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Mélanie Ducoffe
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Books and Theses
- 2018
- [b1]Mélanie Ducoffe:
Active learning and input space analysis for deep networks. (Active learning et visualisation des données d'apprentissage pour les réseaux de neurones profonds). University of Côte d'Azur, Nice, France, 2018
Journal Articles
- 2024
- [j2]Mélanie Ducoffe, Christophe Gabreau, Ileana Ober, Iulian Ober, Guillaume Vidot:
Certification of avionic software based on machine learning: the case for formal monotony analysis. Int. J. Softw. Tools Technol. Transf. 26(2): 189-205 (2024) - 2020
- [j1]Olga Fink
, Qin Wang, Markus Svensén, Pierre Dersin, Wan-Jui Lee, Melanie Ducoffe:
Potential, challenges and future directions for deep learning in prognostics and health management applications. Eng. Appl. Artif. Intell. 92: 103678 (2020)
Conference and Workshop Papers
- 2023
- [c8]Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodème, Thomas Serre:
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CVPR 2023: 16153-16163 - 2022
- [c7]Guillaume Vidot
, Mélanie Ducoffe
, Christophe Gabreau, Ileana Ober
, Iulian Ober
:
Formal Monotony Analysis of Neural Networks with Mixed Inputs: An Asset for Certification. FMICS 2022: 15-31 - 2021
- [c6]Adrien Gauffriau, François Malgouyres, Mélanie Ducoffe:
Overestimation Learning with Guarantees. SafeAI@AAAI 2021 - 2020
- [c5]Melanie Ducoffe, Sébastien Gerchinovitz, Jayant Sen Gupta:
A High Probability Safety Guarantee for Shifted Neural Network Surrogates. SafeAI@AAAI 2020: 74-82 - 2018
- [c4]Laurent Vanni, Mélanie Ducoffe, Carlos Aguilar, Frédéric Precioso, Damon Mayaffre:
Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis. ACL (1) 2018: 548-557 - [c3]Nicolas Courty, Rémi Flamary, Mélanie Ducoffe:
Learning Wasserstein Embeddings. ICLR (Poster) 2018 - 2017
- [c2]Ferran Argelaguet, Melanie Ducoffe, Anatole Lécuyer, Rémi Gribonval:
Spatial and rotation invariant 3D gesture recognition based on sparse representation. 3DUI 2017: 158-167 - [c1]Melanie Ducoffe, Frédéric Precioso:
Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee. ESANN 2017
Informal and Other Publications
- 2024
- [i12]Mélanie Ducoffe, Guillaume Povéda, Audrey Galametz, Ryma Boumazouza, Marion-Cécile Martin, Julien Baris, Derk Daverschot, Eugene O'Higgins:
Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance. CoRR abs/2401.06821 (2024) - [i11]Yizhak Yisrael Elboher, Raya Elsaleh, Omri Isac, Mélanie Ducoffe, Audrey Galametz, Guillaume Povéda, Ryma Boumazouza, Noémie Cohen, Guy Katz:
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing. CoRR abs/2402.00035 (2024) - [i10]Noémie Cohen, Mélanie Ducoffe, Ryma Boumazouza, Christophe Gabreau, Claire Pagetti, Xavier Pucel, Audrey Galametz:
Verification for Object Detection - IBP IoU. CoRR abs/2403.08788 (2024) - [i9]Cyril Cappi, Noémie Cohen, Mélanie Ducoffe, Christophe Gabreau, Laurent Gardes, Adrien Gauffriau, Jean-Brice Ginestet, Franck Mamalet, Vincent Mussot, Claire Pagetti, David Vigouroux:
How to design a dataset compliant with an ML-based system ODD? CoRR abs/2406.14027 (2024) - 2023
- [i8]Mélanie Ducoffe, Maxime Carrere, Léo Féliers, Adrien Gauffriau, Vincent Mussot, Claire Pagetti, Thierry Sammour:
LARD - Landing Approach Runway Detection - Dataset for Vision Based Landing. CoRR abs/2304.09938 (2023) - 2022
- [i7]Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodeme, Thomas Serre:
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CoRR abs/2202.07728 (2022) - 2021
- [i6]Adrien Gauffriau, François Malgouyres
, Mélanie Ducoffe:
Overestimation learning with guarantees. CoRR abs/2101.11717 (2021) - 2020
- [i5]Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink
:
Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. CoRR abs/2005.07031 (2020) - 2018
- [i4]Melanie Ducoffe, Frédéric Precioso:
Adversarial Active Learning for Deep Networks: a Margin Based Approach. CoRR abs/1802.09841 (2018) - 2017
- [i3]Nicolas Courty, Rémi Flamary, Mélanie Ducoffe:
Learning Wasserstein Embeddings. CoRR abs/1710.07457 (2017) - 2016
- [i2]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - 2015
- [i1]Melanie Ducoffe, Frédéric Precioso:
QBDC: Query by dropout committee for training deep supervised architecture. CoRR abs/1511.06412 (2015)
Coauthor Index
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