Adam Santoro

Computer Science · Physical Sciences

30h-index8.4kcitations63works2.02yr avg
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Research Topics

Multimodal Machine Learning Applications(19), Topic Modeling(15), Domain Adaptation and Few-Shot Learning(13), Reinforcement Learning in Robotics(11), Explainable Artificial Intelligence (XAI)(10)

Publications63 total

Tracing the Representation Geometry of Language Models from Pretraining to Post-training
arXiv (Cornell University)·2025Open Access
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
arXiv (Cornell University)·2024· 4 citedOpen Access
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback
arXiv (Cornell University)·2022· 5 citedOpen Access
Adult neurogenesis acts as a neural regularizer
Proceedings of the National Academy of Sciences·2022· 28 citedOpen Access
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv (Cornell University)·2022· 546 citedOpen Access
Intra-agent speech permits zero-shot task acquisition
arXiv (Cornell University)·2022· 3 citedOpen Access
Evaluating Multimodal Interactive Agents
arXiv (Cornell University)·2022· 1 citedOpen Access
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
arXiv (Cornell University)·2022· 52 citedOpen Access
Can neurogenesis act as a neural regularizer?
2022Open Access
A data-driven approach for learning to control computers
arXiv (Cornell University)·2022· 7 citedOpen Access
Publishing fast and slow: A path toward generalizability in psychology and AI
Behavioral and Brain Sciences·2022· 4 cited
Creating Multimodal Interactive Agents with Imitation and\n Self-Supervised Learning
arXiv (Cornell University)·2021· 32 citedOpen Access
Tell me why! Explanations support learning relational and causal structure
arXiv (Cornell University)·2021· 9 citedOpen Access
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
arXiv (Cornell University)·2021· 15 citedOpen Access
Neural spatio-temporal reasoning with object-centric self-supervised learning
2021
Publishing fast and slow: A path toward generalizability in psychology and AI
2021· 1 cited
Synthetic Returns for Long-Term Credit Assignment
arXiv (Cornell University)·2021· 11 citedOpen Access
Symbolic Behaviour in Artificial Intelligence
arXiv (Cornell University)·2021· 4 citedOpen Access
Attention over learned object embeddings enables complex visual\n reasoning
arXiv (Cornell University)·2020· 12 citedOpen Access
Attention over learned object embeddings enables complex visual reasoning
arXiv (Cornell University)·2020· 7 citedOpen Access
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Frequent Co-authors

Timothy Lillicrap(27), Felix Hill(14), David Raposo(12), Peter Battaglia(11), Matthew Botvinick(11), Andrew K. Lampinen(9), Greg Wayne(9), Razvan Pascanu(8), David G. T. Barrett(8), Daan Wierstra(6), Paul W. Frankland(6), Blake A. Richards(6), Josh Abramson(6), Mateusz Malinowski(5), Arun Ahuja(5), Matt Botvinick(5), Petko Georgiev(5), Alistair Muldal(5), Victor Bapst(4), Oriol Vinyals(4)