I. Guyon

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Signature Verification Using A "Siamese" Time Delay Neural Network

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

A time delay neural network character recognizer for a touch terminal

Isabelle Guyon, Yann LeCun, Yann LeCun, 1990 .

Information storage and retrieval in spin-glass like neural networks

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

A training algorithm for optimal margin classifiers

Bernhard E. Boser, Vladimir N. Vapnik, Isabelle M. Guyon, 1992, COLT '92.

Comparison of classifier methods: a case study in handwritten digit recognition

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).

Structural Risk Minimization for Character Recognition

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

Neural Network Recognizer for Hand-Written Zip Code Digits

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

Comparing different neural network architectures for classifying handwritten digits

Y. Le Cun, I. Guyon, I. Poujaud, 1989, International 1989 Joint Conference on Neural Networks.

Learning algorithms for classification: A comparison on handwritten digit recognition

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

Comparison of learning algorithms for handwritten digit recognition

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

Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning

Isabelle Guyon, Yann LeCun, Isabelle Guyon, 1989, NATO Neurocomputing.

Design of a neural network character recognizer for a touch terminal

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

Optical Character Recognition and Neural-Net Chips

Lawrence D. Jackel, Isabelle Guyon, Bernhard E. Boser, 1990 .

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

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

A Case Study in Handwritten Digit Recognition

Harris Drucker, Patrice Y. Simard, Isabelle Guyon, 1994 .

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.

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

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

An application of neural net chips: handwritten digit recognition

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

OVERVIEW AND SYNTHESIS OF ON-LINE CURSIVE HANDWRITING RECOGNITION TECHNIQUES

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

Capacity control in linear classifiers for pattern recognition

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

Towards AutoML in the presence of Drift: first results pdf

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

Automatic Capacity Tuning of Very Large VC-Dimension Classifiers

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

What Size Test Set Gives Good Error Rate Estimates?

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

Result Analysis of the NIPS 2003 Feature Selection Challenge

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

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

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

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

Masoud Nikravesh, Steve R. Gunn, Isabelle Guyon, 2006 .

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

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

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

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

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

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

Detecting stable clusters using principal component analysis.

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

Gene Selection for Cancer Classification using Support Vector Machines

Jason Weston, Isabelle Guyon, Vladimir Vapnik, 2002, Machine Learning.

ChaLearn Looking at People Challenge 2014: Dataset and Results

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

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

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

Generation and evaluation of privacy preserving synthetic health data

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

An Introduction to Variable and Feature Selection

Isabelle Guyon, André Elisseeff, I. Guyon, 2003, J. Mach. Learn. Res..

Feature Extraction - Foundations and Applications

Masoud Nikravesh, Steve R. Gunn, Isabelle Guyon, 2006, Feature Extraction.

How machine learning won the Higgs boson challenge

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

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).

Performance Prediction Challenge

I. Guyon, J. Buhmann, G. Dror, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Design of experiments for the NIPS 2003 variable selection benchmark

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

Multivariate Non-Linear Feature Selection with Kernel Methods

Isabelle Guyon, Hans-Marcus Bitter, Zulfikar Ahmed, 2005 .

Design and Analysis of the NIPS2003 Challenge

Steve R. Gunn, Isabelle Guyon, Gideon Dror, 2006, Feature Extraction.

WCCI 2018 TrackML Particle Tracking Challenge

Heather Gray, Paolo Calafiura, David Rousseau, 2018 .

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

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

Causal Generative Neural Networks

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

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.

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).

Unsupervised and transfer learning challenge

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

Principal motion: PCA-based reconstruction of motion histograms

I. Guyon, H. Escalante, 2012 .

Design of the 2015 ChaLearn AutoML challenge

Sergio Escalera, Isabelle Guyon, Gavin C. Cawley, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

The ChaLearn gesture dataset (CGD 2011)

Isabelle Guyon, Hugo Jair Escalante, Vassilis Athitsos, 2014, Machine Vision and Applications.

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

David Lopez-Paz, Olivier Goudet, Isabelle Guyon, 2018, 1803.04929.

Medical Time-Series Data Generation Using Generative Adversarial Networks

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

Weighted Classication Cascades for Optimizing Discovery Signicance in the HiggsML Challenge

I. Guyon, Lester W. Mackey, G. Cowan, 2015 .

Learning to discover: the Higgs boson machine learning challenge

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

Model Selection: Beyond the Bayesian/Frequentist Divide

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

Causal Feature Selection

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

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

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

A biologically constrained learning mechanism in networks of formal neurons

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1986 .

Neural Networks for Associative Memory Design

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Learning Functional Causal Models with Generative Neural Networks

Michèle Sebag, David Lopez-Paz, Olivier Goudet, 2018 .

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

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

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).

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

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

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).

The WANDAML markup language for digital document annotation

Louis Vuurpijl, Isabelle Guyon, Lambert Schomaker, 2004, IWFHR.

