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2020 – today
- 2024
[i5]Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lázaro-Gredilla, Kevin Murphy:
Model Predictive Simulation Using Structured Graphical Models and Transformers. CoRR abs/2406.19635 (2024)- 2023
- [i4]Ken Kansky, Skanda Vaidyanath, Scott Swingle, Xinghua Lou, Miguel Lázaro-Gredilla, Dileep George:
PushWorld: A benchmark for manipulation planning with tools and movable obstacles. CoRR abs/2301.10289 (2023)
2010 – 2019
- 2017
- [c10]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: 1809-1818 - [i3]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 abs/1706.04317 (2017) - 2016
- [c9]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: 2793-2801 - [i2]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 abs/1611.02788 (2016) - 2014
- [j3]Christian Widmer, Marius Kloft, Xinghua Lou, Gunnar Rätsch:
Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. Künstliche Intell. 28(1): 29-33 (2014) - [j2]Xinghua Lou, Martin Schiegg, Fred A. Hamprecht:
Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability. IEEE Trans. Medical Imaging 33(4): 849-860 (2014) - 2013
- [c8]Katherine Redfield Chan, Xinghua Lou, Theofanis Karaletsos, Christopher Crosbie, Stuart M. Gardos
, David Artz, Gunnar Rätsch:
An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes. ICDM Workshops 2013: 56-63 - [i1]Christian Widmer, Philipp Drewe, Xinghua Lou, Shefali Umrania, Stephanie Heinrich, Gunnar Rätsch:
GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images. CoRR abs/1309.4426 (2013) - 2012
- [c7]Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt, Fred A. Hamprecht:
Learning to segment dense cell nuclei with shape prior. CVPR 2012: 1012-1018 - [c6]Xinghua Lou, Fred A. Hamprecht:
Structured Learning from Partial Annotations. ICML 2012 - [c5]Xinghua Lou, Luca Fiaschi, Ullrich Köthe, Fred A. Hamprecht:
Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MLMI 2012: 176-183 - [c4]Heike Leitte, Jens Fangerau, Xinghua Lou, Burkhard Höckendorf, Steffen Lemke, Alexis Maizel, Jochen Wittbrodt:
Visualization Software for 3D Video Microscopy: A Design Study. EuroVis (Short Papers) 2012 - 2011
- [b1]Xinghua Lou:
Biomedical Data Analysis with Prior Knowledge : Modeling and Learning. Heidelberg University, Germany, 2011 - [c3]Xinghua Lou, Frederik O. Kaster, Martin S. Lindner, Bernhard X. Kausler, Ullrich Köthe, Burkhard Hockendorf, Jochen Wittbrodt, Heike Jänicke, Fred A. Hamprecht:
Deltr: Digital embryo lineage tree reconstructor. ISBI 2011: 1557-1560 - [c2]Xinghua Lou, Fred A. Hamprecht:
Structured Learning for Cell Tracking. NIPS 2011: 1296-1304 - 2010
- [j1]Xinghua Lou, Marc Kirchner, Bernhard Y. Renard, Ullrich Köthe, Sebastian Boppel, Christian Graf, Chung-Tien Lee, Judith A. J. Steen, Hanno Steen, Matthias P. Mayer, Fred A. Hamprecht:
Deuteration distribution estimation with improved sequence coverage for HX/MS experiments. Bioinform. 26(12): 1535-1541 (2010)
2000 – 2009
- 2008
- [c1]Xinghua Lou, Shixia Liu, Tianshu Wang:
FanLens: A Visual Toolkit for Dynamically Exploring the Distribution of Hierarchical Attributes. PacificVis 2008: 151-158
Coauthor Index
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