Sam Leroux

Orcid: 0000-0003-3792-5026

According to our database1, Sam Leroux authored at least 45 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Privacy-preserving visual analysis: training video obfuscation models without sensitive labels.
Appl. Intell., April, 2024

Learning Task Specifications from Demonstrations as Probabilistic Automata.
CoRR, 2024

Mitigating Bias Using Model-Agnostic Data Attribution.
CoRR, 2024

Learning Temporal Task Specifications From Demonstrations.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2024

Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test-time Specialization of Dynamic Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mitigating Bias Using Model-Agnostic Data Attribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Label Efficient Lifelong Multi-View Broiler Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Inverse reinforcement learning through logic constraint inference.
Mach. Learn., July, 2023

Sparse random neural networks for online anomaly detection on sensor nodes.
Future Gener. Comput. Syst., July, 2023

Learning Safety Constraints From Demonstration Using One-Class Decision Trees.
CoRR, 2023

Maximum Causal Entropy Inverse Constrained Reinforcement Learning.
CoRR, 2023

Learning Logic Constraints From Demonstration.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022
Iterative Online 3D Reconstruction from RGB Images.
Sensors, 2022

An Opt-in Framework for Privacy Protection in Audio-Based Applications.
IEEE Pervasive Comput., 2022

Iterative neural networks for adaptive inference on resource-constrained devices.
Neural Comput. Appl., 2022

Selective manipulation of disentangled representations for privacy-aware facial image processing.
CoRR, 2022

Audio-guided Album Cover Art Generation with Genetic Algorithms.
CoRR, 2022

A VM/Containerized Approach for Scaling TinyML Applications.
CoRR, 2022

Automated training of location-specific edge models for traffic counting.
Comput. Electr. Eng., 2022

Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

TinyMLOps: Operational Challenges for Widespread Edge AI Adoption.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Decoupled appearance and motion learning for efficient anomaly detection in surveillance video.
Comput. Vis. Image Underst., 2021

Privacy Aware Person Detection in Surveillance Data.
CoRR, 2021

Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition.
CoRR, 2021

2020
Training binary neural networks with knowledge transfer.
Neurocomputing, 2020

Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things.
Future Gener. Comput. Syst., 2019

Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure.
J. Syst. Softw., 2018

Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations.
CoRR, 2018

Privacy Aware Offloading of Deep Neural Networks.
CoRR, 2018

Fingerprinting encrypted network traffic types using machine learning.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
The cascading neural network: building the Internet of Smart Things.
Knowl. Inf. Syst., 2017

Transfer Learning with Binary Neural Networks.
CoRR, 2017

Decoupled Learning of Environment Characteristics for Safe Exploration.
CoRR, 2017

2016
Lazy Evaluation of Convolutional Filters.
CoRR, 2016

Efficiency Evaluation of Character-level RNN Training Schedules.
CoRR, 2016

Multi-fidelity matryoshka neural networks for constrained IoT devices.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud.
Proceedings of the 5th IEEE International Conference on Cloud Networking, 2016

2015
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations.
Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

DIANNE: Distributed Artificial Neural Networks for the Internet of Things.
Proceedings of the 2nd Workshop on Middleware for Context-Aware Applications in the IoT, 2015

Resource-constrained classification using a cascade of neural network layers.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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