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ORCIDSam Leroux
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2020 – today
- 2024
[j13]Sander De Coninck
, Wei-Cheng Wang, Sam Leroux, Pieter Simoens:
Privacy-preserving visual analysis: training video obfuscation models without sensitive labels. Appl. Intell. 54(8): 6041-6052 (2024)- [c17]Sander De Coninck, Sam Leroux, Pieter Simoens:
Mitigating Bias Using Model-Agnostic Data Attribution. CVPR Workshops 2024: 235-243 - [c16]Sam Leroux, Dewant Katare, Aaron Yi Ding, Pieter Simoens:
Test-time Specialization of Dynamic Neural Networks. CVPR Workshops 2024: 1048-1056 - [c15]Sam Leroux, Stijn Vanassche, Pieter Simoens:
Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications. CVPR Workshops 2024: 2121-2130 - [c14]Thorsten Cardoen, Sam Leroux, Pieter Simoens:
Label Efficient Lifelong Multi-View Broiler Detection. CVPR Workshops 2024: 5393-5402 - [c13]Mattijs Baert, Sam Leroux, Pieter Simoens:
Learning Temporal Task Specifications From Demonstrations. EXTRAAMAS 2024: 81-98 - [i18]Sander De Coninck, Wei-Cheng Wang, Sam Leroux, Pieter Simoens:
Mitigating Bias Using Model-Agnostic Data Attribution. CoRR abs/2405.05031 (2024) - [i17]Mattijs Baert, Sam Leroux, Pieter Simoens:
Learning Task Specifications from Demonstrations as Probabilistic Automata. CoRR abs/2409.07091 (2024) - 2023
- [j12]Sam Leroux, Pieter Simoens:
Sparse random neural networks for online anomaly detection on sensor nodes. Future Gener. Comput. Syst. 144: 327-343 (2023) - [j11]Mattijs Baert, Sam Leroux, Pieter Simoens:
Inverse reinforcement learning through logic constraint inference. Mach. Learn. 112(7): 2593-2618 (2023) - [c12]Mattijs Baert, Sam Leroux, Pieter Simoens:
Learning Logic Constraints From Demonstration. NeSy 2023: 78-84 - [i16]Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens:
Maximum Causal Entropy Inverse Constrained Reinforcement Learning. CoRR abs/2305.02857 (2023) - [i15]Mattijs Baert, Sam Leroux, Pieter Simoens:
Learning Safety Constraints From Demonstration Using One-Class Decision Trees. CoRR abs/2312.08837 (2023) - 2022
- [j10]Sam Leroux, Bo Li, Pieter Simoens:
Automated training of location-specific edge models for traffic counting. Comput. Electr. Eng. 99: 107763 (2022) - [j9]Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Iterative neural networks for adaptive inference on resource-constrained devices. Neural Comput. Appl. 34(13): 10321-10336 (2022) - [j8]Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens:
An Opt-in Framework for Privacy Protection in Audio-Based Applications. IEEE Pervasive Comput. 21(4): 17-24 (2022) - [j7]Thorsten Cardoen, Sam Leroux, Pieter Simoens:
Iterative Online 3D Reconstruction from RGB Images. Sensors 22(24): 9782 (2022) - [c11]Sam Leroux, Pieter Simoens, Meelis Lootus, Kartik Thakore, Akshay Sharma:
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption. IPDPS Workshops 2022: 1003-1010 - [c10]Sam Leroux, Bo Li, Pieter Simoens:
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions. WACV 2022: 3027-3035 - [i14]Meelis Lootus, Kartik Thakore, Sam Leroux, Geert Trooskens, Akshay Sharma, Holly Ly:
A VM/Containerized Approach for Scaling TinyML Applications. CoRR abs/2202.05057 (2022) - [i13]Sam Leroux, Pieter Simoens, Meelis Lootus, Kartik Thakore, Akshay Sharma:
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption. CoRR abs/2203.10923 (2022) - [i12]James Marien, Sam Leroux, Bart Dhoedt, Cedric De Boom:
Audio-guided Album Cover Art Generation with Genetic Algorithms. CoRR abs/2207.07162 (2022) - [i11]Sander De Coninck, Wei-Cheng Wang, Sam Leroux, Pieter Simoens:
Selective manipulation of disentangled representations for privacy-aware facial image processing. CoRR abs/2208.12632 (2022) - 2021
- [j6]Bo Li, Sam Leroux, Pieter Simoens:
