YC

Yann Chevaleyre

67
Documents
Affiliations actuelles
  • Machine Intelligence and Learning Systems (MILES)
  • Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision (LAMSADE)

Domaines de recherche

Apprentissage [cs.LG]

Publications

Publications

Improving Discriminator Guidance in Diffusion Models

Alexandre Verine , Ahmed Mehdi Inane , Florian Le Bronnec , Benjamin Negrevergne , Yann Chevaleyre

Machine Learning and Knowledge Discovery in Databases. Research Track., ECML PKDD 2025, 2025, Porto, Portugal. pp.222-238, ⟨10.1007/978-3-032-05981-9_14⟩

Communication dans un congrès hal-05421380v1
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Memorization in Attention-only Transformers

Léo Dana , Muni Sreenivas Pydi , Yann Chevaleyre

International Conference on Artificial Intelligence and Statistics, May 2025, Mai Khao, Thailand. pp.3133--3141

Communication dans un congrès hal-05427727v1
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Improving Discriminator Guidance in Diffusion Models

Alexandre Vérine , Inane Ahmed Mehdi , Florian Le Bronnec , Benjamin Negrevergne , Yann Chevaleyre

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal

Communication dans un congrès hal-05416219v1
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Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory

Lucas Gnecco Heredia , Matteo Sammut , Muni Pydi , Rafaël Pinot , Benjamin Negrevergne et al.

AIStats, May 2025, Phuket, Thailand

Communication dans un congrès hal-05071096v2
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Exploring Precision and Recall to assess the quality and diversity of LLMs

Florian Le Bronnec , Alexandre Vérine , Benjamin Negrevergne , Yann Chevaleyre , Alexandre Allauzen

62nd Annual Meeting of the Association for Computational Linguistics, Aug 2024, Bangkok, Thailand

Communication dans un congrès hal-04584210v1
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Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality

Ikko Yamane , Yann Chevaleyre , Takashi Ishida , Florian Yger

Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2023, Valencia, Spain

Communication dans un congrès hal-04218995v1
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Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows

Alexandre Vérine , Benjamin Negrevergne , Muni Sreenivas Pydi , Yann Chevaleyre

Advances in Neural Information Processing Systems, Dec 2023, Nouvelle Orléans (LA), United States

Communication dans un congrès hal-04480496v1
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On the Role of Randomization in Adversarially Robust Classification

Lucas Gnecco Heredia , Yann Chevaleyre , Benjamin Negrevergne , Laurent Meunier , Muni Sreenivas Pydi

Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, Dec 2023, New Orleans (LA), United States

Communication dans un congrès hal-04312028v1
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Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante

Alexis Duburcq , Fabian Schramm , Guilhem Boéris , Nicolas Bredeche , Yann Chevaleyre

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2022, Kyoto, Japan. pp.9302-9309, ⟨10.1109/IROS47612.2022.9982234⟩

Communication dans un congrès hal-04155863v1
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On the expressivity of bi-Lipschitz normalizing flows

Alexandre Vérine , Benjamin Negrevergne , Fabrice Rossi , Yann Chevaleyre

ACML 2022 - 14th Asian Conference on Machine Learning,, Dec 2022, Hyderabad, India

Communication dans un congrès hal-03906979v1
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Towards Consistency in Adversarial Classification

Laurent Meunier , Raphael Ettedgui , Rafaël Pinot , Yann Chevaleyre , Jamal Atif

36th Conference on Neural Information Processing Systems (NeurIPS 2022), Nov 2022, Virtual conference, United States

Communication dans un congrès hal-04014745v1
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An alpha-No-Regret Algorithm For Graphical Bilinear Bandits

Geovani Rizk , Igor Colin , Albert Thomas , Rida Laraki , Yann Chevaleyre

36th Conference on Neural Information Processing Systems (NeurIPS 2022)., Nov 2022, New Orleans, United States

Communication dans un congrès hal-04303702v1
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Best Arm Identification in Graphical Bilinear Bandits

