Isabelle M Guyon

Isabelle Guyon, Harris Drucker, Yann LeCun, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Discovering Informative Patterns and Data Cleaning

Isabelle Guyon, Nada Matic, Vladimir Vapnik, 1996, Advances in Knowledge Discovery and Data Mining.

Biases in feature selection with missing data

Isabelle Guyon, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, 2019, Neurocomputing.

Support Vector Regression (SVR)

D. Hardin, A. Statnikov, C. Aliferis, 2011 .

Handwritten digit recognition: applications of neural network chips and automatic learning

I. Guyon, Y. Le Cun, L.D. Jackel, 1989, IEEE Communications Magazine.

Signature Verification Using A "Siamese" Time Delay Neural Network

Yann LeCun, Isabelle Guyon, Eduard Säckinger, 1993, Int. J. Pattern Recognit. Artif. Intell..

Neural Network Recognizer for Hand-Written Zip Code Digits

Isabelle Guyon, Lawrence D. Jackel, Henry S. Baird, 1988, NIPS.

ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results

Wei-Wei Tu, T. Moeslund, Albert Clapés, 2021, DYAD@ICCV.

Detecting stable clusters using principal component analysis.

I. Guyon, A. Ben-Hur, I. Ramadass Subramanian, 2003, Methods in molecular biology.

Meta-learning from Learning Curves: Challenge Design and Baseline Results

Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle M Guyon, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Multimodal First Impression Analysis with Deep Residual Networks

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2018, IEEE Transactions on Affective Computing.

Visualizing Apparent Personality Analysis with Deep Residual Networks

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

UvA-DARE (Digital Academic Repository) Causal Effect Inference with Deep Latent-Variable Models

R. Fergus, I. Guyon, Samy Bengio, 2017 .

UvA-DARE (Digital Academic Repository) Causal Effect Inference with Deep Latent-Variable Models Causal Effect Inference with Deep Latent-Variable Models

R. Fergus, Samy Bengio, R. Garnett, 2017 .

The TrackML Particle Tracking Challenge

Heather Gray, Paolo Calafiura, David Rousseau, 2018 .

The ATLAS Higgs Boson Machine Learning Challenge

B. Kégl, C. Adam-Bourdarios, G. Cowan, 2014 .

Robust deep learning: A case study

David Rousseau, Isabelle Guyon, Victor Estrade, 2017 .

Systematics aware learning : a case study in high energy physics

Isabelle Guyon, David Rousseau, Cécile Germain, 2018, ESANN.

The Higgs boson machine learning challenge

Balázs Kégl, David Rousseau, Cécile Germain, 2014, HEPML@NIPS.

Learning algorithms for classification: A comparison on handwritten digit recognition

Harris Drucker, Lawrence D. Jackel, Patrice Y. Simard, 1995 .

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning pdf

Hossein Mobahi, Samy Bengio, Gintare Karolina Dziugaite, 2020, ArXiv.

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

I. Guyon, M. Sebag, David Lopez-Paz, 2018, J. Mach. Learn. Res..

Results of the Active Learning Challenge

Isabelle Guyon, Gavin C. Cawley, Vincent Lemaire, 2011, Active Learning and Experimental Design @ AISTATS.

Design of experiments for the NIPS 2003 variable selection benchmark

Isabelle Guyon, I. Guyon, Isabelle M Guyon, 2003 .

On-line cursive script recognition using time-delay neural networks and hidden Markov models

Isabelle Guyon, Markus Schenkel, Donnie Henderson, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Clustering: Science or Art?

Isabelle Guyon, Ulrike von Luxburg, Robert C. Williamson, 2009, ICML Unsupervised and Transfer Learning.

Development Projects for the CausalityWorkbench

Isabelle Guyon, Alexander R. Statnikov, Jean-Philippe Pellet, 2010, AAAI Spring Symposium: Artificial Intelligence for Development.

Causality : Objectives and Assessment

Isabelle Guyon, Bernhard Schölkopf, Dominik Janzing, 2010 .

Development Projects for the Causality Workbench

Isabelle Guyon, Isabelle M Guyon, 2010 .

Writer independent and writer adaptive neural network for on-line character recognition

Yann LeCun, Isabelle Guyon, P. Albrecht, 1992 .

What Size Test Set Gives Good Error Rate Estimates?

Isabelle Guyon, Richard M. Schwartz, John Makhoul, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Penacée: A Neural Net System for Recognizing On-Line Handwriting

Isabelle Guyon, J. Bromley, N. Matić, 1996 .

