Catastrophic Forgetting: Still a Problem for DNNs von Pfülb, B., Gepperth, A., Abdullah, S., Kilian, A.

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Real-time detection and classification of cars in video sequences von Gepperth, A., Edelbrunner, J., Bucher, T.

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On the improvement of model-predictive controllers von Féret, L, Gepperth, A, Lambeck, S

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Applications of multi-objective structure optimization von Gepperth, Alexander, Roth, Stefan

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A comprehensive, application-oriented study of catastrophic forgetting in DNNs von Pfülb, B, Gepperth, A

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On the improvement of model-predictive controllers von Féret, L, Gepperth, A, Lambeck, S

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Simultaneous concept formation driven by predictability von Gepperth, A.

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A comprehensive, application-oriented study of catastrophic forgetting in DNNs von Pfülb, B, Gepperth, A

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Catastrophic forgetting: still a problem for DNNs von Pfülb, B, Gepperth, A, Abdullah, S, Kilian, A

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RGBD object recognition and visual texture classification for indoor semantic mapping von Filliat, D., Battesti, E., Bazeille, S., Duceux, G., Gepperth, A., Harrath, L., Jebari, I., Pereira, R., Tapus, A., Meyer, C., Sio-Hoi Ieng, Benosman, R., Cizeron, E., Mamanna, J., Pothier, B.

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Neural learning methods for visual object detection = Neuronale Lernverfahren zur visuellen Objekterkennung

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Modelling and understanding of chatter von Gepperth, A., Raabe, N., Sandamirskaya, Y., Schoener, G., Szepannek, G., Webber, O., Wolfrum, P.

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A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems von Gepperth, Alexander, Karaoguz, Cem

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An energy-based SOM model not requiring periodic boundary conditions von Gepperth, Alexander

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Incremental learning with a homeostatic self-organizing neural model von Gepperth, Alexander

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Modelling and understanding of chatter von Gepperth, A

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A Study on Catastrophic Forgetting in Deep LSTM Networks von Schak, Monika, Gepperth, Alexander

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Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data von Gepperth, Alexander, Pfülb, Benedikt

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Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic von Hardegen, Christoph, Pfulb, Benedikt, Rieger, Sebastian, Gepperth, Alexander

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Efficient online bootstrapping of sensory representations von Gepperth, Alexander

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