Indar Sugiarto - Publications

Affiliations: 
Neuroscientific System Theory Technische Universität München (TUM), München, Bayern, Germany 
Area:
Computational Intelligence, Bayesian Machine Learning, Reconfigurable Computing
Website:
http://www.nst.ei.tum.de/en/team/indar-sugiarto/

6 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Sugiarto I, Axenie C, Conradt J. FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization Journal of Circuits, Systems, and Computers. 28: 1950031. DOI: 10.1142/S0218126619500312  0.64
2018 Sugiarto I, Conradt J. Modular design of a factor-graph-based inference engine on a System-On-Chip (SoC) Microprocessors and Microsystems. 60: 53-64. DOI: 10.1016/J.Micpro.2018.04.002  0.644
2014 Sugiarto I, Conradt J. Factor graph inference engine on the spinnaker neural computing system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 161-168. DOI: 10.1088/1755-1315/20/1/012007  0.618
2013 Sugiarto I, Maier P, Conradt J. Reasoning with discrete factor graph Proceedings of 2013 International Conference On Robotics, Biomimetics, Intelligent Computational Systems, Robionetics 2013. 170-175. DOI: 10.1109/ROBIONETICS.2013.6743599  0.64
2013 Sugiarto I, Conradt J. Discrete belief propagation network using population coding and factor graph for kinematic control of a mobile robot Proceeding - Ieee Cyberneticscom 2013: Ieee International Conference On Computational Intelligence and Cybernetics. 136-140. DOI: 10.1109/CyberneticsCom.2013.6865797  0.619
2012 Sugiarto I, Conradt J. Brain Graph - Style Information Processing for Mobile Robot Control Frontiers in Computational Neuroscience. 6. DOI: 10.3389/Conf.Fncom.2012.55.00078  0.574
Show low-probability matches.