Search Results - "Dambre, Joni"

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  1. 1

    Rotation-invariant convolutional neural networks for galaxy morphology prediction by Dieleman, Sander, Willett, Kyle W., Dambre, Joni

    “…Measuring the morphological parameters of galaxies is a key requirement for studying their formation and evolution. Surveys such as the Sloan Digital Sky…”
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  2. 2

    Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation by Sackesyn, Stijn, Ma, Chonghuai, Dambre, Joni, Bienstman, Peter

    Published in Optics express (27-09-2021)
    “…Nonlinearity mitigation in optical fiber networks is typically handled by electronic Digital Signal Processing (DSP) chips. Such DSP chips are costly,…”
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  3. 3

    A Differentiable Physics Engine for Deep Learning in Robotics by Degrave, Jonas, Hermans, Michiel, Dambre, Joni, Wyffels, Francis

    Published in Frontiers in neurorobotics (07-03-2019)
    “…An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is…”
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  4. 4

    Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch by Laporte, Floris, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (11-04-2019)
    “…We propose a new method for performing photonic circuit simulations based on the scatter matrix formalism. We leverage the popular deep-learning framework…”
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  5. 5

    A training algorithm for networks of high-variability reservoirs by Freiberger, Matthias, Bienstman, Peter, Dambre, Joni

    Published in Scientific reports (02-09-2020)
    “…Physical reservoir computing approaches have gained increased attention in recent years due to their potential for low-energy high-performance computing…”
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  6. 6

    Experimental demonstration of reservoir computing on a silicon photonics chip by Vandoorne, Kristof, Mechet, Pauline, Van Vaerenbergh, Thomas, Fiers, Martin, Morthier, Geert, Verstraeten, David, Schrauwen, Benjamin, Dambre, Joni, Bienstman, Peter

    Published in Nature communications (24-03-2014)
    “…In today’s age, companies employ machine learning to extract information from large quantities of data. One of those techniques, reservoir computing (RC), is a…”
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  7. 7

    Simulating self-learning in photorefractive optical reservoir computers by Laporte, Floris, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (29-01-2021)
    “…Photorefractive materials exhibit an interesting plasticity under the influence of an optical field. By extending the finite-difference time-domain method to…”
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  8. 8

    Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video by Pigou, Lionel, van den Oord, Aäron, Dieleman, Sander, Van Herreweghe, Mieke, Dambre, Joni

    Published in International journal of computer vision (01-04-2018)
    “…Recent studies have demonstrated the power of recurrent neural networks for machine translation, image captioning and speech recognition. For the task of…”
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  9. 9

    Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition by Di Wu, Pigou, Lionel, Kindermans, Pieter-Jan, Nam Do-Hoang Le, Ling Shao, Dambre, Joni, Odobez, Jean-Marc

    “…This paper describes a novel method called Deep Dynamic Neural Networks (DDNN) for multimodal gesture recognition. A semi-supervised hierarchical dynamic…”
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  10. 10

    Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths by Gooskens, Emmanuel, Sackesyn, Stijn, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (04-12-2023)
    “…Photonics-based computing approaches in combination with wavelength division multiplexing offer a potential solution to modern data and bandwidth needs. This…”
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  11. 11

    Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout by Ma, Chonghuai, Laporte, Floris, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (04-02-2021)
    “…Using optical hardware for neuromorphic computing has become more and more popular recently, due to its efficient high-speed data processing capabilities and…”
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  12. 12

    Exploiting Signal Propagation Delays to Match Task Memory Requirements in Reservoir Computing by Iacob, Stefan, Dambre, Joni

    Published in Biomimetics (Basel, Switzerland) (14-06-2024)
    “…Recurrent neural networks (RNNs) transmit information over time through recurrent connections. In contrast, biological neural networks use many other temporal…”
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  13. 13

    Comparing different nonlinearities in readout systems for optical neuromorphic computing networks by Ma, Chonghuai, Lambrecht, Joris, Laporte, Floris, Yin, Xin, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (17-12-2021)
    “…Nonlinear activation is a crucial building block of most machine-learning systems. However, unlike in the digital electrical domain, applying a saturating…”
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  14. 14

    Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks by Godin, Fréderic, Degrave, Jonas, Dambre, Joni, De Neve, Wesley

    Published in Pattern recognition letters (01-12-2018)
    “…•A novel unbounded activation function based on ReLUs, which can replace a tanh activation function.•Allows for training large stacks, up to eight layers, of…”
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  15. 15

    Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation by De Coster, Mathieu, Dambre, Joni

    Published in Information (Basel) (01-05-2022)
    “…We consider neural sign language translation: machine translation from signed to written languages using encoder–decoder neural networks. Translating sign…”
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  16. 16

    Neuromorphic Computing Based on Silicon Photonics and Reservoir Computing by Katumba, Andrew, Freiberger, Matthias, Laporte, Floris, Lugnan, Alessio, Sackesyn, Stijn, Chonghuai Ma, Dambre, Joni, Bienstman, Peter

    “…We present our latest progress using new neuromorphic paradigms for optical information processing in silicon photonics. We show how passive reservoir…”
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  17. 17

    Effect of compliance on morphological control of dynamic locomotion with HyQ by Urbain, Gabriel, Barasuol, Victor, Semini, Claudio, Dambre, Joni, wyffels, Francis

    Published in Autonomous robots (01-03-2021)
    “…Classic control theory applied to compliant and soft robots generally involves an increment of computation that has no equivalent in biology. To tackle this,…”
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  18. 18

    Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry by Lugnan, Alessio, Gooskens, Emmanuel, Vatin, Jeremy, Dambre, Joni, Bienstman, Peter

    Published in Scientific reports (26-11-2020)
    “…Machine learning offers promising solutions for high-throughput single-particle analysis in label-free imaging microflow cytomtery. However, the throughput of…”
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  19. 19

    A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing by Katumba, Andrew, Freiberger, Matthias, Bienstman, Peter, Dambre, Joni

    Published in Cognitive computation (01-06-2017)
    “…Photonic reservoir computing has evolved into a viable contender for the next generation of analog computing platforms as industry looks beyond standard…”
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  20. 20

    Automated design of complex dynamic systems by Hermans, Michiel, Schrauwen, Benjamin, Bienstman, Peter, Dambre, Joni

    Published in PloS one (31-01-2014)
    “…Several fields of study are concerned with uniting the concept of computation with that of the design of physical systems. For example, a recent trend in…”
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