La science n'a pas de patrie parce que le savoir est le patrimoine de l'humanité.
-- Louis Pasteur
Albert is a PhD Candidate in Computer Science à l'institut Mila and at Concordia University, in Montréal, QC, Canada.
Albert is happily co-supervised by Dr Eugene Belilovsky and Dr Guy Wolf; hence, he is part of the Recherche et Analyse Fondamentales d'Apprentissage, Linéarisation et Exploration en Science-des-données (RAFALES) group.
Contact Info
Albert’s current research interests surround model merging, i.e., the integration of multiple models into a single, coherent model… [Continue reading 👉 here]
News
2024
December
[15th]Our paper on “Non-Uniform Parameter-Wise Model Merging” will be presented at the 9th MLBD Special Session, within the IEEE Big Data 2024 conference, in Washington, D.C., USA 🇺🇸.[10th]I will be the Volunteer Chair for the Latinx in AI Workshop at NeurIPS 2024, in Vancouver, BC, Canada 🇨🇦.
November
[27th]I completed my PhD program’s comprehensive exam. From now on, I am officially a PhD Candidate!
September
[2nd]I started TAing again for the INF8245AE: Machine Learning course at the Université de Montréal, under the supervision of Prof Sarath Chandar.[1st]I started TAing for the IFT3395/IFT6390A: Fondements de l’apprentissage machine course at the Université de Montréal, under the supervision of Prof Ioannis Mitliagkas and Prof Dhanya Sridhar.
July
[24th]My colleague, Stefan Horoi, and I presented our work on “Harmony in diversity: Merging neural networks with canonical correlation analysis” at the ICML 2024, in Vienna, Austria 🇦🇹.[22nd]I presented a bit of my work on “Non-Uniform Parameter-Wise Model Merging” at the Latinx in AI Workshop at ICML 2024, in Vienna, Austria 🇦🇹.
June
[11th]Our work on CCA Merging was part of ICLR’s Representational Alignment (Re-Align) workshop, in Vienna, Austria 🇦🇹.
January
[10th]I TA’d again the COMP691: Introduction to Deep Learning course at Concordia University, under the supervision of Prof Eugene Belilovsky.
2023
December
[20th]I completed my PhD program’s coursework requirements. Now, onto research!
August
[2nd]I started TAing for the INF8245AE: Machine Learning course at the Université de Montréal, under the supervision of Prof Sarath Chandar.[1st]I TA’d again the COMP433: Introduction to Deep Learning course at Concordia University, under the supervision of Prof Eugene Belilovsky.
June
[3rd]I graduated with my MSc in Computer Science from McGill University, Montréal, QC, Canada 🇨🇦⚜.
March
[15th]My MSc thesis was approved!
January
[10th]I started TAing for the COMP691: Introduction to Deep Learning course at Concordia University, under the supervision of Prof Eugene Belilovsky.
2022
August
[2nd]I started TAing for the COMP433: Introduction to Deep Learning course at Concordia University, under the supervision of Prof Eugene Belilovsky.[1st]I started my PhD in Computer Science at Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, QC, Canada 🇨🇦⚜.
Continue reading about me for information on past activities.