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Vikas Sindhwani

Identifiers

  • name variant Vikas Sindhwani 0.60 · backfill

Papers (23)

  1. Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer cs.RO · 2025 · author #131
  2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #493
  3. Gemini Robotics: Bringing AI into the Physical World cs.RO · 2025 · author #86
  4. Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cs.CV · 2022 · author #10
  5. Teleoperator Imitation with Continuous-time Safety cs.RO · 2019 · author #3
  6. Provably Robust Blackbox Optimization for Reinforcement Learning cs.LG · 2019 · author #9
  7. Learning Stabilizable Dynamical Systems via Control Contraction Metrics cs.SY · 2018 · author #2
  8. Optimizing Simulations with Noise-Tolerant Structured Exploration cs.RO · 2018 · author #3
  9. Learning Contracting Vector Fields For Stable Imitation Learning cs.RO · 2018 · author #1
  10. Structured Evolution with Compact Architectures for Scalable Policy Optimization cs.LG · 2018 · author #3
  11. Manifold Regularization for Kernelized LSTD cs.LG · 2017 · author #4
  12. Geometry of 3D Environments and Sum of Squares Polynomials math.OC · 2016 · author #4
  13. Hierarchically Compositional Kernels for Scalable Nonparametric Learning cs.LG · 2016 · author #3
  14. Recycling Randomness with Structure for Sublinear time Kernel Expansions cs.LG · 2016 · author #2
  15. Learning Compact Recurrent Neural Networks cs.LG · 2016 · author #2
  16. Structured Transforms for Small-Footprint Deep Learning stat.ML · 2015 · author #1
  17. Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels stat.ML · 2014 · author #2
  18. Learning Machines Implemented on Non-Deterministic Hardware cs.LG · 2014 · author #2
  19. High-performance Kernel Machines with Implicit Distributed Optimization and Randomization stat.ML · 2014 · author #1
  20. Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality cs.LG · 2014 · author #1
  21. Near-separable Non-negative Matrix Factorization with $\ell_1$- and Bregman Loss Functions stat.ML · 2013 · author #2
  22. Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality stat.ML · 2012 · author #1
  23. Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization stat.ML · 2012 · author #2

Mentions

  • 1408.2066 #1 · backfill · confidence 0.70 Vikas Sindhwani
  • 1312.7167 #2 · backfill · confidence 0.70 Vikas Sindhwani
  • 1210.4792 #1 · backfill · confidence 0.70 Vikas Sindhwani
  • 1210.1190 #2 · backfill · confidence 0.70 Vikas Sindhwani
  • 2204.00598 #10 · arxiv_oai · confidence 0.70 Vikas Sindhwani
  • 2510.03342 #131 · arxiv_oai · confidence 0.70 Vikas Sindhwani

Frequent Coauthors