Benjamin Négrevergne

According to our database, Benjamin Négrevergne authored at least 37 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

What Makes Large Language Models Reason in (Multi-Turn) Code Generation?

Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Négrevergne, Gabriel Synnaeve

CoRR, 2024

Optimal Budgeted Rejection Sampling for Generative Models.

Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Exploring Precision and Recall to assess the quality and diversity of LLMs.

Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Adversarial attacks for mixtures of classifiers.

Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre

CoRR, 2023

Randomization for adversarial robustness: the Good, the Bad and the Ugly.

Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier

CoRR, 2023

Training Normalizing Flows with the Precision-Recall Divergence.

Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre

CoRR, 2023

Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows.

Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Role of Randomization in Adversarially Robust Classification.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On the expressivity of bi-Lipschitz normalizing flows.

Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Deep Reinforcement Learning for Morpion Solitaire.

Boris Doux, Benjamin Négrevergne, Tristan Cazenave

Proceedings of the Advances in Computer Games - 17th International Conference, 2021

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory.

Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization.

Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

CoRR, 2020

Advocating for Multiple Defense Strategies Against Adversarial Examples.

Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne

Proceedings of the ECML PKDD 2020 Workshops, 2020

Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent.

Nicolas Boria, Benjamin Négrevergne, Florian Yger

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Understanding and Training Deep Diagonal Circulant Neural Networks.

Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Robust Neural Networks using Randomized Adversarial Training.

Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif

CoRR, 2019

On the Expressive Power of Deep Fully Circulant Neural Networks.

Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

CoRR, 2019

2018

Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la Temporalité.

Jerry Lonlac, Benjamin Négrevergne, Yannick Miras, Aude Beauger, Engelbert Mephu Nguifo

Proceedings of the Extraction et Gestion des Connaissances, 2018

Training Compact Deep Learning Models for Video Classification Using Circulant Matrices.

Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Mining Rare Sequential Patterns with ASP.

Ahmed Samet, Thomas Guyet, Benjamin Négrevergne

Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017

Distributed Nested Rollout Policy for SameGame.

Benjamin Négrevergne, Tristan Cazenave

Proceedings of the Computer Games - 6th Workshop, 2017

Expert Opinion Extraction from a Biomedical Database.

Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Recognizing Art Style Automatically in Painting with Deep Learning.

Adrian Lecoutre, Benjamin Négrevergne, Florian Yger

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Modeling in MiningZinc.

Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt

Proceedings of the Data Mining and Constraint Programming, 2016

A SAT model to mine flexible sequences in transactional datasets.

Rémi Coletta, Benjamin Négrevergne

CoRR, 2016

Detecting Strategic Moves in HearthStone Matches.

Boris Doux, Clément Gautrais, Benjamin Négrevergne

Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

On Declarative Modeling of Structured Pattern Mining.

Tias Guns, Sergey Paramonov, Benjamin Négrevergne

Proceedings of the Declarative Learning Based Programming, 2016

2015

PGLCM: efficient parallel mining of closed frequent gradual itemsets.

Trong Dinh Thac Do, Alexandre Termier, Anne Laurent, Benjamin Négrevergne, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia

Knowl. Inf. Syst., 2015

Constraint-Based Sequence Mining Using Constraint Programming.

Benjamin Négrevergne, Tias Guns

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2015

2014

Para Miner: a generic pattern mining algorithm for multi-core architectures.

Benjamin Négrevergne, Alexandre Termier, Marie-Christine Rousset, Jean-François Méhaut

Data Min. Knowl. Discov., 2014

2013

Dominance Programming for Itemset Mining.

Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2011

Un algorithme de fouille de données générique et parallèle pour architecture multi-coeurs. (A generic and parallel pattern mining algorithm for multi-core architectures).

Benjamin Négrevergne

PhD thesis, 2011

2010

Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses.

Benjamin Négrevergne, Alexandre Termier, Jean-François Méhaut, Takeaki Uno

Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

Découverte d'itemsets fréquents fermés sur architecture multicoeurs.

Benjamin Négrevergne, Jean-François Méhaut, Alexandre Termier, Takeaki Uno

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Efficient Parallel Mining of Gradual Patterns on Multicore Processors.

Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier

Proceedings of the Advances in Knowledge Discovery and Management, 2010

PGP-mc : extraction parallèle efficace de motifs graduels.

Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns.

Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier

Proceedings of the Database Systems for Advanced Applications, 2010