Alexander Gepperth

Documents

Identifiants chercheurs

alexander-gepperth
IdRef : 19465916X

Présentation

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**Personal Information** Family status: married, 2children Nationality: German **Experience in academia** 5/2011 – present Tenured professor at „École Nationale Supérieure de Techniques Avancées“ (Palaiseau, France) Assignments: Teaching, research, supervision of theses, organization of the specialization subject „intelligent vehicles“ Research focus: large-scale learning in intelligent vehicles **Industrial experience** 02/2008 – 5/2011 Premature tenure as „Senior Scientist“ at Honda Research Institute Europe GmbH 10/2006 – 2/2008 Four-year contract as „Senior Scientist“ at Honda Research Institute Europe GmbH, Offenbach am Main, Germany Assignments: Basic research in machine learning for intelligent vehicles, implementation of prototypes and demonstrations, communication to management and academic community, supervision of students **PhD thesis** 11/2002 – 04/2006 at the university of Bochum, institute for neural computation Subject: „Neural learning methods for visual object recognition“ Degree: Dr. rer. nat (grade: „very good“) Assignments: research, teaching, participation in third-party funded projects (Honda Research Institute Europe GmbH, Robert Bosch KG , DFG Sonderforschungsbereich 475) **Tertiary education** 10/1996 – 01/2002 Studies in physics at Ludwig-Maximilians-Universität Munich Diploma thesis: „Non-BPS states in string theory” (grade: 1,7) Degree: diploma (grade: „very good“) **Alternate civil service (instead of army service)** 8/1995 - 10/1996 at the municipal hospital Pfaffenhofen/Ilm **Secondary education** 6/1995 at Schyren-Gymnasium Pfaffenhofen/Ilm, grade: 1,8 **Skills** Computers Programming: C/C++, CUDA, Python, Matlab Web programming: HTML, CSS, PHP Operating systems: Windows, Linux Real-time middleware: ROS Scientific standard tools: LaTeX, svn, git, doxygen, bash, eclipse, gnuplot, make, cmake, ... Libraries: OpenCV, Qt, numpy/scipy, matplotlib/pylab Languages German, Czech: mother tongues English, French: fluent Spanish: advanced level Japanese:basic level **Interests** Tennis, volleyball, bodybuilding, Go, playing the violin, real-time strategy games (Starcraft)

Publications

mathieu-lefort

	Learning to be attractive: probabilistic computation with dynamic attractor networks Alexander Gepperth , Mathieu Lefort Internal Conference on Development and LEarning (ICDL), 2016, Cergy-Pontoise, France Communication dans un congrès hal-01418141v1
	Learning of local predictable representations in partially learnable environments Mathieu Lefort , Alexander Gepperth The International Joint Conference on Neural Networks (IJCNN), Jul 2015, Killarney, Ireland Communication dans un congrès hal-01205611v1
	Active learning of local predictable representations with artificial curiosity Mathieu Lefort , Alexander Gepperth International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob), Aug 2015, Providence, United States Communication dans un congrès hal-01205619v1
	Biologically inspired incremental learning for high-dimensional spaces Alexander Gepperth , Thomas Hecht , Mathieu Lefort , Ursula Körner Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346155⟩ Communication dans un congrès hal-01250961v1
	Using self-organizing maps for regression: the importance of the output function Thomas Hecht , Mathieu Lefort , Alexander Gepperth European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium Communication dans un congrès hal-01251011v1
	Resource-efficient incremental learning in very high dimensions Alexander Gepperth , Mathieu Lefort , Thomas Hecht , Ursula Körner European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium Communication dans un congrès hal-01251015v1
	PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination Mathieu Lefort , Alexander Gepperth IJCNN - International Joint Conference on Neural Networks, Jul 2014, Pékin, China Communication dans un congrès hal-01061662v1
	Discrimination of visual pedestrians data by combining projection and prediction learning Mathieu Lefort , Alexander Gepperth European Symposium on artificial neural networks (ESANN), Apr 2014, Bruges, Belgium Communication dans un congrès hal-01061654v1
	Multimodal space representation driven by self-evaluation of predictability Mathieu Lefort , Thomas Kopinski , Alexander Gepperth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Oct 2014, Gênes, Italy Communication dans un congrès hal-01061668v1
	Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies Alexander Gepperth , Mathieu Lefort International Conference on Artificial Neural Networks (ICANN), Sep 2014, Hamburg, Germany. pp.715 - 722, ⟨10.1007/978-3-319-11179-7_90⟩ Communication dans un congrès hal-01098699v1

Alexander Gepperth

Présentation

Publications

Learning to be attractive: probabilistic computation with dynamic attractor networks

Learning of local predictable representations in partially learnable environments

Active learning of local predictable representations with artificial curiosity

Biologically inspired incremental learning for high-dimensional spaces

Using self-organizing maps for regression: the importance of the output function

Resource-efficient incremental learning in very high dimensions

PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination

Discrimination of visual pedestrians data by combining projection and prediction learning

Multimodal space representation driven by self-evaluation of predictability

Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies