Stephanie C.Y. Chan
Stephanie C.Y. Chan
Research Scientist, Google DeepMind
Verificeret mail på deepmind.com
Citeret af
Citeret af
Can language models learn from explanations in context?
AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ...
Findings of EMNLP 2022, 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
SCY Chan, A Santoro, AK Lampinen, JX Wang, A Singh, PH Richemond, ...
Oral @ Neural Information Processing Systems (NeurIPS) 2022, 2022
Language models show human-like content effects on reasoning
I Dasgupta, AK Lampinen, SCY Chan, A Creswell, D Kumaran, ...
arXiv preprint arXiv:2207.07051, 2022
A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex
SCY Chan, Y Niv, KA Norman
The Journal of Neuroscience 36 (30), 7817-7828, 2016
Measuring the Reliability of Reinforcement Learning Algorithms
SCY Chan, S Fishman, J Canny, A Korattikara, S Guadarrama
Spotlight @ International Conference on Learning Representations (ICLR) 2020, 2020
Semantic exploration from language abstractions and pretrained representations
A Tam, N Rabinowitz, A Lampinen, NA Roy, S Chan, DJ Strouse, J Wang, ...
Advances in Neural Information Processing Systems 35, 25377-25389, 2022
Towards mental time travel: a hierarchical memory for reinforcement learning agents
A Lampinen, S Chan, A Banino, F Hill
Advances in Neural Information Processing Systems 34, 28182-28195, 2021
Tell me why! Explanations support learning relational and causal structure
AK Lampinen, N Roy, I Dasgupta, SCY Chan, A Tam, J Mcclelland, C Yan, ...
International Conference on Machine Learning, 11868-11890, 2022
On the value of information and other rewards
Y Niv, S Chan
Nature neuroscience 14 (9), 1095, 2011
Transformers generalize differently from information stored in context vs in weights
SCY Chan, I Dasgupta, J Kim, D Kumaran, AK Lampinen, F Hill
NeurIPS MemARI Workshop 2022, 2022
Lingering representations of stimuli influence recall organization
SCY Chan, MC Applegate, NW Morton, SM Polyn, KA Norman
Neuropsychologia 97, 72-82, 2017
Genie: Generative Interactive Environments
J Bruce, M Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ...
arXiv preprint arXiv:2402.15391, 2024
Zipfian Environments for Reinforcement Learning
SCY Chan, AK Lampinen, PH Richemond, F Hill
Conference on Lifelong Learning Agents (CoLLAs) 2022, 2022
The Transient Nature of Emergent In-Context Learning in Transformers
AK Singh, SCY Chan, T Moskovitz, E Grant, AM Saxe, F Hill
Neural Information Processing Systems (NeurIPS) 2023, 2023
Scalable parallel gene therapy injector array
ES Boyden, S Chan
US Patent 8,708,965, 2014
Passive learning of active causal strategies in agents and language models
A Lampinen, S Chan, I Dasgupta, A Nam, J Wang
Advances in Neural Information Processing Systems 36, 2024
Scalable fluidic injector arrays for viral targeting of intact 3-D brain circuits
S Chan, J Bernstein, E Boyden
JoVE (Journal of Visualized Experiments), e1489-e1489, 2010
Orbitofrontal cortex and learning predictions of state transitions.
SCY Chan, NW Schuck, N Lopatina, G Schoenbaum, Y Niv
Behavioral neuroscience 135 (4), 487, 2021
A crowded model of visual search
R Rosenholtz, S Chan, B Balas
Journal of Vision 9 (8), 1197-1197, 2009
Many-Shot In-Context Learning
R Agarwal, A Singh, LM Zhang, B Bohnet, S Chan, A Anand, Z Abbas, ...
arXiv preprint arXiv:2404.11018, 2024
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