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Gradient spike function and activation function of SB for different ...
[2504.02507] ZClip: Adaptive Spike Mitigation for LLM Pre-Training
Fractional-Order Spike Timing Dependent Gradient Descent For Multi ...
(PDF) Surrogate Gradient-Based Medical Image Classification Using Spike ...
Immunization of the spike of SARS-CoV-2 and a simple density gradient ...
(PDF) Stochastic gradient ascent learning with spike timing dependent ...
The subsequent development of the spike at R = 10 5 . (a) Wall ...
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(PDF) Advancing Spike Sorting Through Gradient‐Based Preprocessing and ...
Action potential waveforms and spike train analysis of 4 simultaneously ...
2: Comparison of spike triggered averaging results (orange) and the ...
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Exploring Adversarial Attack in Spiking Neural Networks with Spike ...
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The surrogate gradient of the spiking neuron as a function of the ...
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Figure 1 from Surrogate Gradient Learning in Spiking Neural Networks ...
Surrogate gradient descent allows building functional SNNs. (a) Sketch ...
Figure 4 from Surrogate Gradient Learning in Spiking Neural Networks ...
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FIGURE E Diierent surrogate gradient functions to approximate the ...
The Remarkable Robustness of Surrogate Gradient Learning for Instilling ...
Spike-rate encoding of the RB diagonal gradient source image. Results ...
Location of the maximum slope in streamwise pressure gradient in the ...
Commonly used surrogate gradient functions and cosh-based surrogate ...
(PDF) Differentiable Spike: Rethinking Gradient-Descent for Training ...
(PDF) Surrogate Gradient Learning in Spiking Neural Networks: Bringing ...
Preprint: The remarkable robustness of surrogate gradient learning for ...
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Figure 2 from Uncovering the Representation of Spiking Neural Networks ...
Contours of density gradient magnitude. (a) M5_spike, (b) M5_spike_q1 ...
Figure 1 from Effective Surrogate Gradient Learning With High-Order ...
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Smooth Exact Gradient Descent Learning in Spiking Neural Networks ...
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Gradient Clipping: Preventing Exploding Gradients in Deep Learning ...
Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi ...
Uncovering the Representation of Spiking Neural Networks Trained with ...
Estimating reward gradient with spiking discontinuity in two-neuron ...
Figure 1 from Uncovering the Representation of Spiking Neural Networks ...
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Figure 10 from Exploring Adversarial Attack in Spiking Neural Networks ...
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Figure 7 from Uncovering the Representation of Spiking Neural Networks ...
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(a) Spike-based forward and backward passes and weight updates. The net ...
Figure 2 from A supervised multi-spike learning algorithm based on ...
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Figure A.7 from Uncovering the Representation of Spiking Neural ...
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Figure A.5 from Uncovering the Representation of Spiking Neural ...
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Figure 1 from A supervised multi-spike learning algorithm based on ...
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Figure 6 from Uncovering the Representation of Spiking Neural Networks ...
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Figure A.9 from Uncovering the Representation of Spiking Neural ...
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(a) Neuron activation, gradient and weight update computation in ANNs ...
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Density gradient in the y direction shows typical flow field wave ...