D. Scott Phoenix

Publication Activity (10 Years)

Years Active: 2015-2018
Publications (10 Years): 9

Top Topics

Generative Model

Causal Inference

Top Venues

Publications

Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. AAAI (2018)
Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Teaching Compositionality to CNNs. CVPR (2017)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. ICML (2017)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. CoRR (2017)
Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Teaching Compositionality to CNNs. CoRR (2017)
Hua-Yan Wang, Anna Chen, Yi Liu, Dileep George, D. Scott Phoenix
A backward pass through a CNN using a generative model of its activations. CoRR (2016)
Xinghua Lou, Ken Kansky, Wolfgang Lehrach, C. C. Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. NIPS (2016)
Xinghua Lou, Ken Kansky, Wolfgang Lehrach, C. C. Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. CoRR (2016)
Miguel Lázaro-Gredilla, Yi Liu, D. Scott Phoenix, Dileep George
Hierarchical compositional feature learning. CoRR (2016)
Stuart J. Russell, Tom Dietterich, Eric Horvitz, Bart Selman, Francesca Rossi, Demis Hassabis, Shane Legg, Mustafa Suleyman, Dileep George, D. Scott Phoenix
Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter. AI Mag. 36 (4) (2015)