Understanding, improving, and generalizing generative models

Hamiltonian Monte Carlo and consistent sampling for score matching based generative modeling

On the bias-variance tradeoff : textbooks need an update

Optimization and game dynamics in machine learning

Optimization and game dynamics in machine learning

Novel Audio and Video Media Ingestion and Processing Layers for Efficient Deep Learning Architectures

Capacités d’IA en vision pour l’inspection autonome et la compréhension de scène

Self-supervised learning to learn meaningful representations of hyperspectral retinal images

Building a privacy-preserving federated recommender system for mobile devices

Design and develop a computer vision system to detect anomalies in the bus stop using the SCiNe device of BusPas

Design and develop a speech to intent system for numerical data

Deep Transfer Learning for Diagnostics from Eye Fundus Images

Deep Learning for drug molecule and target representation

Towards a Foundation Model for Scene Understanding in Autonomous Driving

Understanding User’s Adoption Path on Dreeven Platform using AI

Développement d'une méthode non-supervisée d'apprentissage profond pour la détection de défaillance à partir de signaux acoustiques et vibratoires

Évaluation automatique de la véracité du texte produit par les grands modèles de langage

Adapter un modèle de diffusion à la génération de photos de mode

Detection of « Total Loss » claims through images

Développement des modèles de classification et de prédiction en utilisant les techniques d’apprentissage machine sur les paramètres physiologiques pour le triage des patients durant les situations de catastrophes (VIMY Multi-system)

‹‹HomePorter Advanced Search Tool››

Leveraging Stacks of Predictors for Efficient Inference and Uncertainty Estimation

Recherche et development d’un modèles de prédiction de niveau de nappe phréatique pour une plateforme d’aide à la décision de type SaaS pour une application d’optimisation environnementale

Consistent and robust Generative Models for Volatility Surfaces

Pre-training large models that generalize well across the chemical space

Comparison of algorithms for predicting drug-target interactions and performance benefits of ensemble learning

Virtual sensor estimation model for turbine labyrinth seal displacements with Deep Learning technics

ML/DL for Action Detection in Movies for Haptic Effects Generation

Indoor Object Detection for Blind People

High-frequency financial forecasting

Estimation visuelle securitaire et explicable des conditions routieres

A Classification and Comparative Study of Existing Fast Reinforcement Learning Techniques

Design et implémentation d'un outil AutoML

Reinforcement Learning based Graph Convolutional Recommender Systems

Real-time AI-based Anomaly Detection of 5G Network Latency ** Extension with new objectives and deliverables **

Deep Learning Classification and model compression

Fuzzy Entity Matching

Climate Investment Impact AI Model

Face Matching 1 to N

Automated Open World Gameplay Exploration with Curiosity-driven Reinforcement Learning

Can Knowledge Transfer in a Genetic Algorithm Accelerate Hyper-Parameter Tuning of a Deep Neural Network?

Theory and Methods for OOD Generalization and Robust Learning

Apogée Canada fonds d'excellence en recherche / Bourse d'excellence IVADO au postdoctoraux Nicolas Loizou

Fonds de recherche - fonds de recherche - Concours postdoc 2019-2e édition Nicolas Loizou Optimization Algorithms for Machine Learning and Deep learning

Apprentissage par renforcement pour la planification de la production dans le réseau électrique québécois de 2035

Développement d'une méthode non-supervisée d'apprentissage profond pour la détection de défaillance à partir de signaux acoustiques et vibratoires

Real-time AI-based Anomaly Detection of 5G Network Latency

Solar irradiance nowcasting using partially labeled data

Transition model for insurance risks

Using AI to help first responders assess skin burns

Automatic Trailer Generation

Utilisation de l’apprentissage par renforcement pour la prévision de la demande énergétique

AI-enabled molecular search database

Creation of real estate valuation model, combining different sources of information

Differentially private models for detection of previously seen data

AI/ML classification of underwater contacts for defense applications

Multi-sensor object detection and localization for inspection robots

Transfer learning in a Solar Radiation Forecasting context

3D Brain lesion detection from MRI images

Méthode algorithmique d’apprentissage pour améliorer l’impact de systèmes de dialogue

Multi modal information extraction for visually rich documents

Development of a microbiome relevant image-capture food analysis tool.

Object occlusion detection

Portrait photo segmentation and generation with Deep Neural Network

Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

Applying state-of-art NLP models to molecular representation

Multi-Domain Recommendation for Restaurants Using GNN Models

Indoor object detection for personal assistant for the blind

Pattern Recognition and Event Forecasting to Increase the Performance of Industrial Bioprocesses, in an Effort to Accelerate the Sustainable

Digital transformation with glassware

Mise en place d’Espace Données

Estimation of turbine runner blade measured strains from indirect measurements using machine learning

Semi supervised object detection

Detection of missing words

Active learning for visual detection on inspection robots

Computer Vision R&D project - Autonomous Robot Assistant

Brain Lesion Detection

Short term Electrical Load Forecasting

Power network transfer capability (Phase II – data error detection)

New molecular representation, molecular generation, and data mining strategies for thedesign of SARS-CoV-2 therapies

GROKVIDEO

Contextual portrait detection

Improvement of covid-19 treatment with machine learning

Computer Vision for Crop Weed Identification

Predicting demand and inventory shortages for better inventory management in health care institutions

Supplément COVID-19 CRSNG_Optimization and game dynamics in machine learning

Advancing traceability in informal supply chains through applied AI and ML

Automate key elements of the patient journey in the Medical Context

Monitoring of turbine runner blade strains from indirect measurements using AI

Discovery of Root Causes of Quality Deviations in Electronics Manufacturing

Solar Radiation Forecasting

Optimisation adaptive de l'apprentissage profond: généralisation, dynamiques du système et adaptation du domaine

Predicting demand and inventory shortages for better inventory management in health care institutions

Automated Pilot Performance Assessment

Impact of personas on cross-domain recommendation systems for online food ordering

Interactive Video Tutoring Module

Development of prediction models in smart buildings using data driven approaches through Artificial Intelligence

Programme de fonds de démarrage et d'opération pour professeur IVADO - Compte fonds de d'opération - Ioannis Mitlliagkas

Programme de fonds de démarrage et d'opération pour professeur IVADO - Compte fonds de démarrage - Ioannis Mitlliagkas