---
title: "Matthieu Courbariaux — author profile and papers in our library"
description: "Matthieu Courbariaux, Mila - Quebec Artificial Intelligence Institute: 3 papers on Elamur Research (2015–2016), h-index 11 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/matthieu-courbariaux/"
---
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# Matthieu Courbariaux

Matthieu Courbariaux has 3 papers in our library, in 2015–2016, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Yoshua Bengio](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/), [Daniel Soudry](https://md.research.elamur.ai/free/en/authors/daniel-soudry/), [Itay Hubara](https://md.research.elamur.ai/free/en/authors/itay-hubara/).

3 papers in our library · 2015–2016

[OpenAlex](https://openalex.org/A5039449234) · [**h-index 11**](https://openalex.org/authors/A5039449234) · [16 works](https://openalex.org/works?filter=author.id:A5039449234) · [6,476 citations](https://openalex.org/works?filter=author.id:A5039449234&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/matthieu-courbariaux/#papers) · [🔗 Cited 392 times in our library](https://md.research.elamur.ai/free/en/authors/matthieu-courbariaux/cited-by/) · [⭐ Paper Stars ranking: #625](https://md.research.elamur.ai/free/en/paper-stars/page/7/#star-625)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Matthieu+Courbariaux) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matthieu+Courbariaux) · [dblp](https://dblp.org/search?q=Matthieu+Courbariaux) · [ACL Anthology](https://aclanthology.org/search/?q=Matthieu+Courbariaux)

## Affiliations

[🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2018–2024 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**Université de Montréal** Montreal · Canada 2015–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🎓**Polytechnique Montréal** Montreal · Canada 2014–2015 · 3 papers](https://md.research.elamur.ai/free/en/universities/polytechnique-montreal/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering · 3 works](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Electrical and Electronic Engineering · 3 works](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/)

🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2010s

[**2016** 2 papers](https://md.research.elamur.ai/free/en/authors/matthieu-courbariaux/year/2016/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/matthieu-courbariaux/year/2015/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1](https://md.research.elamur.ai/free/en/papers/courbariaux-2016-binarized-neural-networks-training-deep/)** *(2016 · 2,143 citations)* This work tackles the cost of running deep networks on low-power hardware. Modern DNNs depend on energy-hungry GPUs and full-precision arithmetic. The authors propose Binarized Neural Networks (BNNs), in which weights and hidden activations take only the values +1 or −1. These binary values are used both at inference…
2. **[BinaryConnect: Training Deep Neural Networks with binary weights during propagations](https://md.research.elamur.ai/free/en/papers/courbariaux-2015-binaryconnect-training-deep-neural-networks/)** *(2015 · 1,885 citations)* Multipliers are the most area- and energy-hungry parts of digital neural network hardware. This paper asks whether a deep network can be trained while its weights take only two values (+1 or −1) during computation, so that most multiply-accumulate operations become additions and subtractions. BinaryConnect binarizes…
3. **[Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations](https://md.research.elamur.ai/free/en/papers/hubara-2016-quantized-neural-networks-training-neural/)** *(2016 · 1,610 citations)* The paper tackles the high cost of running deep networks, whose many multiply-accumulate operations make them slow and power-hungry on ordinary hardware and low-power devices.

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Yoshua Bengio](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/) ×3
- [Daniel Soudry](https://md.research.elamur.ai/free/en/authors/daniel-soudry/) ×2
- [Itay Hubara](https://md.research.elamur.ai/free/en/authors/itay-hubara/) ×2
- [Ran El-Yaniv](https://md.research.elamur.ai/free/en/authors/ran-el-yaniv/) ×2

## Cited by

Papers of our library cite their works 392 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthieu-courbariaux/cited-by/).

Updated 2 November 2026
