Melville, Richard D. Lawrence |
| 2009 | SIGIR | Knowledge transformation for cross-domain sentiment classification. | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang |
| 2008 | ICDM | Document-Word Co-regularization for Semi-supervised Sentiment Analysis. | Vikas Sindhwani, Prem Melville |
| 2008 | ICML | An RKHS for multi-view learning and manifold co-regularization. | Vikas Sindhwani, David S. Rosenberg |
| 2007 | IJCAI | Semi-Supervised Gaussian Process Classifiers. | Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi |
| 2006 | ICML | Deterministic annealing for semi-supervised kernel machines. | Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle |
| 2006 | SIGIR | Large scale semi-supervised linear SVMs. | Vikas Sindhwani, S. Sathiya Keerthi |
| 2005 | AISTATS | On Manifold Regularization. | Misha Belkin, Partha Niyogi, Vikas Sindhwani |
| 2005 | ICML | Beyond the point cloud: from transductive to semi-supervised learning. | Vikas Sindhwani, Partha Niyogi, Mikhail Belkin |
| 2001 | SDM | Information Theoretic Feature Crediting in Multiclass Support Vector Machines. | Vikas Sindhwani, P. Bhattacharya, Subrata Rakshit |