
Easy Trick to Debias GenAI Models: Quantile Convolution
- Vincent Granville
- November 26, 2023
All of the GenAI apps that I tested, including my own, have the same problem. They cannot easily generate data outside the observation range. As an example, let’s focus on the insurance dataset discussed in my new book. I use it to generate synthetic data with GAN (generative adversarial networks) and the NoGAN models discussed […]
Read More
New Book: Understanding Deep Learning
- Vincent Granville
- November 16, 2023
By Simon Prince, computer science Professor at the University of Alberta. To be published by MIT Press, Dec 2023. The author shares the associated Jupyter notebooks on his website, here. Very popular, it got over 5,000 likes when the author announced the upcoming book on LinkedIn. I pre-ordered my copy. Summary An authoritative, accessible, and […]
Read More
Quantum Derivatives, GenAI, and the Riemann Hypothesis
- Vincent Granville
- November 12, 2023
Have you ever encountered a function or cumulative probability distribution (CDF) that is nowhere differentiable, yet continuous everywhere? Some are featured in this article. For a CDF, it means that it does not have a probability density function (PDF), and for a standard function, it has no derivative. At least, not until now. The quantum […]
Read More
Number Theory: Longest Runs of Zeros in Binary Digits of Square Root of 2
- Vincent Granville
- October 27, 2023
Studying the longest head runs in coin tossing has a very long history, starting in gaming and probability theory. Today, it has applications in cryptography and insurance. For random sequences or Bernoulli trials, the associated statistical properties and distributions have been studied in detail, even when the proportions of zero and one are different. Yet, […]
Read More
NoGAN: New Generation of Synthetic Data (Video)
- Vincent Granville
- September 28, 2023
My talk at the Generative AI Conference, London, September 2023. View or download the PowerPoint presentation, here. I introduce a new, NoGAN alternative to standard tabular data synthetization. It is designed to run faster by several orders of magnitude, compared to training generative adversarial networks (GAN). In addition, the quality of the generated data is […]
Read More
GenAI: Fast Data Synthetization with Distribution-free Hierarchical Bayesian Models
- Vincent Granville
- September 22, 2023
Deep learning models such as generative adversarial networks (GAN) require a lot of computing power, and are thus expensive. Also, they may not convergence. What if you could produce better data synthetizations, in a fraction of the time, with explainable AI and substantial cost savings? This is what Hierarchical Deep Resampling was designed for. It […]
Read More
New Python Library to Evaluate AI-generated Data and Compare Models
- Vincent Granville
- September 19, 2023
Called GenAI-Evalution, you use it for instance to assess the quality of tabular synthetic data. In this case, it measures how faithfully the synthetization mimics the real data it is derived from, by comparing the full joint empirical distributions (ECDF) attached to the two datasets. It works both with categorical and numerical features, and returns […]
Read More
How to Fix a Failing Generative Adversarial Network
- Vincent Granville
- August 12, 2023
In this article, I explore different front-end strategies to improve a generative adversarial network (GAN) that leads to poor synthetization, in the context of tabular data generation. It is well known that tabular data is a lot more challenging than images, when using deep neural networks for synthetization purposes. An algorithm may work very well […]
Read More
Generated Data vs Monte-Carlo Simulations: What are the Differences?
- Vincent Granville
- July 7, 2023
I sometimes get asked this question: could you use simulations instead of synthetizations? Below is my answer, also focusing on some particular aspects of data synthetizations, that differentiate them from other techniques. Simulations do not simulate joint distributions Sure, if all your features behave like a mixture of multivariate normal distributions, you can use GMMs […]
Read More
High-value AI and Machine Learning Certifications Under $50
- Vincent Granville
- May 21, 2023
Our AI/ML research lab now offers a quick path to certification in generative AI and other modern topics relevant to new developments in the industry, as well as traditional and specialized certifications and training. All in Python. Probably the fastest and most affordable way to earn professional, high value credentials offered by one of the […]
Read More
You must be logged in to post a comment.