Education
Ph.D. in Computer Science, 2023 - present
EPFLM.Sc. in Computer Science, 2020 -2023
Mila and University of MontrealB.Sc. in Electrical Engineering, 2015-2020
Sharif University of Technology
Research Interests
Out-of-distribution generalization (Vision and Language)
Causal Structure and Representation Learning
Object-centric Learning
Google Scholar Github Linkedin Twitter CV (2023)
Publications
Please refer to google scholar for an up-to-date list of publications.
Amin Mansouri, MSc Thesis
Toward Causal Representation and Structure LearningKartik Ahuja, Amin Mansouri
On Provable Length and Compositional Generalization
Preprint, 2024Mohammad Hossein Amani, Nicolas Baldwin, Amin Mansouri, Martin Josifoski, Maxime Peyrard, Robert West
Symbolic Autoencoding for Self-Supervised Sequence Learning
Preprint 2024 (Under Review, please send an email for the manuscript)Kartik Ahuja*, Amin Mansouri*, Yixin Wang
Multi-Domain Causal Representation Learning via Weak Distributional Invariances
AISTATS 2024, NeurIPS 2023 Causal Representation Learning WorkshopAmin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio
Object-centric architectures enable efficient causal representation learning
ICLR 2024 (main track), NeurIPS 2023 Causal Representation Learning WorkshopTrang Nguyen, Amin Mansouri, Kanika Madan, Nguyen Duy Khuong, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
Reusable Slotwise Mechanisms
NeurIPS 2023 (main track)Amin Mansouri, Jason Hartford, Kartik Ahuja, Yoshua Bengio
Object-Centric Causal Representation Learning
NeurIPS 2022, NeurReps workshopAmin Mansouri, Sean Spinney, Amin Memarian, Patricia Conrod, Irina Rish
Identifying Invariant and Sparse Predictors in High-dimensional Data
ICML 2021, workshop on Uncertainty & Robustness in Deep Learning, 2021
News
January 2024, Two papers on Causal Representation Learning accepted at ICLR and AISTATS! Object centric architectures enable efficient causal representation learning got accepted to ICLR and Multi-Domain Causal Representation Learning via Weak Distributional Invariances got accepted to AISTATS! See you in Vienna and Valencia!
2023 October, My thesis Toward Causal Structure and Representation Learning was approved and is nominated for Dean's Honor List (Decisions to be announced in summer 2024).
2023 September-October, 3 papers accepted at NeurIPS! Reusable Slotwise Mechanisms (main track), Object-centric architectures enable efficient causal representation learning, and Multi-Domain Causal Representation Learning via Weak Distributional Invariances in Causal Representation Learning workshop!
2023 July, Participated in Mila and CIFAR Deep Learning and Reinforcement Learning Summer School in Montreal
2023 May, Participated in Amii's flagship event, Upperbound AI Conference in Edmonton, Alberta (with travel bursary)
October 2022, Our workshop paper Object-Centric Causal Representation Learning got accepted at NeurIPS Symmetry and Geometry in Neural Representations
July 2022, I'm serving as a reviewer for the Montreal AI Symposium (MAIS) 2022
January 2022, I joined Mila's 2022 Entrepreneurs Cohort (Though I learned a lot, I think that's not for me yet)
2021 July, Our paper Identifying Invariant and Sparse Predictors in High-dimensional Data was accepted at the ICML workshop on Uncertainty & Robustness in Deep Learning.
I'll be joining the Data Science Lab (dlab) at EPFL (Lausanne) from May to August 2021 for the Summer@EPFL Program.
2020 September 1st, Excited to officially start my journey at Mila, starting an M.Sc. in Computer Science, Machine Learning specialization
2020 September, Actually created this homepage :)
2020 August, Participated in Mila and CIFAR Deep Learning and Reinforcement Learning Summer School
2020 July, Graduated from Sharif Univ. of Tech. in Electrical Engineering (Digital Systems Specialization)
2019 August, Joining Riken AIP (Fukuoka, Japan) for a summer internship
2019 February, Started playing piano
2018 July, joining ETH Zurich and the wonderful Institute for Neuroinformatics for a summer internship
2017 June, Starting as the deputy director for the student association of EE Department at Sharif Univ. of Tech (1 year)
2016 November, Joining EE department's Makeathon team as the marketing director and the member of event's committee.
2015 September, Starting my bachelor's in Electrical Engineering at Sharif Univ. of Tech.
Awards
2023 January, I was awarded University of Montreal's Scholarship for Excellence in Artificial Intelligence Research
2023 January, I was awarded EPFL IC school's prestigious Doctoral Fellowship
2022 November, I was awarded the University of Montreal's scholarship for Excellence in Research
2021 November, I was awarded the University of Montreal's scholarship for Excellence in Research
May 2021, I was awarded the Summer@EPFL fellowship.
2020 December, Thanks to Microsoft for supporting our research with a generous scholarship for promoting a diverse AI community.
2020 December, Thanks to the Faculty of Arts and Sciences at UdeM for supporting our research with a generous scholarship for joining different strands of the Montreal Declaration for a Responsible Development of Artificial Intelligence.
2014 September, Silver Medal in the National Olympiad on Astrophysics and Astronomy
2013 September, Bronze Medal in the National Olympiad on Astrophysics and Astronomy