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Quentin Fournier
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2020 – today
- 2024
- [c6]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: 5732-5745 - [i10]Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar:
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective. CoRR abs/2405.15895 (2024) - [i9]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 abs/2406.04879 (2024) - [i8]Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar:
Exploring Quantization for Efficient Pre-Training of Transformer Language Models. CoRR abs/2407.11722 (2024) - 2023
- [j4]Quentin Fournier
, Gaétan Marceau Caron, Daniel Aloise:
A Practical Survey on Faster and Lighter Transformers. ACM Comput. Surv. 55(14s): 304:1-304:40 (2023) - [j3]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): 1681-1699 (2023) - [j2]Pierre-Frédérick Denys
, Quentin Fournier
, Michel R. Dagenais:
Distributed computation of the critical path from execution traces. Softw. Pract. Exp. 53(8): 1722-1737 (2023) - [j1]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: 100888 (2023) - [i7]Quentin Fournier, Daniel Aloise, Leandro Rincon Costa:
Language Models for Novelty Detection in System Call Traces. CoRR abs/2309.02206 (2023) - 2022
- [i6]Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier:
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs. CoRR abs/2207.06515 (2022) - 2021
- [c5]Quentin Fournier
, Daniel Aloise, Seyed Vahid Azhari, François Tetreault:
On Improving Deep Learning Trace Analysis with System Call Arguments. MSR 2021: 120-130 - [c4]Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier
:
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs. QRS 2021: 422-433 - [i5]Quentin Fournier, Daniel Aloise:
Empirical comparison between autoencoders and traditional dimensionality reduction methods. CoRR abs/2103.04874 (2021) - [i4]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 abs/2103.04933 (2021) - [i3]Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais:
Automatic Cause Detection of Performance Problems in Web Applications. CoRR abs/2103.04954 (2021) - [i2]Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault:
On Improving Deep Learning Trace Analysis with System Call Arguments. CoRR abs/2103.06915 (2021) - [i1]Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise:
A Practical Survey on Faster and Lighter Transformers. CoRR abs/2103.14636 (2021) - 2020
- [c3]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: 149-159
2010 – 2019
- 2019
- [c2]Quentin Fournier
, Daniel Aloise:
Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods. AIKE 2019: 211-214 - [c1]Quentin Fournier
, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais:
Automatic Cause Detection of Performance Problems in Web Applications. ISSRE Workshops 2019: 398-405
Coauthor Index
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last updated on 2024-08-27 21:58 CEST by the dblp team
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