Geovani Rizk , Thomas Albert , Igor Colin , Rida Laraki , Yann Chevaleyre

ICML 2021 - Proceedings of the 38th International Conference on Machine Learning, Jul 2021, Pittsburgh, United States. pp.9010-9019

Communication dans un congrès hal-03413102v1

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory

Alexandre Araujo , Benjamin Negrevergne , Yann Chevaleyre , Jamal Atif

35th AAAI Conference on Artificial Intelligence, Feb 2021, vancouver, Canada

Communication dans un congrès hal-03107420v1

Asymptotic convergence rates for averaging strategies

Laurent Meunier , Iskander Legheraba , Yann Chevaleyre , Olivier Teytaud

FOGA '21: Foundations of Genetic Algorithms XVI, Jul 2021, Virtual Event Austria, France. pp.1-11, ⟨10.1145/3450218.3477302⟩

Communication dans un congrès hal-03916845v1
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Mixed Nash Equilibria in the Adversarial Examples Game

Laurent Meunier , Meyer Scetbon , Rafaël Pinot , Jamal Atif , Yann Chevaleyre

International Conference on Machine Learning (ICML), Aug 2021, paris, France

Communication dans un congrès hal-03916826v1
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Randomization matters – How to defend against strong adversarial attacks

Rafael Pinot , Raphael Ettedgui , Geovani Rizk , Yann Chevaleyre , Jamal Atif

Thirty-seventh International Conference on Machine Learning, Jul 2020, Vienna, Austria. pp.7717-7727

Communication dans un congrès hal-02892161v1
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Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante

Alexis Duburcq , Yann Chevaleyre , Nicolas Bredeche , Guilhem Boéris

ICRA 2020- International Conference on Robotics and Automation, 2020, Paris (virtual), France. ⟨10.1109/ICRA40945.2020.9196633⟩

Communication dans un congrès hal-03175242v1
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Learning Interpretable Models using Soft Integrity Constraints

Khaled Belahcene , Nataliya Sokolovska , Yann Chevaleyre , Jean-Daniel Zucker

12th Asian Conference on Machine Learning (ACML 2020), Nov 2020, Bangkok, Thailand. pp.529-544

Communication dans un congrès hal-02944833v1
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Understanding and Training Deep Diagonal Circulant Neural Networks

Alexandre Araujo , Benjamin Negrevergne , Yann Chevaleyre , Jamal Atif

24th European Conference on Artificial Intelligence (ECAI), Jul 2020, Santiago, Spain

Communication dans un congrès hal-03916848v1

Interpretable Cascade Classifiers with Abstention

Matthieu Clertant , Nataliya Sokolovska , Yann Chevaleyre , Blaise Hanczar

22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Apr 2019, Naha, Japan

Communication dans un congrès hal-02006252v1
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Training Compact Deep Learning Models for Video Classification Using Circulant Matrices

Alexandre Araújo , Benjamin Negrevergne , Yann Chevaleyre , Jamal Atif

15th European Conference on Computer Vision (ECCV 2018), Sep 2018, Munich, Germany. pp.271-286, ⟨10.1007/978-3-030-11018-5⟩

Communication dans un congrès hal-02170706v1
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Local Envy-Freeness in House Allocation Problems

Aurélie Beynier , Yann Chevaleyre , Laurent Gourvès , Julien Lesca , Nicolas Maudet et al.

17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Jul 2018, Stockholm, Sweden

Communication dans un congrès hal-01785231v1

A Provable Algorithm for Learning Interpretable Scoring Systems

Nataliya Sokolovska , Yann Chevaleyre , Jean-Daniel Zucker

Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2018, lanzarote, Spain

Communication dans un congrès hal-03916854v1
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Disease Classification in Metagenomics with 2D Embeddings and Deep Learning

Thanh Hai Nguyen , Edi Prifti , Yann Chevaleyre , Nataliya Sokolovska , Jean-Daniel Zucker

La Conférence sur l'Apprentissage automatique (CAp), Jun 2018, Rouen, France

Communication dans un congrès hal-01819205v1
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Accountable Approval Sorting

Khaled Belahcene , Yann Chevaleyre , Nicolas Maudet , Christophe Labreuche , Vincent Mousseau et al.

