Showing 1–20 of 64 results
/ Date/ Name
Sep 3, 2014High-performance Kernel Machines with Implicit Distributed Optimization and RandomizationSep 25, 2025Can AI Perceive Physical Danger and Intervene?Oct 17, 2012Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger CausalityNov 22, 2016Geometry of 3D Environments and Sum of Squares PolynomialsApr 13, 2018Learning Contracting Vector Fields For Stable Imitation LearningOct 6, 2015Structured Transforms for Small-Footprint Deep LearningMar 7, 2019Provably Robust Blackbox Optimization for Reinforcement LearningOct 7, 2019Policies Modulating Trajectory GeneratorsSep 15, 2021Optimizing Trajectories with Closed-Loop Dynamic SQPFeb 2, 2023Mnemosyne: Learning to Train Transformers with TransformersNov 29, 2022A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal ConfigurationsJun 14, 2023Agile Catching with Whole-Body MPC and Blackbox Policy LearningOct 2, 2025Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion TransferMay 23, 2019Teleoperator Imitation with Continuous-time SafetyAug 13, 2020Learning Stability Certificates from DataJan 21, 2020Fitting a Linear Control Policy to Demonstrations with a Kalman ConstraintOct 27, 2020Transporter Networks: Rearranging the Visual World for Robotic ManipulationDec 6, 2020Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter NetworksApr 1, 2022Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageSep 22, 2022Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation