Neumann, Marion

9 publications

AAAI 2020 Model AI Assignments 2020 Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett

AAAI 2019 Model AI Assignments 2019 Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist

AAAI 2018 An End-to-End Deep Learning Architecture for Graph Classification Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen

MLJ 2016 Propagation Kernels: Efficient Graph Kernels from Propagated Information Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting

MLOSS 2015 pyGPs -- a Python Library for Gaussian Process Regression and Classification Marion Neumann, Shan Huang, Daniel E. Marthaler, Kristian Kersting

ACML 2013 Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels Marion Neumann, Roman Garnett, Kristian Kersting

ECML-PKDD 2012 Efficient Graph Kernels by Randomization Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting

AISTATS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data Martin Schiegg, Marion Neumann, Kristian Kersting

AAAI 2011 Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation Marion Neumann, Babak Ahmadi, Kristian Kersting