Search Results - "Stroobandt, D."

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  1. 1

    An experimental unification of reservoir computing methods by Verstraeten, D., Schrauwen, B., D’Haene, M., Stroobandt, D.

    Published in Neural networks (01-04-2007)
    “…Three different uses of a recurrent neural network (RNN) as a reservoir that is not trained but instead read out by a simple external classification layer have…”
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    Journal Article
  2. 2

    Event detection and localization for small mobile robots using reservoir computing by Antonelo, E.A., Schrauwen, B., Stroobandt, D.

    Published in Neural networks (01-08-2008)
    “…Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at…”
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    Journal Article
  3. 3

    The interpretation and application of Rent's rule by Christie, P., Stroobandt, D.

    “…This paper provides a review of both Rent's rule and the placement models derived from it. It is proposed that the power-law form of Rent's rule, which…”
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    Journal Article
  4. 4

    Isolated word recognition with the Liquid State Machine: a case study by Verstraeten, D., Schrauwen, B., Stroobandt, D., Van Campenhout, J.

    Published in Information processing letters (30-09-2005)
    “…The Liquid State Machine (LSM) is a recently developed computational model with interesting properties. It can be used for pattern classification, function…”
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    Journal Article
  5. 5

    Systematic Simulation-Based Predictive Synthesis of Integrated Optical Interconnect by O'Connor, I., Tissafi-Drissi, F., Gaffiot, F., Dambre, J., De Wilde, M., Van Campenhout, J., Van Thourhout, D., Stroobandt, D.

    “…Integrated optical interconnect has been identified by the ITRS as a potential solution to overcome predicted interconnect limitations in future…”
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    A priori wire length distribution models with multiterminal nets by Stroobandt, D.

    “…Interconnections are quickly becoming a dominant factor in the design of computer chips. Techniques to estimate interconnection lengths a priori (very early in…”
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  8. 8

    Generating synthetic benchmark circuits for evaluating CAD tools by Stroobandt, D., Verplaetse, P., van Campenhout, J.

    “…For the development and evaluation of computer-aided design tools for partitioning, floorplanning, placement, and routing of digital circuits, a huge amount of…”
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    Scalable, Wavelet-Based Video: From Server to Hardware-Accelerated Client by Eeckhaut, H., Devos, H., Lambert, P., De Schrijver, D., Van Lancker, W., Nollet, V., Avasare, P., Clerckx, T., Verdicchio, F., Christiaens, M., Schelkens, P., Van de Walle, R., Stroobandt, D.

    Published in IEEE transactions on multimedia (01-11-2007)
    “…Video source, carrier and client diversification have led the video coding community to develop scalable video codecs supporting efficient decoding at varying…”
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    Journal Article
  11. 11

    Band-pass Reservoir Computing by Wyffels, F., Schrauwen, B., Verstraeten, D., Stroobandt, D.

    “…Many applications of Reservoir Computing (and other signal processing techniques) have to deal with information processing of signals with multiple…”
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    Conference Proceeding Journal Article
  12. 12

    Toward the accurate prediction of placement wire length distributions in VLSI circuits by Dambre, J., Stroobandt, D., Van Campenhout, J.

    “…Since its introduction, Donath's technique for predicting placement wire length distributions has become one of the most popular techniques for a priori wire…”
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  13. 13

    Toward accurate models of achievable routing by Kahng, A.B., Mantik, S., Stroobandt, D.

    “…Models of achievable routing, i.e., chip wireability, rely on estimates of available and required routing resources. Required routing resources are estimated…”
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  14. 14

    Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing by Antonelo, E.A., Schrauwen, B., Stroobandt, D.

    “…The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among…”
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    Conference Proceeding Journal Article
  15. 15

    Predicting reconfigurable interconnect performance in distributed shared-memory systems by Heirman, W., Dambre, J., Artundo, I., Debaes, C., Thienpont, H., Stroobandt, D., Van Campenhout, J.

    Published in Integration (Amsterdam) (01-07-2007)
    “…Reconfigurable interconnection networks have been shown to benefit performance in distributed shared-memory multiprocessor machines. Usually, performance…”
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    Journal Article Conference Proceeding
  16. 16

    A comparison of various terminal-gate relationships for interconnect prediction in VLSI circuits by Dambre, J., Verplaetse, P., Stroobandt, D., Van Campenhout, J.

    “…Over the years, different interpretations of Rent's rule and different ways of estimating the Rent parameters have emerged. In general, these parameters are…”
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  17. 17

    A stochastic model for the interconnection topology of digital circuits by Verplaetse, P., Stroobandt, D., Van Campenhout, J.

    “…Rent's rule has been successfully applied to a priori estimation of wire length distributions. However, this approach is very restrictive: the circuits are…”
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    Journal Article
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    Pruning and regularization in reservoir computing by Dutoit, X., Schrauwen, B., Van Campenhout, J., Stroobandt, D., Van Brussel, H., Nuttin, M.

    Published in Neurocomputing (Amsterdam) (01-03-2009)
    “…Reservoir computing is a new paradigm for using recurrent neural network with a much simpler training method. The key idea is to use a large but fixed…”
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  19. 19

    Improved a priori interconnect predictions and technology extrapolation in the GTX system by Yu Cao, Chenming Hu, Xuejue Huang, Kahng, A.B., Markov, I.L., Oliver, M., Stroobandt, D., Sylvester, D.

    “…A priori interconnect prediction and technology extrapolation are closely intertwined. Interconnect predictions are at the core of technology extrapolation…”
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    Toward better wireload models in the presence of obstacles by Chung-Kuan Cheng, Kahng, A.B., Bao Liu, Stroobandt, D.

    “…Wirelength estimation techniques typically contain a site density function that enumerates all possible path sites for each wirelength in an architecture and…”
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    Journal Article Conference Proceeding