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Kappel, David

  1. Deep Rewiring: Training very sparse deep networks
    2017/11/14 by Guillaume Bellec, David Kappel, Bellec, Guillaume +5 · 26 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Robot Manipulation and Learning #Robotics and Sensor-Based Localization
  2. Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
    2024/10/15 by Y. Tian, Yudou Tian, Neeraj Mohan Sushma +11 · 3 voices
    Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Fault Detection and Control Systems
  3. Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
    2022/06/13 by Anand Subramoney, Subramoney, Anand, Khaleelulla Khan Nazeer +7 · 10 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
  4. Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
    2024/04/29 by Mark Schöne, Neeraj Mohan Sushma, Schöne, Mark +9 · 10 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #CCD and CMOS Imaging Sensors
  5. Language Modeling on a SpiNNaker 2 Neuromorphic Chip
    2023/12/14 by Khaleelulla Khan Nazeer, Nazeer, Khaleelulla Khan, Mark Schöne +10 · 5 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Computation and Language (cs.CL) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE)
  6. Structural plasticity on an accelerated analog neuromorphic hardware\n system
    2019/12/27 by Sebastian Billaudelle, Billaudelle, Sebastian, Benjamin Cramer +11 · 1 citation
    Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
  7. Attention on Abstract Visual Reasoning
    2019/11/14 by Lukas Hahne, Timo Lüddecke, Hahne, Lukas +5 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  8. Block-local learning with probabilistic latent representations
    2023/05/24 by Kappel, David, Nazeer, Khaleelulla Khan, Fokam, Cabrel Teguemne +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Neuromorphic hardware for sustainable AI data centers
    2024/02/04 by Bernhard Vogginger, Vogginger, Bernhard, Amirhossein Rostami +20 · 1 citation
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Applications #Ferroelectric and Negative Capacitance Devices
  10. LAYUP: Asynchronous decentralized gradient descent with LAYer-wise UPdates
    2024/10/08 by Cabrel Teguemne Fokam, Fokam, Cabrel Teguemne, Nieveler, Marcel +8 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #FOS: Computer and information sciences #G.1.6 #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques