Publications associées à Pédagogie de projet

Enforcing Privacy in Distributed Learning With Performance Guarantees

We study the privatization of distributed learning and optimization strategies. We focus on differential privacy schemes and study their effect on performance. We show that the popular additive random perturbation scheme degrades performance because it is ...

Piscataway2023

Backpropagation-free training of deep physical neural networks

Romain Christophe Rémy Fleury, Ali Momeni, Matthieu Francis Malléjac, Babak Rahmani, Marc Philipp Del Hougne

Recent successes in deep learning for vision and natural language processing are attributed to larger models but come with energy consumption and scalability issues. Current training of digital deep-learning models primarily relies on backpropagation that ...

2023

Integrated Model for Comprehensive Digital Education Platforms

Denis Gillet, Maria Jesus Rodriguez Triana, Isabelle Barbara Marie-Hélène Cardia, Juan Carlos Farah, Kim Lan Phan Hoang

The trend towards generalized blended and active learning approaches in engineering education is redefining the requirements and the deployment schemes for digital education platforms. This paper presents a quadriptych techno- pedagogical model highlightin ...

IEEE2022

3D Pose Based Feedback For Physical Exercises

Pascal Fua, Mathieu Salzmann, Isinsu Katircioglu, Sena Kiciroglu, Ziqi Zhao, Hugues François Rémi Vinzant, Yuan Cheng, Ziyi Zhao

Unsupervised self-rehabilitation exercises and physical training can cause serious injuries if performed incorrectly. We introduce a learning-based framework that identifies the mistakes made by a user and proposes corrective measures for easier and safer ...

Springer2022

Human- and machine-centred designs of molecules and materials for sustainability and decarbonization

Sokseiha Muy, Tian Xie

Data-driven approaches based on high-throughput capabilities and machine learning hold promise in revolutionizing human-centred materials discovery for sustainability and decarbonization. This Review examines the strengths and limitations of different trad ...

NATURE PORTFOLIO2022

Active Learning for Imbalanced Civil Infrastructure Data

Diego Matteo Antognini, Adelmo Cristiano Innocenza Malossi, Ioana Giurgiu

Aging civil infrastructures are closely monitored by engineers for damage and critical defects. As the manual inspection of such large structures is costly and time-consuming, we are working towards fully automating the visual inspections to support the pr ...

2022

CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation

Chengkun Li, Min Xu

Cryo-electron tomography (Cryo-ET) has been regarded as a revolution in structural biology and can reveal molecular sociology. Its unprecedented quality enables it to visualize cellular organelles and macromolecular complexes at nanometer resolution with n ...

FRONTIERS MEDIA SA2022

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

Iordan Doytchinov, Qi Yan, Shanci Li, Jianhao Zheng

We present a visual localization system that learns to estimate camera poses in the real world with the help of synthetic data. Despite significant progress in recent years, most learning-based approaches to visual localization target at a single domain an ...

IEEE COMPUTER SOC2022

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Alexandre Massoud Alahi, Megh Hiren Shukla

Advances in computing have enabled widespread access to pose estimation, creating new sources of data streams. Unlike mock set-ups for data collection, tapping into these data streams through on-device active learning allows us to directly sample from the ...

BMVA Press2022

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Pédagogie de projet

Enforcing Privacy in Distributed Learning With Performance Guarantees

Backpropagation-free training of deep physical neural networks

AI-based forecasting for optimised solar energy management and smart grid efficiency

Integrated Model for Comprehensive Digital Education Platforms

3D Pose Based Feedback For Physical Exercises

Human- and machine-centred designs of molecules and materials for sustainability and decarbonization

Active Learning for Imbalanced Civil Infrastructure Data

CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Graph Chatbot

Chattez avec Graph Search

Enforcing Privacy in Distributed Learning With Performance Guarantees

AI-based forecasting for optimised solar energy management and smart grid efficiency

Human- and machine-centred designs of molecules and materials for sustainability and decarbonization

Backpropagation-free training of deep physical neural networks

CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation

Active Learning for Imbalanced Civil Infrastructure Data

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Integrated Model for Comprehensive Digital Education Platforms

3D Pose Based Feedback For Physical Exercises