27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Jul 2018, Stockholm, Sweden

Communication dans un congrès hal-01785011v1

Voting by Sequential Elimination with few Voters

Sylvain Bouveret , Yann Chevaleyre , François Durand , Jérôme Lang

26th International Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia. ⟨10.24963/ijcai.2017/19⟩

Communication dans un congrès hal-01609246v1
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Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks

Nguyen Thanh Hai , Yann Chevaleyre , Edi Prifti , Nataliya Sokolovska , Jean-Daniel Zucker

NIPS 2017 Workshop on Machine Learning for Health, Dec 2017, Long Beach, CA, United States

Communication dans un congrès hal-01783588v1

Advantage Based Value Iteration for Markov Decision Processes with Unknown Rewards

Pegah Alizadeh , Yann Chevaleyre , François Lévy

International Joint Conference on Neural Networks (IJCNN 2016), Jul 2016, Vancouver, Canada

Communication dans un congrès hal-01358345v1
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The Power of Swap Deals in Distributed Resource Allocation

Anastasia Damamme , Aurélie Beynier , Yann Chevaleyre , Nicolas Maudet

The 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May 2015, Istanbul, Turkey. pp.625-633

Communication dans un congrès hal-01212603v1

Apprentissage Online de Modèles d'Ising Parcimonieux

Yann Chevaleyre , Frédéric Koriche

16ème Conférence sur l'Apprentissage Automatique (CAP'14), 2014, Saint-Etienne, Région indéterminée

Communication dans un congrès hal-03300758v1
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Learning linear classifiers with ternary weights from Metagenomic Data

Yann Chevaleyre , Frédéric Koriche , Jean-Daniel Zucker

Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p

Communication dans un congrès hal-00745449v1

Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in case of a Tsunami

Thi Ngoc Anh Nguyen , Yann Chevaleyre , Jean-Daniel Zucker

Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on, Jun 2012, Toulouse, France. pp.394 - 396

Communication dans un congrès hal-00929863v1
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The Robot Swarm Re-localization Problem

Nicolas Bredeche , Yann Chevaleyre

5th IEEE International Conference on Robotics and Biomimetics (ROBIO 2008), 2008, Bangkok, Thailand

Communication dans un congrès inria-00336690v1

Recent advances on multi-agent patrolling

Alessandro de Luna Almeida , Geber Ramalho , Hugo Santana , Patricia Tedesco , Talita Menezes et al.

17th Brazilian Symposium on Artificial Intelligence, Sep 2004, São Luís, Brazil. pp.474-483, ⟨10.1007/978-3-540-28645-5_48⟩

Communication dans un congrès istex hal-01499300v1

A Wrapper-based Approach to Robot Learning Concepts from Images.

Nicolas Bredèche , Jean-Daniel Zucker , Yann Chevaleyre

PRICAI 2002 - 7th Pacific Rim International Conference on Artificial Intelligence, Aug 2002, Tokyo, Japan. pp.616-616, ⟨10.1007/3-540-45683-X_85⟩

Communication dans un congrès istex hal-01561436v1

Wrapper for Object Detection in an Autonomous Mobile Robot

Nicolas Bredèche , Yann Chevaleyre , Louis Hugues

ICPR 2002 - 16th International Conference on Pattern Recognition, Aug 2002, Quebec City, Canada. pp.749-752, ⟨10.1109/ICPR.2002.1048411⟩

Communication dans un congrès hal-01561431v1

Physically grounding the lexical semantics of words in a robot visual perception

Nicolas Bredèche , Yann Chevaleyre

AROB 2002 - 7th International Symposium on Artificial Life and Robotics for Information Technology, Jan 2002, Oita, Japan

Communication dans un congrès hal-01561434v1

A framework for learning Multiple-Instance Decision Trees and Rule Sets

Yann Chevaleyre , Jean-Daniel Zucker

European Conference on Machine Learning, Sep 2001, Freiburg, Germany. pp.49-60, ⟨10.1007/3-540-44795-4_5⟩

Communication dans un congrès istex hal-01571854v1

Algorithmes pour l'Apprentissage de Règles a partir de Données Multi-Instances

Yann Chevaleyre , Jean-Daniel Zucker

Conférence Apprentissage, 2001, Grenoble, France

Communication dans un congrès hal-01571855v1

Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem

Yann Chevaleyre , Jean-Daniel Zucker

Canadian Conference on AI 2001, Jun 2001, Ottawa, Canada. pp.204-214, ⟨10.1007/3-540-45153-6_20⟩

Communication dans un congrès istex hal-01571852v1

Noise-Tolerant Rule Induction from Multi-Instance Data

Yann Chevaleyre , Jean-Daniel Zucker

ICML 2000 Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, Jun 2000, Stanford, United States. pp.47-52

Communication dans un congrès hal-01573408v1

Improving Diversity in Language Models: When Temperature Fails, Change the Loss

Alexandre Verine , Florian Le Bronnec , Kunhao Zheng , Alexandre Allauzen , Yann Chevaleyre et al.

2025

Pré-publication, Document de travail hal-05413727v1

Mixed Nash Equilibria in the Adversarial Examples Game

Laurent Meunier , Meyer Scetbon , Rafael Pinot , Jamal Atif , Yann Chevaleyre

2021

Pré-publication, Document de travail hal-03345014v1

Asymptotic convergence rates for averaging strategies

Laurent Meunier , Iskander Legheraba , Yann Chevaleyre , Olivier Teytaud

2021

Pré-publication, Document de travail hal-03345019v1
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Learning Interpretable Models using Soft Integrity Constraints

Khaled Belahcene , Nataliya Sokolovska , Yann Chevaleyre , Jean-Daniel Zucker

2019

Pré-publication, Document de travail hal-02360875v1

On the Expressive Power of Deep Fully Circulant Neural Networks

Alexandre Araujo , Benjamin Negrevergne , Yann Chevaleyre , Jamal Atif

2019

Pré-publication, Document de travail hal-02078318v1
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Règles Naturelles Optimales pour l'Argumentation

Yann Chevaleyre , Nicolas Maudet

2007

Pré-publication, Document de travail hal-00192314v1
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Restricted Classes of Utility Functions for Simple Negotiation Schemes: Sufficiency, Necessity, and Maximality

Yann Chevaleyre , Ulle Endriss , Nicolas Maudet

2006

Pré-publication, Document de travail hal-00116629v1
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Le problème multi-agents de la patrouille

Yann Chevaleyre

2006

Pré-publication, Document de travail hal-00115783v1
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Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modelling

Yann Chevaleyre , Ulle Endriss , Jérôme Lang

2006

Pré-publication, Document de travail hal-00119309v1
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On the robustness of randomized classifiers to adversarial examples

Rafael Pinot , Laurent Meunier , Florian Yger , Cédric Gouy-Pailler , Yann Chevaleyre et al.

Machine Learning, 2022, 111 (9), pp.3425-3457. ⟨10.1007/s10994-022-06216-6⟩

Article dans une revue hal-03916842v1
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Interpretable and accurate prediction models for metagenomics data

Edi Prifti , Yann Chevaleyre , Blaise Hanczar , Eugeni Belda , Antoine Danchin et al.

GigaScience, 2020, 9 (3), ⟨10.1093/gigascience/giaa010⟩

Article dans une revue hal-02520519v1
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Local Envy-Freeness in House Allocation Problems

Aurélie Beynier , Yann Chevaleyre , Laurent Gourvès , Ararat Harutyunyan , Julien Lesca et al.