WANDA: A common ground for forensic handwriting examination and writer identification

I. Guyon, L. Vuurpijl, K. Franke, 2004 .

Design and Analysis of the Causation and Prediction Challenge

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

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

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

Discovering Informative Patterns and Data Cleaning

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

The Higgs Machine Learning Challenge

I. Guyon, B. Kégl, C. Adam-Bourdarios, 2015 .

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

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

Challenges in multimodal gesture recognition

Sergio Escalera, Isabelle Guyon, Vassilis Athitsos, 2016, J. Mach. Learn. Res..

COMPARISON OF LEARNING ALGORITHMS FOR

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

Challenges in Multi-modal Gesture Recognition

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

Multimodal First Impression Analysis with Deep Residual Networks

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

Neural Network Design for Efficient Information Retrieval

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1986 .

Neural networks and applications tutorial

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

NeurIPS 2018 challenge : Design and Results ∗

I. Guyon, H. Escalante, Wei-Wei Tu, 2019 .

The TrackML challenge

I. Guyon, Cécile Germain, D. Rousseau, 2018, NIPS 2018.

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

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

Differentially private Bayesian learning on distributed data

Mikko A. Heikkilä, R. Fergus, I. Guyon, 2017, NIPS.

Benchmarking in cluster analysis: A white paper

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

COMPARISONOFLEARNING ALGORITHMS FORHANDWRITTEN DIGIT RECOGNITION

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

Novelty Detection with SVM-Based Methods

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Application and Comparison of SVMs and Other Methods for Multicategory Classification in Microbiomics (Contributed by Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V. Alekseyenko)

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

Teaching machine learning from examples

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

A Gentle Introduction to Support Vector Machines in Biomedicine: Volume 1: Theory and MethodsVolume 2: Case Studies and Benchmarks

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

Basic Principles of Statistical Machine Learning

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

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

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

JMLR Workshop and Conference Proceedings: Volume 6

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

Proceedings of the 2008th International Conference on Causality: Objectives and Assessment - Volume 6

Isabelle Guyon, Bernhard Schölkopf, Dominik Janzing, 2008 .

NIPS 2014 Workshop on High-energy Physics and Machine Learning

Isabelle Guyon, Balázs Kégl, David Rousseau, 2015, NIPS 2015.

Ancestral Causal Inference

Garnett, I. Guyon, J. Mooij, 2016, NIPS.

Support Vector Machines (SVMs) for Binary Classification: Classical Formulation

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Using SVMs for Causal Variable Selection

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

Computing Posterior Class Probabilities for SVM Classifiers

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Designing a neural network satisfying a given set of constraints

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Model Selection for SVMs

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

SVM-Based Variable Selection

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Comparison of SVMs and Kernel Ridge Regression for Microarray-Based Cancer Classification (Contributed by Zhiguo Li)

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

Application and Comparison of SVM-RFE and GLL Methods for Variable Selection for Classification

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

Data cleaning algorithms with applications to micro-array experiments

Jason Weston, Isabelle Guyon, Olivier Chapelle, 2001 .

Proceedings of the 2014 International Conference on High-Energy Physics and Machine Learning - Volume 42

Isabelle Guyon, Balázs Kégl, David Rousseau, 2014 .

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.

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

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

Asynchronous Distributed Bayesian Optimization at HPC Scale

I. Guyon, V. Vishwanath, P. Balaprakash, 2022, ArXiv.

A simple selectionist learning rule for neural networks

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Engineering applications of spin glass concepts

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

of the 2015 ChaLeam AutoML Challenge

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

CLOP: a Matlab Learning Object Package

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2007 .

Investigating synthetic medical time-series resemblance

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

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.

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

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

Lawrence Berkeley National Laboratory Recent Work Title The Tracking Machine Learning Challenge : Accuracy Phase Permalink

Innocente, I. Guyon, D. Rousseau, 2019 .

Les machines neuronales

I. Guyon, L. Personnaz, G. Dreyfus, 1988 .

SVMs for Multi-Category Classification

Alexander Statnikov, Douglas P Hardin, Isabelle Guyon, 2011 .

Deep Statistical Solvers

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

Application and Comparison of SVMs and Other Methods for Identifying Drug–Drug Interactions-Related Literature (Contributed by Stephany Duda)

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

TrackML: a LHC Tracking Machine Learning Challenge

David Rousseau, Paolo Calafiura, Isabelle Guyon, 2016 .

Application and Comparison of SVMs and Other Methods for Retrieving High-Quality Content-Specific Articles (Contributed by Yindalon Aphinyanaphongs)

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 .

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

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

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

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

Aircraft Numerical “Twin”: A Time Series Regression Competition

Thomas M. Epalle, I. Guyon, Adrien Pavao, 2021, International Conference on Machine Learning and Applications.

Comparison of SVMs and Random Forests for Microarray-Based Cancer Classification

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

Bayesian Compression for Deep Learning

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