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Sander W. Keemink

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2020 – today

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2024
[c2]
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  dblp key:
  - conf/ecms/ScheringKT24
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an Schering, Sander W. Keemink, Johannes Textor:
Fitting Stochastic Lattice Models Using Approximate Gradients. ECMS 2024: 366-373
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  - journals/corr/abs-2405-08967
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Jesús García Fernández, Sander W. Keemink, Marcel van Gerven:
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations. CoRR abs/2405.08967 (2024)
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  - journals/corr/abs-2406-02765
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Sigur de Vries, Sander W. Keemink, Marcel van Gerven:
Discovering Dynamic Symbolic Policies with Genetic Programming. CoRR abs/2406.02765 (2024)
2022
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  - journals/corr/abs-2212-12887
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Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos:
Closed-form control with spike coding networks. CoRR abs/2212.12887 (2022)
2020
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  - conf/nips/MancooKM20
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Allan Mancoo, Sander W. Keemink, Christian K. Machens:
Understanding spiking networks through convex optimization. NeurIPS 2020
[i1]
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  - journals/corr/abs-2009-03857
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Michele Nardin, James W. Phillips, William F. Podlaski, Sander W. Keemink:
Nonlinear computations in spiking neural networks through multiplicative synapses. CoRR abs/2009.03857 (2020)

2010 – 2019

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2018
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Sander W. Keemink, Dharmesh Tailor, Mark C. W. van Rossum:
Unconscious Biases in Neural Populations Coding Multiple Stimuli. Neural Comput. 30(12) (2018)

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