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Kriener, Laura

  1. Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
    2021/10/27 by Paul Haider, Haider, Paul, Benjamin Ellenberger +9 · 1 voice · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #B.8.1 #F.1.1 #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #cs.AI #cs.LG #cs.NE #eess.SP #electronic engineering #information engineering #q-bio.NC
  2. NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
    2023/04/10 by Jason Yik, Korneel Van den Berghe, Yik, Jason +208 · 1 voice · 10 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #cs.AI
  3. DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
    2024/04/30 by Julian Göltz, Jimmy Weber, Göltz, Julian +11 · 6 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Analog and Mixed-Signal Circuit Design #Emerging Technologies (cs.ET) #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  4. The Role of Temporal Hierarchy in Spiking Neural Networks
    2024/07/26 by Moro, Filippo, Aceituno, Pau Vilimelis, Kriener, Laura +1 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  5. The Yin-Yang dataset
    2021/02/16 by Kriener, Laura, Göltz, Julian, Petrovici, Mihai A. · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
  6. Learning efficient backprojections across cortical hierarchies in real time
    2022/12/20 by Kevin Max, Max, Kevin, Laura Kriener +10 · 2 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  7. Backpropagation through space, time, and the brain
    2024/03/25 by Ellenberger, Benjamin, Haider, Paul, Jordan, Jakob +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
  8. MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units
    2025/05/13 by Billaudelle, Sebastian, Kriener, Laura, Moro, Filippo +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering