Using Large Language Models in 10 Lines of Code What deep learning can bring to... A quick demo of Top2Vec With application on 2020 10-K business descriptions cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope How deep generative models can help quants reduce the risk of overfitting? Generating Realistic Synthetic Data in Finance Applications of GANs in Finance My recent attempts at using GANs for simulating realistic stocks returns Takeaways from ICML 2019, Long Beach, California A review of two decades of correlations, hierarchies, networks and clustering in financial markets Autoregressive Convolutional Neural Networks for Asynchronous Time Series Some contributions to the clustering of financial time series - Applications to credit default swaps Clustering CDS: algorithms, distances, stability and convergence rates Clustering Financial Time Series using their Correlations and their Distributions A closer look at correlations 
