Isabelle Guyon

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 130

Top Venues

CoRR

ESANN

IJCNN

NeurIPS (Competition and Demos)

Publications

Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Júlio C. S. Jacques Júnior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR (2024)
Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei
Unified Physical-Digital Attack Detection Challenge. CoRR (2024)
Romain Egele, Júlio C. S. Jacques Júnior, Jan N. van Rijn, Isabelle Guyon, Xavier Baró, Albert Clapés, Prasanna Balaprakash, Sergio Escalera, Thomas B. Moeslund, Jun Wan
AI Competitions and Benchmarks: Dataset Development. CoRR (2024)
Hugo Jair Escalante Balderas, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer
Challenge design roadmap. CoRR (2024)
Haozhe Sun, Isabelle Guyon
Modularity in Deep Learning: A Survey. CoRR (2023)
Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. IJCNN (2023)
Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? ESANN (2023)
Romain Égelé, Isabelle Guyon, Venkatram Vishwanath, Prasanna Balaprakash
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization. e-Science (2023)
Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel, Dinh-Tuan Tran, Xavier Baró, Hugo Jair Escalante, Sergio Escalera, Tyler Thomas, Zhen Xu
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges. J. Mach. Learn. Res. 24 (2023)
Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? CoRR (2023)
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. 7 (1) (2023)
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. CoRR (2023)
Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. CoRR (2023)
Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren
Advances in MetaDL: AAAI 2021 challenge and workshop. CoRR (2022)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR (2022)
Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Trans. Affect. Comput. 13 (1) (2022)
Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash
Asynchronous Distributed Bayesian Optimization at HPC Scale. CoRR (2022)
Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR (2022)
Gaëtan Serré, Eva Boguslawski, Benjamin Donnot, Adrien Pavão, Isabelle Guyon, Antoine Marot
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design. CoRR (2022)
Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. CoRR (2022)
Adrien Pavão, Isabelle Guyon, Zhengying Liu
Filtering participants improves generalization in competitions and benchmarks. ESANN (2022)
Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns 3 (7) (2022)
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
OmniPrint: A Configurable Printed Character Synthesizer. CoRR (2022)
Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. J. Mach. Learn. Res. 23 (2022)
Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. 13 (2) (2022)
Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR (2022)
Manh Hung Nguyen, Lisheng Sun, Nathan Grinsztajn, Isabelle Guyon
Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round. CoRR (2022)
Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR (2022)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR (2022)
Manh Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon
Meta-learning from Learning Curves: Challenge Design and Baseline Results. IJCNN (2022)
Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
Investigating synthetic medical time-series resemblance. Neurocomputing 494 (2022)
Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. NeurIPS (2022)
Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu
NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition. IEEE Trans. Cybern. 52 (5) (2022)
Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Didn't see that coming: a survey on non-verbal social human behavior forecasting. CoRR (2022)
Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results. CoRR (2022)
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
LTU Attacker for Membership Inference. CoRR (2022)
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
LTU Attacker for Membership Inference. Algorithms 15 (7) (2022)
Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) (2021)
Clémentine Decamps, Alexis Arnaud, Florent Petitprez, Mira Ayadi, Aurélia Baurès, Lucile Armenoult, Sergio Escalera, Isabelle Guyon, Rémy Nicolle, Richard Tomasini, Aurélien de Reyniès, Jérôme Cros, Yuna Blum, Magali Richard
DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. BMC Bioinform. 22 (1) (2021)
Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren
Advances in MetaDL: AAAI 2021 Challenge and Workshop. MetaDL@AAAI (2021)
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
OmniPrint: A Configurable Printed Character Synthesizer. NeurIPS Datasets and Benchmarks (2021)
Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. DYAD@ICCV (2021)
Adrien Pavao, Isabelle Guyon, Michael Vaccaro
Judging competitions and benchmarks: a candidate election approach. ESANN (2021)
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. CoRR (2021)
Adrien Pavao, Isabelle Guyon, Nachar Stéphane, Fabrice Lebeau, Martin Ghienne, Ludovic Platon, Tristan Barbagelata, Pierre Escamilla, Sana Mzali, Meng Liao, Sylvain Lassonde, Antonin Braun, Slim Ben Amor, Liliana Cucu-Grosjean, Marwan Wehaiba, Avner Bar-Hen, Adriana Gogonel, Alaeddine Ben Cheikh, Marc Duda, Julien Laugel, Mathieu Marauri, Mhamed Souissi, Théo Lecerf, Mehdi Elion, Sonia Tabti, Julien Budynek, Pauline Le Bouteiller, Antonin Penon, Raphaël-David Lasseri, Julien Ripoche, Thomas E. Epalle
Aircraft Numerical "Twin": A Time Series Regression Competition. ICMLA (2021)
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. ECML/PKDD (5) (2021)
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aïdan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero
Learning to run a Power Network Challenge: a Retrospective Analysis. CoRR (2021)
Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR (2021)
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
The Tracking Machine Learning challenge : Throughput phase. CoRR (2021)
Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) (2021)
Romain Égelé, Prasanna Balaprakash, Isabelle Guyon, Venkatram Vishwanath, Fangfang Xia, Rick Stevens, Zhengying Liu
AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data. SC (2021)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR (2021)
Cristina Palmero, Germán Barquero, Júlio C. S. Jacques Júnior, Albert Clapés, Johnny Núñez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B. Moeslund, Isabelle Guyon, Sergio Escalera
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results. DYAD@ICCV (2021)
Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
Quantifying Resemblance of Synthetic Medical Time-Series. ESANN (2021)
Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Didn't see that coming: a survey on non-verbal social human behavior forecasting. DYAD@ICCV (2021)
Manh Hung Nguyen, Isabelle Guyon, Lisheng Sun-Hosoya, Nathan Grinsztajn
MetaREVEAL: RL-based Meta-learning from Learning Curves. IAL@PKDD/ECML (2021)
Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett
The Problem of Fairness in Synthetic Healthcare Data. Entropy 23 (9) (2021)
Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera
Understanding Social Behavior in Dyadic and Small Group Interactions: Preface. DYAD@ICCV (2021)
Sergio Escalera, Marti Soler, Stéphane Ayache, Umut Güçlü, Jun Wan, Meysam Madadi, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon
ChaLearn Looking at People: Inpainting and Denoising challenges. CoRR (2021)
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) (2021)
Zhengying Liu, Isabelle Guyon
Asymptotic Analysis of Meta-learning as a Recommendation Problem. MetaDL@AAAI (2021)
Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) (2020)
Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR (2020)
Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, Sergio Escalera
Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark. NeurIPS (Competition and Demos) (2020)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) (2020)
Sergio Escalera, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Jun Wan, Stéphane Ayache, Yagmur Güçlütürk, Umut Güçlü
Guest Editorial: Image and Video Inpainting and Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett
Medical Time-Series Data Generation Using Generative Adversarial Networks. AIME (2020)
Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath, Isabelle Guyon, Zhengying Liu
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data. CoRR (2020)
Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John S. Erickson, Kristin P. Bennett
Synthesizing Quality Open Data Assets from Private Health Research Studies. BIS (Workshops) (2020)
Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
Generation and evaluation of privacy preserving synthetic health data. Neurocomputing 416 (2020)
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aidan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero
Learning to run a Power Network Challenge: a Retrospective Analysis. NeurIPS (Competition and Demos) (2020)
Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer
Deep Statistical Solvers. NeurIPS (2020)
Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD (2020)
Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu
Towards automated computer vision: analysis of the AutoCV challenges 2019. Pattern Recognit. Lett. 135 (2020)
Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
LEAP nets for system identification and application to power systems. Neurocomputing 416 (2020)
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR (2019)
Antoine Marot, Benjamin Donnot, Camilo Romero, Luca Veyrin-Forrer, Marvin Lerousseau, Balthazar Donon, Isabelle Guyon
Learning to run a power network challenge for training topology controllers. CoRR (2019)
Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. CVPR Workshops (2019)
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
Towards AutoML in the presence of Drift: first results. CoRR (2019)
Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
LEAP nets for power grid perturbations. CoRR (2019)
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
Biases in feature selection with missing data. Neurocomputing 342 (2019)
Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
Privacy Preserving Synthetic Health Data. ESANN (2019)
Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
LEAP nets for power grid perturbations. ESANN (2019)
Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. NeurIPS (Competition and Demos) (2019)
Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot
Graph Neural Solver for Power Systems. IJCNN (2019)
Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
Assessing privacy and quality of synthetic health data. AIDR (2019)
Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition. CoRR (2019)
Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett
Synthetic Event Time Series Health Data Generation. CoRR (2019)
Sergio Escalera, Jordi Gonzàlez, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon
Looking at People Special Issue. Int. J. Comput. Vis. 126 (2-4) (2018)
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici
Fast Power system security analysis with Guided Dropout. CoRR (2018)
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici
Anticipating contingengies in power grids using fast neural net screening. IJCNN (2018)
Sergio Escalera, Xavier Baró, Isabelle Guyon, Hugo Jair Escalante, Georgios Tzimiropoulos, Michel F. Valstar, Maja Pantic, Jeffrey F. Cohn, Takeo Kanade
Guest Editorial: The Computational Face. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
ActivMetal: Algorithm Recommendation with Active Meta Learning. IAL@PKDD/ECML (2018)
Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
Fast Power system security analysis with Guided Dropout. ESANN (2018)
Paolo Calafiura, Steven Farrell, Heather Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin
TrackML: A High Energy Physics Particle Tracking Challenge. eScience (2018)
Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau
Systematics aware learning : a case study in high energy physics. ESANN (2018)

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Publication Activity (10 Years)

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Isabelle Guyon