Nicholas A. Roy

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

Semantically Equivalent

Causal Bayesian Networks

Efficient Inference

Top Venues

Publications

Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR (2022)
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill
Semantic Exploration from Language Abstractions and Pretrained Representations. NeurIPS (2022)
Nicholas A. Roy, Junkyung Kim, Neil C. Rabinowitz
Explainability Via Causal Self-Talk. CoRR (2022)
Nicholas A. Roy, Junkyung Kim, Neil C. Rabinowitz
Explainability Via Causal Self-Talk. NeurIPS (2022)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! Explanations support learning relational and causal structure. ICML (2022)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! - Explanations support learning of relational and causal structure. CoRR (2021)
Genevieve Flaspohler, Nicholas A. Roy, John W. Fisher III
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information. NeurIPS (2020)
Zoe Ashwood, Nicholas A. Roy, Ji Hyun Bak, Jonathan W. Pillow
Inferring learning rules from animal decision-making. NeurIPS (2020)
Nicholas A. Roy, Ji Hyun Bak, Athena Akrami, Carlos Brody, Jonathan W. Pillow
Efficient inference for time-varying behavior during learning. NeurIPS (2018)
Anqi Wu, Nicholas A. Roy, Stephen L. Keeley, Jonathan W. Pillow
Gaussian process based nonlinear latent structure discovery in multivariate spike train data. NIPS (2017)