Recognition-based segmentation of on-line run-on handprinted words: Input vs. output segmentation

Isabelle Guyon, Markus Schenkel, Donnie Henderson, 1994, Pattern Recognit..

Writer-adaptation for on-line handwritten character recognition

Isabelle Guyon, Nada Matic, John S. Denker, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

Computer aided cleaning of large databases for character recognition

Isabelle Guyon, Léon Bottou, Vladimir Vapnik, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

Design of a neural network character recognizer for a touch terminal

Isabelle Guyon, Yann LeCun, John S. Denker, 1991, Pattern Recognit..

Causal Generative Neural Networks

I. Guyon, M. Sebag, David Lopez-Paz, 2017, 1711.08936.

The Tracking Machine Learning Challenge: Throughput Phase pdf

Isabelle Guyon, Steven Farrell, Marcel Kunze, 2021, Computing and Software for Big Science.

The Tracking Machine Learning Challenge: Accuracy Phase

Cécile Germain, D. Rousseau, S. Farrell, 2019, The NeurIPS '18 Competition.

Neural networks for power flow: Graph neural solver

Isabelle Guyon, Marc Schoenauer, Antoine Marot, 2020, Electric Power Systems Research.

A gentle introduction to support vector machines in biomedicine: Volume 1: Theory and methods

Constantin F. Aliferis, Alexander Statnikov, Isabelle Guyon, 2011 .

Statistical Learning and Kernel Methods in Bioinformatics

Isabelle Guyon, Bernhard Schölkopf, Jason Weston, 2003 .

Design and Analysis of the NIPS 2016 Review Process pdf

Isabelle Guyon, Ulrike von Luxburg, Nihar B. Shah, 2017, J. Mach. Learn. Res..

Design of a linguistic postprocessor using variable memory length Markov models

Isabelle Guyon, Fernando Pereira, Fernando C Pereira, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

Isabelle Guyon, Michael McCourt, Zhen Xu, 2021, NeurIPS.

Comparison of learning algorithms for handwritten digit recognition

Harris Drucker, Lawrence D. Jackel, Patrice Y. Simard, 1995 .

Automatic Capacity Tuning of Very Large VC-Dimension Classifiers

Isabelle Guyon, Bernhard E. Boser, Vladimir Vapnik, 1992, NIPS.

Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark

Isabelle Guyon, Jiwen Li, Markus Uhr, 2007, Pattern Recognit. Lett..

TrackML: A High Energy Physics Particle Tracking Challenge

Isabelle Guyon, Heather Gray, Paolo Calafiura, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

Neural Connectomics Challenge

Isabelle Guyon, Vincent Lemaire, Jordi Soriano, 2017 .

Design of the first neuronal connectomics challenge: From imaging to connectivity

Isabelle Guyon, Vincent Lemaire, Jordi Soriano, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Model Selection: Beyond the Bayesian/Frequentist Divide

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2010, J. Mach. Learn. Res..

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2008, Neural Networks.

Deep Statistical Solvers

Isabelle Guyon, Marc Schoenauer, Antoine Marot, 2020, NeurIPS.

Graph Neural Solver for Power Systems

Isabelle Guyon, Antoine Marot, Benjamin Donnot, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Introducing machine learning for power system operation support pdf

Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, 2017, ArXiv.

Causality: Objectives and assessment

Isabelle Guyon, Dominik Janzing, Bernhard Schlkopf, 2008, NIPS 2008.

Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019

Sergio Escalera, Jun Wan, Hugo Jair Escalante, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019

Sergio Escalera, Meysam Madadi, Marius Lindauer, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Design of the 2015 ChaLearn AutoML challenge

Sergio Escalera, Isabelle Guyon, Gavin C. Cawley, 2015, IJCNN.

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Sergio Escalera, Marcel A. J. van Gerven, Hugo Jair Escalante, 2018, IEEE Transactions on Affective Computing.

The Problem of Fairness in Synthetic Healthcare Data

John S. Erickson, Kristin P. Bennett, Karan Bhanot, 2021, Entropy.

Benchmarking in cluster analysis: A white paper

I. Guyon, A. Boulesteix, N. Dean, 2018, 1809.10496.

ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention

Sergio Escalera, Isabelle Guyon, Michèle Sebag, 2016, AutoML@ICML.

Privacy Preserving Synthetic Health Data

Isabelle Guyon, Kristin P. Bennett, Ritik Dutta, 2019, ESANN.

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning

Daniel M. Roy, Samy Bengio, Suriya Gunasekar, 2020, NeurIPS.

Structural Risk Minimization for Character Recognition

Isabelle Guyon, Léon Bottou, Bernhard E. Boser, 1991, NIPS.

