Marion Neumann

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 18

Top Venues

AI Matters

CoRR

AAAI

Mach. Learn.

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman Kumar Singla, Alexi Orchard, Rajiv Ratn Shah
EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 9 (2) (2023)
Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan
EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 8 (2) (2022)
Marion Neumann, Robin Linzmayer
Capturing Student Feedback and Emotions in Large Computing Courses: A Sentiment Analysis Approach. SIGCSE (2021)
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
Model AI Assignments 2020. AAAI (2020)
Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann
TUDataset: A collection of benchmark datasets for learning with graphs. CoRR (2020)
Laura Antanas, Plinio Moreno, Marion Neumann, Rui Pimentel de Figueiredo, Kristian Kersting, José Santos-Victor, Luc De Raedt
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach. Auton. Robots 43 (6) (2019)
Marion Neumann
AI education matters: a first introduction to modeling and learning using the data science workflow. AI Matters 5 (3) (2019)
Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel
A unifying view of explicit and implicit feature maps of graph kernels. Data Min. Knowl. Discov. 33 (6) (2019)
Marion Neumann
AI profiles: an interview with Leslie Kaelbling. AI Matters 5 (2) (2019)
Marion Neumann
AI profiles: an interview with Thomas Dietterich. AI Matters 5 (1) (2019)
Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul 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
Model AI Assignments 2019. AAAI (2019)
Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork
ACM SIGAI activity report. AI Matters 5 (3) (2019)
Marion Neumann
AI profiles: an interview with Kristian Kersting. AI Matters 4 (3) (2018)
Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen
An End-to-End Deep Learning Architecture for Graph Classification. AAAI (2018)
Marion Neumann
AI profiles: an interview with Iolanda Leite. AI Matters 4 (4) (2018)
Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel
A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels. CoRR (2017)
Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. 102 (2) (2016)
Marion Neumann, Shan Huang, Daniel E. Marthaler, Kristian Kersting
pyGPs: a Python library for Gaussian process regression and classification. J. Mach. Learn. Res. 16 (2015)
Nils M. Kriege, Marion Neumann, Kristian Kersting, Petra Mutzel
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels. ICDM (2014)
Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting
Propagation Kernels. CoRR (2014)
Laura Antanas, Plinio Moreno, Marion Neumann, Rui Pimentel de Figueiredo, Kristian Kersting, José Santos-Victor, Luc De Raedt
High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline. CoRR (2014)
Marion Neumann, Lisa Hallau, Benjamin Klatt, Kristian Kersting, Christian Bauckhage
Erosion Band Features for Cell Phone Image Based Plant Disease Classification. ICPR (2014)
Marion Neumann, Roman Garnett, Kristian Kersting
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. ACML (2013)
Martin Schiegg, Marion Neumann, Kristian Kersting
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. AISTATS (2012)
Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting
Efficient Graph Kernels by Randomization. ECML/PKDD (1) (2012)
Marion Neumann, Babak Ahmadi, Kristian Kersting
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation. AAAI (2011)
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz
Stacked Gaussian Process Learning. ICDM (2009)

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Publication Activity (10 Years)

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Marion Neumann