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DeepTreeGANv2: Iterative Pooling of Point Clouds
In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors.
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
Our results demonstrate a high physics accuracy and further consolidate the use of GANs for fast detector simulations.
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
We employ the novel Intel low precision optimization tool (iLoT) for quantization and compare the results to the quantized model from TensorFlow Lite.
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