Assessment Methods

Isabelle Guyon, Gérard Dreyfus, G. Dreyfus, 2018, A Practical Guide to Toxicology and Human Health Risk Assessment.

Information storage and retrieval in spin-glass like neural networks

I. Guyon, L. Personnaz, G. Dreyfus, 1985 .

An Introduction to Feature Extraction

Isabelle Guyon, André Elisseeff, A. Elisseeff, 2006, Feature Extraction.

High Order Neural Networks for Efficient Associative Memory Design

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987, NIPS.

ChaLearn Looking at People Challenge 2014: Dataset and Results

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2014, ECCV Workshops.

Investigating synthetic medical time-series resemblance

I. Guyon, K. Bennett, Kristin P. Bennett, 2022, Neurocomputing.

Quantifying Resemblance of Synthetic Medical Time-Series

Isabelle Guyon, Kristin P. Bennett, Karan Bhanot, 2021, ESANN.

Generation and evaluation of privacy preserving synthetic health data

Isabelle Guyon, Ritik Dutta, Kristin P. Bennett, 2020, Neurocomputing.

Synthesizing Quality Open Data Assets from Private Health Research Studies

Isabelle Guyon, Kristin P. Bennett, John S. Erickson, 2020, BIS.

Synthetic Event Time Series Health Data Generation pdf

Ritik Dutta, Kristin P. Bennett, Isabelle Guyon, 2019, ArXiv.

Explainable and Interpretable Models in Computer Vision and Machine Learning

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2018, The Springer Series on Challenges in Machine Learning.

Neural networks and applications tutorial

I. Guyon, I. Guyon, I. Ramadass Subramanian, 1991 .

Of points and loops

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1988 .

Neural Networks for Associative Memory Design

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Practical Feature Selection: from Correlation to Causality

Isabelle Guyon, Isabelle M Guyon, 2007, NATO ASI Mining Massive Data Sets for Security.

ActivMetal: Algorithm Recommendation with Active Meta Learning

Michèle Sebag, Lisheng Sun-Hosoya, Isabelle Guyon, 2018, IAL@PKDD/ECML.

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

J. N. Rijn, J. Vanschoren, I. Ullah, 2023, NeurIPS.

NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results

I. Guyon, Xin Wang, Wenwu Zhu, 2022, ArXiv.

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

F. Hutter, I. Guyon, Fábio Ferreira, 2022, NeurIPS.

OmniPrint: A Configurable Printed Character Synthesizer pdf

Isabelle Guyon, Wei-Wei Tu, Haozhe Sun, 2022, NeurIPS Datasets and Benchmarks.

Result Analysis of the NIPS 2003 Feature Selection Challenge

Steve R. Gunn, Isabelle Guyon, Gideon Dror, 2004, NIPS.

Towards AutoML in the presence of Drift: first results pdf

Michèle Sebag, Hugo Jair Escalante, Isabelle Guyon, 2018, IJCAI 2018.

Design of an explainable machine learning challenge for video interviews

Stéphane Ayache, Sergio Escalera, Xavier Baró, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis pdf

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2018, ArXiv.

ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2016, ECCV Workshops.

L2RPN: Learning to Run a Power Network in a Sustainable World NeurIPS2020 challenge design

Gabriel Dulac-Arnold, Antoine Marot, Benjamin Donnot, 2020 .

SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning

David Lopez-Paz, Olivier Goudet, Isabelle Guyon, 2018 .

Principal motion components for one-shot gesture recognition

Isabelle Guyon, Jun Wan, Hugo Jair Escalante, 2017, Pattern Analysis and Applications.

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios

Wei-Wei Tu, Zhen Xu, Cristina Palmero, 2022, DYAD@ICCV.

Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2017, Gesture Recognition.

Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database

Xavier Baró, R. Rothe, R. Timofte, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Challenges in Multi-modal Gesture Recognition

Sergio Escalera, Isabelle Guyon, Vassilis Athitsos, 2017, Gesture Recognition.

Explainable and Interpretable Models in Computer Vision and Machine Learning

I. Guyon, M. Sebag, H. Escalante, 2017, The Springer Series on Challenges in Machine Learning.

A Scaling Law for the Validation-Set Training-Set Size Ratio

Isabelle Guyon, I. Guyon, Isabelle M Guyon, 1997 .

Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits

Sergio Escalera, Nihar B. Shah, Isabelle Guyon, 2016, ECCV Workshops.

ChaLearn gesture challenge: Design and first results

Isabelle Guyon, Hugo Jair Escalante, Vassilis Athitsos, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Multi-modal gesture recognition challenge 2013: dataset and results

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2013, ICMI '13.

ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge

Isabelle Guyon, Wei-Wei Tu, Zhen Xu, 2021, ECML/PKDD.

ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Evaluation Methods of Cause-Effect Pairs

Olivier Goudet, Isabelle Guyon, Diviyan Kalainathan, 2019, Cause Effect Pairs in Machine Learning.

Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition

Sergio Escalera, Isabelle Guyon, Jun Wan, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Discriminant Learning Machines

Olivier Goudet, Michèle Sebag, Isabelle Guyon, 2019, Cause Effect Pairs in Machine Learning.

Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark

M. Madadi, Sergio Escalera, Isabelle M Guyon, 2020, NeurIPS.

Advances in MetaDL: AAAI 2021 challenge and workshop

J. Vanschoren, J. V. Rijn, Zhengying Liu, 2022, MetaDL@AAAI.

Medical Time-Series Data Generation Using Generative Adversarial Networks

Isabelle Guyon, Kristin P. Bennett, Andrew Yale, 2020, AIME.

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos pdf

Stéphane Ayache, Sergio Escalera, Xavier Baró, 2018, ArXiv.

ChaLearn Looking at People: Events and Resources pdf

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, ArXiv.

ChaLearn looking at people: A review of events and resources

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

COMPARISON OF LEARNING ALGORITHMS FOR

L. Bottou, I. Guyon, Yann LeCun, 1995 .

Improving Variational Autoencoders with Inverse Autoregressive Flow

R. Garnett, M. Sugiyama, Kingma, 2016 .

The ChaLearn gesture dataset (CGD 2011)

H. Escalante, V. Athitsos, Pat Jangyodsuk, 2014, Machine Vision and Applications.

A Gentle Introduction to Support Vector Machines in Biomedicine: Case Studies

Constantin F. Aliferis, Douglas P Hardin, Isabelle Guyon, 2011 .

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020

Wei-Wei Tu, Quanming Yao, Rex Ying, 2022, Frontiers in Artificial Intelligence.

Taking Human out of Learning Applications: A Survey on Automated Machine Learning

H. Escalante, Wei-Wei Tu, Yu-Feng Li, 2018, ArXiv.

Automatic Machine Learning (AutoML)

Balázs Kégl, Isabelle Guyon, Frank Hutter, 2015, ICML 2015.

A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2012 .

The Tracking Machine Learning Challenge

Cécile Germain, D. Rousseau, D. Costanzo, 2016, NIPS 2016.

Track reconstruction at LHC as a collaborative data challenge use case with RAMP

I. Guyon, B. Kégl, Cécile Germain, 2017 .

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

J. Peters, Oliver Kroemer, Niklas Pfister, 2022, NeurIPS.

Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform

Wei-Wei Tu, Adrien Pavao, Quanming Yao, 2021, Patterns.

Learning to run a power network challenge for training topology controllers pdf

Isabelle Guyon, Marvin Lerousseau, Antoine Marot, 2019, Electric Power Systems Research.

Didn't see that coming: a survey on non-verbal social human behavior forecasting

Zhen Xu, Cristina Palmero, Sergio Escalera, 2022, DYAD@ICCV.

Learning Bivariate Functional Causal Models

Olivier Goudet, Michèle Sebag, Isabelle Guyon, 2019, Cause Effect Pairs in Machine Learning.

ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2013, ICMI '13.

AutoDL Challenge Design and Beta Tests-Towards automatic deep learning

Sergio Escalera, Quanming Yao, Wei-Wei Tu, 2018 .

Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database

Isabelle Guyon, Marc Boullé, Vincent Lemaire, 2009, SKDD.

An application of neural net chips: handwritten digit recognition

D. Henderson, W. Hubbard, I. Guyon, 1988, IEEE 1988 International Conference on Neural Networks.

High-order neural networks: information storage without errors

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

OVERVIEW AND SYNTHESIS OF ON-LINE CURSIVE HANDWRITING RECOGNITION TECHNIQUES

Isabelle Guyon, Isabelle Guyon, John S. Denker, 1997 .

Recognition-Based Segmentation of On-Line Hand-Printed Words

Isabelle Guyon, Markus Schenkel, Donnie Henderson, 1992, NIPS.

Learning by Doing Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

J. Peters, Douwe Kiela, Oliver Kroemer, 2022 .

Adversarial learning to eliminate systematic errors: a case study in High Energy Physics

Isabelle Guyon, Victor Estrade, Cecile Germain, 2017, NIPS 2017.

Learning to run a Power Network Challenge: a Retrospective Analysis

Gabriel Dulac-Arnold, Antoine Marot, Benjamin Donnot, 2021, NeurIPS.

Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

L. Zadeh, S. Gunn, M. Nikravesh, 2006 .

How machine learning won the Higgs boson challenge

Balázs Kégl, David Rousseau, Cécile Germain, 2016, ESANN.

of the 2015 ChaLeam AutoML Challenge

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2015 .

Joint Conference on Neural Networks , Orlando , Florida , USA , August 12-17 , 2007 Agnostic Learning vs . Prior Knowledge Challenge

G. Dror, G. Cawley, Amir Saffari, 2007 .

Learning to discover: the Higgs boson machine learning challenge

I. Guyon, B. Kégl, C. Adam-Bourdarios, 2014 .

Advances in pattern recognition systems using neural network technologies

I. Guyon, Patrick S.-P. Wang, P. Wang, 1994 .

CodaLab Competitions An Open Source Platform to Organize Scientiﬁc Challenges

H. Escalante, Xavier Baró, Adrien Pavao, 2023 .

Causal Feature Selection

Constantin F. Aliferis, Isabelle Guyon, Andre´ Elisseeﬀ, 2007 .

Beware of the DAG!

A. Philip Dawid, A. Dawid, D. Janzing, 2008, NIPS Causality: Objectives and Assessment.

A training algorithm for optimal margin classifiers

B. Boser, V. Vapnik, Isabelle M Guyon, 1992, COLT '92.

Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design

I. Guyon, Antoine Marot, Benjamin Donnot, 2022, ArXiv.

Anticipating contingengies in power grids using fast neural net screening

Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data

Isabelle Guyon, Prasanna Balaprakash, Venkatram Vishwanath, 2020, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.

LEAP nets for system identification and application to power systems

Patrick Panciatici, Isabelle Guyon, Marc Schoenauer, 2020, Neurocomputing.

Graph inference datasets. Replication Data for: "Learning Functional Causal Models with Generative Neural Networks"

Olivier Goudet, M. Sebag, David Lopez-Paz, 2017 .

UNIPEN project of on-line data exchange and recognizer benchmarks

Isabelle Guyon, Lambert Schomaker, Réjean Plamondon, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest

Sergio Escalera, Hugo Jair Escalante, Henning Müller, 2018, CVAUI/IWCF/MIPPSNA@ICPR.

Judging competitions and benchmarks: a candidate election approach

Isabelle Guyon, Adrien Pavao, Michael Vaccaro, 2021, ESANN.

Visualizing Apparent Personality Analysis with Deep Residual Networks

H. Escalante, Xavier Baró, Yağmur Güçlütürk, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Time Series Analysis with the Causality Workbench

Isabelle Guyon, Constantin F. Aliferis, Alexander R. Statnikov, 2009, NIPS Mini-Symposium on Causality in Time Series.

Design and Analysis of the Causation and Prediction Challenge

Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, 2008, WCCI Causation and Prediction Challenge.

Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?

Yixuan Sun, Romain Egele, Isabelle M Guyon, 2023, ESANN.

Unsupervised and transfer learning challenge

David W. Aha, Isabelle Guyon, Vincent Lemaire, 2011, The 2011 International Joint Conference on Neural Networks.

Design and analysis of the WCCI 2010 active learning challenge

Isabelle Guyon, Gavin C. Cawley, Vincent Lemaire, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge

G. Dror, G. Cawley, Amir Saffari, 2008, Neural Networks.

AutoML Challenge 2015: Design and First Results

Isabelle Guyon, Isabelle M Guyon, 2015 .

Teaching machine learning from examples

I. Guyon, Patrick A. Pletscher, T. Mader, 2006 .

Designing a neural network satisfying a given set of constraints

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Collective computational properties of neural networks: New learning mechanisms.

L. Personnaz, G. Dreyfus, Personnaz, 1986, Physical review. A, General physics.

Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform

Wei-Wei Tu, Adrien Pavao, Quanming Yao, 2021, Patterns.

Application and Comparison of SVMs and Other Methods for Multicategory Microarray-Based Cancer Classification

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Application and Comparison of SVMs and Other Methods for Identifying Unproven Cancer Treatments on the Web (Contributed by Yindalon Aphinyanaphongs)

Constantin F. Aliferis, Alexander Statnikov, Douglas P Hardin, 2013 .

Lessons learned from the AutoML challenge

Michèle Sebag, Lisheng Sun-Hosoya, Isabelle Guyon, 2018 .

RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network

Hedi Tabia, Isabelle M Guyon, F. Mohr, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Analysis of imputation bias for feature selection with missing data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Julie Josse, 2018, ESANN.