Victor Boutin

Orcid: 0000-0003-3372-5940

According to our database1, Victor Boutin authored at least 18 papers between 2018 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.
CoRR, 2023

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment.
IEEE Access, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Proceedings of the International Conference on Machine Learning, 2023

2022
Pooling strategies in V1 can account for the functional and structural diversity across species.
PLoS Comput. Biol., 2022

Framework for Vertical Performance Assessment in Very Large-Scale Cellular Networks.
IEEE Internet Things J., 2022

A Large-Scale Simulator for NB-IoT.
IEEE Access, 2022

Diversity vs. Recognizability: Human-like generalization in one-shot generative models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Sparse deep predictive coding captures contour integration capabilities of the early visual system.
PLoS Comput. Biol., 2021

A homeostatic gain control mechanism to improve event-driven object recognition.
Proceedings of the 18th International Conference on Content-Based Multimedia Indexing, 2021

Simulating Large-Scale 5G Networks.
Proceedings of the 4th IEEE 5G World Forum, 2021

Offloading autonomous vehicle machine learning algorithms to the 5G edge: A proof of concept implementation.
Proceedings of the 4th IEEE 5G World Forum, 2021

2020
Effect of Top-Down Connections in Hierarchical Sparse Coding.
Neural Comput., 2020

Iterative VAE as a predictive brain model for out-of-distribution generalization.
CoRR, 2020

2019
Meaningful representations emerge from Sparse Deep Predictive Coding.
CoRR, 2019

2018
From biological vision to unsupervised hierarchical sparse coding.
CoRR, 2018

M<sup>2</sup>APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018


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