Hi!
I'm a PhD student in computer science at Université de Montréal/Mila. I am broadly interested in generative modeling and topics bridging computer science, economics and mathematics.
Papers
Expected Flow Networks in Stochastic Environments and Two-Player Zero-Sum Games
ICLR 2024.
An extension of GFlowNets to stochastic environments (EFlowNets) and adversarial environments (AFlowNets) with satisfiable constraints.
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024 (spotlight).
A theoretical and experimental analysis of stability of generative models when they are trained with their own generated samples.
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
NeurIPS 2023.
A novel likelihood-based metric for evaluating generative models which accounts for overfitting (formally known as the Feature Likelihood Score, FLS).
Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms
Expressive Vocalisation Workshop & Competition, ICML 2022.
Training on StyleGAN2 on MEL-Spectrograms of vocal bursts to generate diverse samples corresponding to various emotions.
Regret Dynamics in Online Clustering
IFT 6269, Fall 2021
Analysis of regret dynamics of an online Follow-The-Leader (FTL) k-means algorithm and an online FTL Gaussian Mixture Model (GMM).
Comparison of Losses Used by Generative Adversarial Networks
COMP 598, Fall 2019
Course project for COMP 598 (Mathematical Foundations for Machine Learning) comparing various losses used for the training of GANs.
Projects
Gale-Shapley Interactive Simulation | Interactive Simulation
An interactive, step-by-step, visualization of the Gale-Shapley algorithm in action for random preferences.
Python for Biologists | Github
An introductory Python course for biologists explaining how to get set up, the basic elements of the language and progressively harder exercises.
DPYD Analysis | Github
Data analysis of DPYD variants demonstrating the prevalence of LOF variants in minority populations not considered for testing by provincial guidelines.
Marischedule | Github
Mock schedule builder.
Notes
LaTeX notes (except for one, from the dark days before I learned about LaTeX) for various courses at McGill University:
-
MATH 350: Honours Discrete
Mathematics
- From the lectures of Professor Sergey Norin, Fall 2019.
-
MATH 454: Honours Analysis 3
- From the lectures of Professor Jérôme Vétois, Fall 2019.
-
ECON 352D1: Macroeconomics -
Honours
- From the lectures of Professor Francisco Alvarez-Cuadrado, Fall 2018.
-
ECON 257D2: Economic Statistics -
Honours
- From the lectures of Professor John W. Galbraith, Winter 2018.
-
MATH 222: Calculus 3
- From the lectures of Ibrahim Al Balushi, Summer 2018.