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https://arxiv.org/pdf/1612.00005v2.pdf
Generating high-resolution, photo-realistic images has been a long-standing goal in machine learning. Recently, Nguyen et al. (2016) showed one interesting wa…
leo-p updated
7 years ago
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Thank you for sharing the reanalysis with me!
Currently, the resampling scheme in the reanalysis does not reflect what is described in the paper:
> We employed a more stringent variant known as …
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We need a Mono audio as the input (time domain and/or FFT/frequency domain data). I need a time instant as the output.
Someone suggested Tensor Flow: https://www.tensorflow.org/guide/extend/cc?fbcl…
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Representation learning (RL) has been an established discipline in the machine learning space for decades but it draws tremendous attention lately with the emergence of deep learning. The central prob…
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# Abstract
In recent years, the application of machine learning and deep learning to classical cryptanalysis is an active research field.
In this project, we perform quantum cryptanalysis that combi…
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on strategic sampling and active learning. Here, you may also choose examples that built …
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The goal here is to collect thoughts on principles for writing modular, composable, and reusable code in science. The idea is heavily influenced by @substack's fantastic ["How I write modules"](http:/…
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Hi,
This is more of a question concerning the _grf_ module rather than an issue. We tried to use _grf.CausalForest_ to estimate the heterogeneous causal effect with multiple treatments. In our case…
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# Li, Dong, Wu et al. 2016
## bioRxiv
*http://doi.org/10.1101/086421*
## Abstract
> Characterizing the binding behaviors of RNA-binding proteins (RBPs) is important for understanding
thei…
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Subplots of the scans as discussed:
https://nbviewer.jupyter.org/urls/dl.dropbox.com/s/t8iq09mx3wq1bpc/COVID_PCA_2.ipynb