Decoupled appearance and motion learning for efficient anomaly detection in surveillance video. Comput. Vis. Image Underst. 210: 103249 (2021) - [i10]Mattijs Baert, Sam Leroux, Pieter Simoens:
Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition. CoRR abs/2101.07529 (2021) - [i9]Sander De Coninck, Sam Leroux, Pieter Simoens:
Privacy Aware Person Detection in Surveillance Data. CoRR abs/2110.15171 (2021) - 2020
- [j5]Sam Leroux, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Training binary neural networks with knowledge transfer. Neurocomputing 396: 534-541 (2020) - [c9]Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. IROS 2020: 8148-8153 - [i8]Bo Li, Sam Leroux, Pieter Simoens:
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video. CoRR abs/2011.05054 (2020)
2010 – 2019
- 2019
- [j4]Amirreza Yousefzadeh, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Mina A. Khoei, Sahar Hosseini, Priscila C. Holanda, Sam Leroux, Orlando Moreira, Jonathan Tapson, Bart Dhoedt, Pieter Simoens:
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 668-678 (2019) - [j3]Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. 97: 355-360 (2019) - [c8]Amirreza Yousefzadeh, Sahar Hosseini, Priscila C. Holanda, Sam Leroux, Thilo Werner, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Bart Dhoedt, Pieter Simoens:
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization. AICAS 2019: 81-85 - 2018
- [j2]Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. J. Syst. Softw. 141: 52-65 (2018) - [c7]Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas M. Breuel, Jan Kautz:
IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification. ICLR (Workshop) 2018 - [c6]Sam Leroux, Steven Bohez, Pieter-Jan Maenhaut, Nathan Meheus, Pieter Simoens, Bart Dhoedt:
Fingerprinting encrypted network traffic types using machine learning. NOMS 2018: 1-5 - [i7]Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas M. Breuel, Jan Kautz:
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification. CoRR abs/1804.10123 (2018) - [i6]Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Privacy Aware Offloading of Deep Neural Networks. CoRR abs/1805.12024 (2018) - [i5]Xander Steenbrugge, Sam Leroux, Tim Verbelen, Bart Dhoedt:
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. CoRR abs/1811.04784 (2018) - 2017
- [j1]Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
The cascading neural network: building the Internet of Smart Things. Knowl. Inf. Syst. 52(3): 791-814 (2017) - [i4]Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt:
Decoupled Learning of Environment Characteristics for Safe Exploration. CoRR abs/1708.02838 (2017) - [i3]Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Transfer Learning with Binary Neural Networks. CoRR abs/1711.10761 (2017) - 2016
- [c5]Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Bart Dhoedt, Pieter Simoens:
Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. CloudNet 2016: 218-223 - [c4]Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Multi-fidelity matryoshka neural networks for constrained IoT devices. IJCNN 2016: 1305-1309 - [i2]Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt:
Efficiency Evaluation of Character-level RNN Training Schedules. CoRR abs/1605.02486 (2016) - [i1]Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Lazy Evaluation of Convolutional Filters. CoRR abs/1605.08543 (2016) - 2015
- [c3]Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Resource-constrained classification using a cascade of neural network layers. IJCNN 2015: 1-7 - [c2]Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens:
DIANNE: Distributed Artificial Neural Networks for the Internet of Things. M4IoT@Middleware 2015: 19-24 - [c1]Toon De Pessemier, Sam Leroux, Kris Vanhecke, Luc Martens:
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations. INRA@RecSys 2015: 14-19
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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