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Quentin Fournier
Quentin Fournier
Research Fellow at Mila - Quebec AI Institute
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Empirical comparison between autoencoders and traditional dimensionality reduction methods
Q Fournier, D Aloise
2019 IEEE Second International Conference on Artificial Intelligence and …, 2019
692019
A practical survey on faster and lighter transformers
Q Fournier, GM Caron, D Aloise
ACM Computing Surveys 55 (14s), 1-40, 2023
602023
Depgraph: Localizing performance bottlenecks in multi-core applications using waiting dependency graphs and software tracing
N Ezzati-Jivan, Q Fournier, MR Dagenais, A Hamou-Lhadj
2020 IEEE 20th International Working Conference on Source Code Analysis and …, 2020
112020
On improving deep learning trace analysis with system call arguments
Q Fournier, D Aloise, SV Azhari, F Tetreault
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
82021
Automatic cause detection of performance problems in web applications
Q Fournier, N Ezzati-Jivan, D Aloise, MR Dagenais
2019 IEEE International Symposium on Software Reliability Engineering …, 2019
82019
Language Models for Novelty Detection in System Call Traces
Q Fournier, D Aloise, LR Costa
arXiv preprint arXiv:2309.02206, 2023
32023
Distributed computation of the critical path from execution traces
PF Denys, Q Fournier, M Dagenais
Software: Practice and Experience, 2023
32023
Detection of microservice‐based software anomalies based on OpenTracing in cloud
M Khanahmadi, A Shameli‐Sendi, M Jabbarifar, Q Fournier, M Dagenais
Software: Practice and Experience, 2023
32023
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs
S Patel, B Park, N Ezzati-Jivan, Q Fournier
2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021
12021
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
M Thakkar, Q Fournier, MD Riemer, PY Chen, A Zouaq, P Das, S Chandar
arXiv preprint arXiv:2406.04879, 2024
2024
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective
P Malviya, J Huang, Q Fournier, S Chandar
arXiv preprint arXiv: 2405.15895, 2024
2024
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