Reading Notes

Reading notes

Introduction: My Reading Notes

StemGNN

Summary: stateDiagram-v2 with_spectral_matrix_representation: Spectral Matrix Representation with_temporal_patterns_in_freq_domain: Temporal Patterns in Frequency Domain with_latent_correlation: Latent Correlation Representation dft_repr: Discrete Fourier Transformed Representation conv_dft_repr: Convolved DFT Representation [*] -- with_latent_correlation: Latent Correlation Layer with_latent_correlation -- with_latent_correlation state with_latent_correlation { state with_spectral_matrix_representation { [*] -- dft_repr: Discrete Fourier Transform dft_repr -- conv_dft_repr: 1DConv conv_dft_repr -- gated_conv_dft_repr: Gated Linear Unit gated_conv_dft_repr -- inverse_dft_gated_conv_dft_repr: IDFT } [*] -- with_spectral_matrix_representation: Graph Fourier Transform note right of with_spectral_matrix_representation: This happens in Spe-Seq Cell with_spectral_matrix_representation -- with_temporal_patterns_in_freq_domain with_temporal_patterns_in_freq_domain -- with_conv_temporal_patterns: Graph Convolution with_conv_temporal_patterns -- with_timeseries_restored: IGFT with_timeseries_restored -- Forecast with_timeseries_restored -- Backcast } note right of with_latent_correlation: This is done in StemGNN Block with_latent_correlation -- [*]
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Self-supervised Learning: Generative or Constrastive

Summary: Review of self-supervised learning.
Types: { paper }
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Normalizing Flows: An Introduction and Review of Current Methods

Summary: To generate complicated distributions step by step from a simple and interpretable distribution.
Types: { paper }
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The Grammar of Graphics

Summary: Reading notes for the book The Grammar of Graphics
Types: { book }
Status: 10%

Improving Document Ranking with Dual Word Embeddings

Summary: Word2vec produces two embedding spaces, the in-embedding and out-embedding.
Types: { paper }
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The Art of Data Science

Summary: A nice and elegant book on data science
Types: { book }
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Human Graphical Perception of Quantitative Information in Data Visualization

Summary: Data visualization caveats
Types: { paper }
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Information Theory and Statistical Mechanics

Summary: Max entropy principle as a method to infer distributions of statistical systems
Types: { paper }
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Schaum's Outline of Theories and Problems of Elements of Statistics I and II

Summary: The basics and all of modern statistics
References: - Schaum's Outline of Theories and Problems of Elements of Statistics I and II, by Ruth Bernstein and Stephen Bernstein
Types: { book }
Status: 80%

Data Mining: Concepts and Techniques

Summary: How data mining was done in the past
Types: { book }
Tags:
#data mining
Status: 70%

Overcoming catastrophic forgetting in neural networks

Summary: Using a newly defined loss function the authors could implement an idea that achieves the multi-task within one network.
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Working Memory and Brain Waves

Summary: Working memory might be related to the background brain waves from theoretical point of view
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Popularity versus similarity in growing networks

Summary: Introduce geometry into the manifold of complex networks
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