Autonomous Agents and Multi-Agent Systems, 2019, 33 (5), pp.591-627. ⟨10.1007/s10458-019-09417-x⟩

Article dans une revue hal-02156844v1
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Training compact deep learning models for video classification using circulant matrices

Alexandre Araujo , Benjamin Negrevergne , Yann Chevaleyre , Jamal Atif

European Conference on Computer Vision, 2018, pp.271-286. ⟨10.1007/978-3-030-11018-5_25⟩

Article dans une revue hal-02010093v1
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Distributed Fair Allocation of Indivisible Goods

Yann Chevaleyre , Ulle Endriss , Nicolas Maudet

Artificial Intelligence (AIJ), 2017, 242, pp.1--22. ⟨10.1016/j.artint.2016.09.005⟩

Article dans une revue hal-01359645v1
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The niche reduction approach: an opportunity for optimal control of infectious diseases in low-income countries?

Benjamin Roche , Hélène Broutin , Marc Choisy , Sylvain Godreuil , Guillaume Constantin de Magny et al.

BMC Public Health, 2014, 14 (1), pp.753. ⟨10.1186/1471-2458-14-753⟩

Article dans une revue pasteur-01053863v1

New candidates welcome! Possible winners with respect to the addition of new candidates

Yann Chevaleyre , Jérôme Lang , Nicolas Maudet , Jérôme Monnot , Lirong Xia

Mathematical Social Sciences, 2012, 64 (1), pp.74-88. ⟨10.1016/j.mathsocsci.2011.12.003⟩

Article dans une revue hal-01199286v1

A meta-learning approach to anchor visual percepts

Nicolas Bredèche , Yann Chevaleyre , Jean-Daniel Zucker , Alexis Drogoul , Gérard Sabah

Robotics and Autonomous Systems, 2003, 43 (2-3), pp.149-162. ⟨10.1016/S0921-8890(02)00356-1⟩

Article dans une revue istex hal-01176922v1

On Averaging the Best Samples in Evolutionary Computation

Laurent Meunier , Yann Chevaleyre , Jeremy Rapin , Clément Royer , Olivier Teytaud

Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020, pp.661-674, 2020, ⟨10.1007/978-3-030-58115-2_46⟩

Chapitre d'ouvrage hal-03135540v1

Fair Division of Indivisible Goods

Sylvain Bouveret , Yann Chevaleyre , Nicolas Maudet

Felix Brandt; Vincent Conitzer; Ulle Endriss; Jérôme Lang; Ariel D. Procaccia. Handbook of Computational Social Choice, Cambridge University Press, 2016, 9781316490631

Chapitre d'ouvrage hal-01527121v1

Systèmes multi-agents: négociation, persuasion

Leila Amgoud , Yann Chevaleyre , Nicolas Maudet

Pierre Marquis; Odile Papini; Henri Prade. Panorama de l'Intelligence Artificielle (3 vol.), 1 (Chapter 17), Cépaduès, Toulouse, pp.273--296, 2014, Représentation des connaissances et formalisation des raisonnements, 978-2364930414

Chapitre d'ouvrage hal-01528819v1

Speeding up the evaluation of casualties in multi-agent simulations with linear programming application to optimization of sign placement for tsunami evacuation

V.M. Le , Y. Chevaleyre , Jean-Daniel Zucker , H.T. Vinh

The 2013 RIVF International Conference on Computing and Communication Technologies - Research, Innovation, and Vision for Future (RIVF) : proceedings, IEEE, p. 215-220, 2013, 978-1-4799-1349-7. ⟨10.1109/RIVF.2013.6719896⟩

Chapitre d'ouvrage hal-02955309v1
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Learning Ordinal Preferences on Multiattribute Domains: the Case of CP-nets

Yann Chevaleyre , Frédéric Koriche , Jérôme Lang , Jérôme Mengin , Bruno Zanuttini

Johannes Fürnkranz; Eyke Hüllermeier. Preference Learning, Springer, pp.273-296, 2010, ⟨10.1007/978-3-642-14125-6_13⟩

Chapitre d'ouvrage hal-00944354v1