Showing 1–19 of 19 results
/ Date/ Name
Jan 9, 2026Can AI mediation improve democratic deliberation?Jul 22, 2025Depression as a disorder of distributional codingApr 12, 2023Meta-Learned Models of CognitionFeb 21, 2022HCMD-zero: Learning Value Aligned Mechanisms from DataFeb 15, 2022General-purpose, long-context autoregressive modeling with Perceiver ARJan 27, 2022Human-centered mechanism design with Democratic AIJun 7, 2021SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video DecompositionFeb 4, 2021Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agentsOct 18, 2020Model-free conventions in multi-agent reinforcement learning with heterogeneous preferencesJun 25, 2020Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neuronsApr 24, 2020The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetJan 29, 2020MEMO: A Deep Network for Flexible Combination of Episodic MemoriesMay 8, 2019Meta-learning of Sequential StrategiesApr 18, 2019Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain BretteMar 1, 2019Multi-Object Representation Learning with Iterative Variational InferenceJan 30, 2019InfoBot: Transfer and Exploration via the Information BottleneckNov 4, 2018Bayesian Action Decoder for Deep Multi-Agent Reinforcement LearningSep 28, 2018Relational Forward Models for Multi-Agent LearningMay 24, 2018Been There, Done That: Meta-Learning with Episodic Recall