| Empirical comparison between autoencoders and traditional dimensionality reduction methods Q Fournier, D Aloise 2019 IEEE Second International Conference on Artificial Intelligence and …, 2019 | 72 | 2019 |
| A practical survey on faster and lighter transformers Q Fournier, GM Caron, D Aloise ACM Computing Surveys 55 (14s), 1-40, 2023 | 65 | 2023 |
| 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 | 11 | 2020 |
| 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 | 8 | 2021 |
| 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 | 8 | 2019 |
| Language models for novelty detection in system call traces Q Fournier, D Aloise, LR Costa arXiv preprint arXiv:2309.02206, 2023 | 4 | 2023 |
| Distributed computation of the critical path from execution traces PF Denys, Q Fournier, M Dagenais Software: Practice and Experience, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| Energy and carbon-aware initial VM placement in geographically distributed cloud data centers E Khodayarseresht, A Shameli-Sendi, Q Fournier, M Dagenais Sustainable Computing: Informatics and Systems 39, 100888, 2023 | 2 | 2023 |
| 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 | 1 | 2021 |
| Exploring Quantization for Efficient Pre-Training of Transformer Language Models K Chitsaz, Q Fournier, G Mordido, S Chandar arXiv preprint arXiv:2407.11722, 2024 | | 2024 |
| 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 |
| Machine Learning for Anomaly Detection in Kernel Traces Q Fournier Polytechnique Montréal, 2022 | | 2022 |
Daniel AloisePolytechnique MontréalVerified email at polymtl.ca
