I am a fourth-year PhD student. My scientific interest lies in understanding the underlying mechanisms of intelligence. My research is currently focused on learning complex behaviors with neural networks. I am working on novel architectures, learning approaches, theoritical frameworks and explainability methods. I always release my code. I also like to read about neuroscience. I am looking for new collaborators!

Education
2016-20: PhD Computer Science & Machine Learning (Defense in June 2020)
Supervised by Prof. Matthieu Cord and Prof. Nicolas Thome
Sorbonne University
Paris
2014-16: Master Computer Science & Machine Learning (Highest Honors)
Supervised by Prof. Matthieu Cord and Prof. Nicolas Thome
Sorbonne University
Paris
2012-14: Associate Major in Economics
Minor in Finance
Sorbonne University
Abu Dhabi
2010-14: Bachelor Major in Computer Science
Minor in Mathematics
Sorbonne University
Paris
Professional Experience
2019: Intern Research directions advised by Devi Parikh (Assoc. Prof. and Research Scientist)
2018: Intern Research directions advised by Andrej Karpathy (Sr. Director of AI)
2016-18: Advisor Optical character recognition Calfa
2014-15: Developer Social network OpeningStage
Teaching
2016-19: Assistant Deep Learning and Pattern Recognition for Computer Vision (Master) Sorbonne University
2016-19: Assistant Practical Introduction to Deep Learning for Image Classification (Master) Sorbonne University
2016-19: Assistant Java and Object-Oriented Programming (Bachelor) Sorbonne University
Publications (* first author or equals contribution)
Conference articles (double-blind, peer-reviewed)
2020 Overcoming Statistical Shortcuts for Open-ended Visual Counting* - arXiv Submitted
2019 RUBi: Reducing Unimodal Biases for Visual Question Answering* - arXiv NeurIPS
2019 MUREL: Multi-step Relational Reasoning for Visual Question Answering* - arXiv CVPR
2019 BLOCK: Bilinear Superdiagonal Fusion for VQA and VRD - arXiv AAAI
2018 Cross-modal Retrieval in the Cooking Context* - arXiv SIGIR
2017 MUTAN: Multimodal Tucker Fusion for Visual Question Answering* - arXiv ICCV
Journals (double-blind, peer-reviewed)
2018 Benchmark Analysis of Representative Deep Neural Network Architectures - arXiv IEEE Access
Workshop articles (double-blind, peer-reviewed)
2018 VQA Challenge - Block Superdiagonal Fusion* - arXiv VQA (CVPR)
2018 Images & Recipes: Retrieval in the Cooking Context* - arXiv DECOR (ICDE)
2017 MUTAN 2.0: Multimodal Tucker Fusion for Visual Question Answering* - arXiv VQA (CVPR)
2016 M2CAI Challenge: ConvNets for Video Frames Classification* - arXiv M2CAI (MICCAI)
Posters
2019 Framework for accelerating research in Deep Learning* - poster Pytorch Conference
2018 Framework for accelerating research in Deep Learning* - poster Pytorch Conference
Theses
2020 PhD Thesis on Deep Learning for Vision and Language Processing* - arXiv Sorbonne University
2016 Master Thesis on Deep Learning for Visual Recognition* - arXiv Sorbonne University
Selected Talks
2019 Artificial Intelligence and its impact on insurance Bluenove
2019 Learning complex behaviours from data Brown University
2019 Introduction to Large Scale Deep Learning MVA MasterClass, ENS
2018 Large Scale Deep Learning Tesla
2017 Recurrent Neural Networks and Visual Question Answering UCA Deep Learning School
2017 Artificial Intelligence and its impact on society Nova
2016 Transfer Learning for Image Classification ML Meetup
Selected Software Releases
2018 Framework for accelerating research in Deep Learning - bootstrap.pytorch 150 stars
2018 Library of convolutional neural networks - pretrained-models.pytorch 6.5k stars
2017 Toolkit for Visual Question Answering - vqa.pytorch 500 stars
2016 Déjà Lu: Website for organizing research papers - djlu.fr 50 stars