Lou, Xinghua

7 publications

ICML 2025 Improving Transformer World Models for Data-Efficient RL Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lazaro-Gredilla, Kevin Patrick Murphy

ICLRW 2025 Improving Transformer World Models for Data-Efficient RL Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, Wolfgang Lehrach, J Swaroop Guntupalli, Miguel Lazaro-Gredilla, Kevin Patrick Murphy

ICML 2017 Schema Networks: Zero-Shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, Scott Phoenix, Dileep George

NeurIPS 2016 Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data Xinghua Lou, Ken Kansky, Wolfgang Lehrach, Cc Laan, Bhaskara Marthi, D. Phoenix, Dileep George

CVPR 2012 Learning to Segment Dense Cell Nuclei with Shape Prior Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt, Fred A. Hamprecht

ICML 2012 Structured Learning from Partial Annotations Xinghua Lou, Fred A. Hamprecht

NeurIPS 2011 Structured Learning for Cell Tracking Xinghua Lou, Fred A. Hamprecht