Quentin Fournier

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Dimensionality Reduction Methods

Dependency Graphs

Execution Traces

Top Venues

Softw. Pract. Exp.

Publications

Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. CoRR (2024)
Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective. CoRR (2024)
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) (2024)
Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar
Exploring Quantization for Efficient Pre-Training of Transformer Language Models. CoRR (2024)
Mohammad Khanahmadi, Alireza Shameli-Sendi, Masoume Jabbarifar, Quentin Fournier, Michel R. Dagenais
Detection of microservice-based software anomalies based on OpenTracing in cloud. Softw. Pract. Exp. 53 (8) (2023)
Pierre-Frédérick Denys, Quentin Fournier, Michel R. Dagenais
Distributed computation of the critical path from execution traces. Softw. Pract. Exp. 53 (8) (2023)
Ehsan Khodayarseresht, Alireza Shameli-Sendi, Quentin Fournier, Michel R. Dagenais
Energy and carbon-aware initial VM placement in geographically distributed cloud data centers. Sustain. Comput. Informatics Syst. 39 (2023)
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
A Practical Survey on Faster and Lighter Transformers. ACM Comput. Surv. 55 (14s) (2023)
Quentin Fournier, Daniel Aloise, Leandro Rincon Costa
Language Models for Novelty Detection in System Call Traces. CoRR (2023)
Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs. CoRR (2022)
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
A Practical Survey on Faster and Lighter Transformers. CoRR (2021)
Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs. QRS (2021)
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
Automatic Cause Detection of Performance Problems in Web Applications. CoRR (2021)
Quentin Fournier, Daniel Aloise
Empirical comparison between autoencoders and traditional dimensionality reduction methods. CoRR (2021)
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault
On Improving Deep Learning Trace Analysis with System Call Arguments. MSR (2021)
Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj
DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing. CoRR (2021)
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault
On Improving Deep Learning Trace Analysis with System Call Arguments. CoRR (2021)
Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj
DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing. SCAM (2020)
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
Automatic Cause Detection of Performance Problems in Web Applications. ISSRE Workshops (2019)
Quentin Fournier, Daniel Aloise
Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods. AIKE (2019)