default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthieu Martin
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[c9]Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard:
Sequential Counterfactual Risk Minimization. ICML 2023: 40681-40706- [i11]Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard:
Sequential Counterfactual Risk Minimization. CoRR abs/2302.12120 (2023) - 2022
- [c8]Maciej Sliwowski
, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Deep Learning for ECoG Brain-Computer Interface: End-to-End vs. Hand-Crafted Features. AI*IA 2022: 358-373 - [c7]Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard:
Efficient Kernelized UCB for Contextual Bandits. AISTATS 2022: 5689-5720 - [c6]Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati:
Nested Bandits. ICML 2022: 15093-15121 - [i10]Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard:
Efficient Kernel UCB for Contextual Bandits. CoRR abs/2202.05638 (2022) - [i9]Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati:
Nested bandits. CoRR abs/2206.09348 (2022) - [i8]Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance. CoRR abs/2209.03789 (2022) - [i7]Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features. CoRR abs/2210.02544 (2022) - 2021
- [j3]Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre:
Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN. Comput. Biol. Medicine 131: 104268 (2021) - [j2]Matthieu Martin, Fabio Nobile:
PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA. SIAM/ASA J. Uncertain. Quantification 9(3): 979-1012 (2021) - [c5]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML 2021: 4192-4202 - [c4]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. KDD 2021: 1399-1409 - [i6]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR abs/2109.05829 (2021) - [i5]Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Decoding ECoG signal into 3D hand translation using deep learning. CoRR abs/2110.03528 (2021) - 2020
- [c3]Pierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre:
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. MIDL 2020: 205-216 - [c2]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS 2020 - [i4]Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal:
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. CoRR abs/2004.11722 (2020) - [i3]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Effect Estimation in a Low Compliance Setting. CoRR abs/2008.03235 (2020) - [i2]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online non-convex optimization with imperfect feedback. CoRR abs/2010.08496 (2020) - [i1]Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre:
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN. CoRR abs/2012.03014 (2020)
2010 – 2019
- 2019
- [b1]Matthieu Martin:
Reconstruction 3D de données échographiques du cerveau du prématuré et segmentation des ventricules cérébraux et thalami par apprentissage supervisé. (3D reconstruction of brain ultrasound data from premature infants and segmentation of cerebral ventricular system and thalami using supervised learning). Claude Bernard University Lyon 1, France, 2019 - [j1]Blaise Kévin Guépié, Matthieu Martin, Victor Lacrosaz, Marilys Almar, Benoit Guibert, Philippe Delachartre:
Sequential Emboli Detection From Ultrasound Outpatient Data. IEEE J. Biomed. Health Informatics 23(1): 334-341 (2019) - 2011
- [c1]Elie Bursztein, Matthieu Martin, John C. Mitchell:
Text-based CAPTCHA strengths and weaknesses. CCS 2011: 125-138
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 22:49 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
