Sander M. Bohté

1. Conditional Time Series Forecasting with Convolutional Neural Networks
   2017/03/14 by Anastasia Borovykh, Borovykh, Anastasia, Sander M. Bohté +3 · 41 citations
   Decision Sciences · Computer Science · Economics, Econometrics and Finance · #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #Complex Systems and Time Series Analysis
2. Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
   2021/03/12 by Bojian Yin, Yin, Bojian, Federico Corradi +3 · 26 citations
   Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing #Neural Networks and Applications
3. Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
   2021/12/20 by Bojian Yin, Yin, Bojian, Federico Corradi +3 · 10 citations
   Engineering · Neuroscience · Computer Science · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neural Networks and Reservoir Computing
4. Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
   2020/05/24 by Bojian Yin, Yin, Bojian, Federico Corradi +3 · 9 citations
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
5. NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
   2023/04/10 by Jason Yik, Yik, Jason, Korneel Van den Berghe +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
6. Balanced Resonate-and-Fire Neurons
   2024/02/02 by Saya Higuchi, Sebastian Kairat, Higuchi, Saya +5 · 9 citations
   Neuroscience · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Photoreceptor and optogenetics research
7. Fractionally Predictive Spiking Neurons
   2010/10/29 by Sander M. Bohté, Bohte, Sander M., Jaldert O. Rombouts +1 · 2 citations
   Engineering · Neuroscience · Physics and Astronomy · #Advanced Memory and Neural Computing #C.1.3 #FOS: Biological sciences #FOS: Computer and information sciences #G.1.2 #I.2.6 #I.5.1 #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #stochastic dynamics and bifurcation
8. Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications
   2021/11/24 by Nikolaj T. Mücke, Mücke, Nikolaj T., Benjamin Sanderse +5 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
9. A Biologically Plausible Learning Rule for Deep Learning in the Brain
   2018/11/05 by Isabella Pozzi, Pozzi, Isabella, Sander M. Bohté +3 · 1 citation
   Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
10. Reduced Order Modeling for Parameterized Time-Dependent PDEs using\n Spatially and Memory Aware Deep Learning
    2020/11/23 by Nikolaj T. Mücke, Mücke, Nikolaj T., Sander M. Bohté +3 · 1 citation
    Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
11. The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
    2024/06/04 by Nikolaj T. Mücke, Sander M. Bohté, Mücke, Nikolaj T. +3 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Hydrological Forecasting Using AI
12. DPSNN: Spiking Neural Network for Low-Latency Streaming Speech Enhancement
    2024/08/14 by Tao Sun, Sun, Tao, Sander M. Bohté +1 · 1 citation
    Computer Science · Engineering · Neuroscience · #Acoustic Wave Phenomena Research #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Hearing Loss and Rehabilitation #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering