Alain Tapp
- Professeur titulaire
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Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle
André-Aisenstadt, room 3345
Media
Profile
Research expertise
Professor and associate member of MILA, the Montreal Institute for Learning Algorithms, Alain Tapp, is a long-time researcher in physics, computer science, and mathematics. From his early studies in these fields, he now brings his expertise to artificial intelligence and deep learning.
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Affiliations and responsabilities
Research affiliations
Teaching and supervision
Student supervision
Theses and dissertation supervision (Papyrus Institutional Repository)
Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
Cycle : Master's
Grade : M. Sc.
Apprentissage de modèles causaux par réseaux de neurones artificiels
Cycle : Master's
Grade : M. Sc.
Identifying electrons with deep learning methods
Cycle : Master's
Grade : M. Sc.
Data-efficient reinforcement learning with self-predictive representations
Cycle : Master's
Grade : M. Sc.
Learning discrete word embeddings to achieve better interpretability and processing efficiency
Cycle : Master's
Grade : M. Sc.
Privacy evaluation of fairness-enhancing pre-processing techniques
Cycle : Master's
Grade : M. Sc.
Compression in Sequence to Sequence Learning for Natural Language Processing
Cycle : Master's
Grade : M. Sc.
Learning a graph made of boolean function nodes : a new approach in machine learning
Cycle : Master's
Grade : M. Sc.
Interactive quantum information theory
Cycle : Doctoral
Grade : Ph. D.
Privacy in Bitcoin through decentralized mixers
Cycle : Master's
Grade : M. Sc.
FPGA-based object detection using classification circuits
Cycle : Master's
Grade : M. Sc.
SAND, un protocole de chiffrement symétrique incompressible à structure simple
Cycle : Master's
Grade : M. Sc.
Practical and Foundational Aspects of Secure Computation
Cycle : Doctoral
Grade : Ph. D.
From Classical to Quantum Secret Sharing
Cycle : Master's
Grade : M. Sc.
Complexité de la communication sur un canal avec délai
Cycle : Master's
Grade : M. Sc.
Amplification de l'amplitude : analyse et applications
Cycle : Master's
Grade : M. Sc.
Quantum nonlocality, cryptography and complexity
Cycle : Doctoral
Grade : Ph. D.
Développement d'une fonction d'évaluation pour le jeu de go
Cycle : Master's
Grade : M. Sc.
Projects
Research projects
DEEL – DEpendable & Explainable Learning
NSERC CREATE Program on Machine Learning in Quantitative Finance and Business Analytics
Learning priors for data-efficient causal discovery
Knowledge-based inference for question answering and information retrieval
Machine learning for the analysis of the Large Hadron Collider Data at CERN
Utilisation de réseau profond pour la simplification automatique de textes
Utilisation de l'apprentissage automatique pour la classification de courriels
NSERC CREATE IN BUILDING A WORKFORCE FOR THE CRYPTOGRAPHIC INFRASTRUCTURE OF THE 21ST CENTURY (CRYPTOWORKS21)
Utilisation de l'apprentissage automatique pour la classification de courriels
REGROUPEMENT STRATÉGIQUE - INSTITUT TRANSDISCIPLINAIRE D'INFORMATIQUE QUANTIQUE (INTRIQ)
REGROUPEMENT STRATEGIQUE - INSTITUT TRANSDISCIPLINAIRE D'INFORMATIQUE QUANTIQUE (INTRIQ)
INSTITUT TRANSDISCIPLINAIRE D'INFORMATIQUE QUANTIQUE (INTRIQ)
THE FIFTH CANADIAN SUMMER SCHOOL ON QUANTUM INFORMATION
Disciplines
- Computer Science
- Physics
- Pure Mathematics
Areas of expertise
- Artificial intelligence
- Theoretical computer science
- Natural-language processing (NLP)