Causation, Force, and the Sense of Touch. - Phillip Wolff; Samuel Ritter; Kevin J. Holmes (CogSci, 2014)

Leveraging Preposition Ambiguity to Assess Compositional Distributional Models of Semantics. - Samuel Ritter; Cotie Long; Denis Paperno; Marco Baroni; Matthew M. Botvinick; Adele E. Goldberg (*SEM@NAACL-HLT, 2015)

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. - Samuel Ritter; David G. T. Barrett; Adam Santoro; Matt M. Botvinick (ICML, 2017)

Episodic Control through Meta-Reinforcement Learning. - Samuel Ritter; Jane X. Wang; Zeb Kurth-Nelson; Matthew M. Botvinick (CogSci, 2018)

Been There, Done That: Meta-Learning with Episodic Recall. - Samuel Ritter; Jane X. Wang; Zeb Kurth-Nelson; Siddhant M. Jayakumar; Charles Blundell; Razvan Pascanu; Matthew M. Botvinick (ICML, 2018)

Meta-Reinforcement Learning with Episodic Recall: An Integrative Theory of Reward-Driven Learning - Samuel Ritter (2019)

Rapid Task-Solving in Novel Environments. - Samuel Ritter; Ryan Faulkner 001; Laurent Sartran; Adam Santoro; Matthew M. Botvinick; David Raposo (ICLR, 2021)

Synthetic Returns for Long-Term Credit Assignment. - David Raposo; Samuel Ritter; Adam Santoro; Greg Wayne; Theophane Weber; Matt M. Botvinick; Hado van Hasselt; H. Francis Song (CoRR, 2021)

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models. - David Raposo; Samuel Ritter; Blake A. Richards; Timothy P. Lillicrap; Peter Conway Humphreys; Adam Santoro (CoRR, 2024)