Showing 1–20 of 30 results
/ Date/ Name
Dec 15, 2018Residual Policy LearningMar 27, 2023Improving Dual-Encoder Training through Dynamic Indexes for Negative MiningJun 4, 2018Relational inductive biases, deep learning, and graph networksApr 30, 2025Direct Motion Models for Assessing Generated VideosFeb 23, 20263DSPA: A 3D Semantic Point Autoencoder for Evaluating Video RealismFeb 1, 2022Physical Design using Differentiable Learned SimulatorsFeb 12, 2019Infinite Mixture Prototypes for Few-Shot LearningDec 7, 2022Learning rigid dynamics with face interaction graph networksJul 22, 2019Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoningFeb 24, 2026Under the Influence: Quantifying Persuasion and Vigilance in Large Language ModelsJun 4, 2018Relational inductive bias for physical construction in humans and machinesFeb 3, 2025The in-context inductive biases of vision-language models differ across modalitiesJan 20, 2026"Just in Time" World Modeling Supports Human Planning and ReasoningDec 9, 2025Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventionsSep 5, 2025RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement LearningFeb 11, 2025When Incentives Backfire, Data Stops Being HumanMar 21, 2025Bayesian Teaching Enables Probabilistic Reasoning in Large Language ModelsDec 19, 2024Scaling 4D RepresentationsSep 5, 2023Diffusion Generative Inverse DesignMar 5, 2025Decoupling the components of geometric understanding in Vision Language Models