Benjamin Négrevergne

55 papers A* 5A 3B 2C 3Journal 23Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Improving Discriminator Guidance in Diffusion Models.
ECML/PKDD (2)
Alexandre Verine, Mehdi Inane, Florian Le Bronnec, Benjamin Négrevergne, Yann Chevaleyre
2025 J jnl
Improving Discriminator Guidance in Diffusion Models.
CoRR
Alexandre Verine, Mehdi Inane, Florian Le Bronnec, Benjamin Négrevergne, Yann Chevaleyre
2025 A* conf
Improving Diversity in Language Models: When Temperature Fails, Change the Loss.
ICML
Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Négrevergne
2025 J jnl
Improving Diversity in Language Models: When Temperature Fails, Change the Loss.
CoRR
Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Négrevergne
2025 — conf
Lattice Climber Attack: Adversarial Attacks for Randomized Mixtures of Classifiers.
ECML/PKDD (7)
Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
2025 J jnl
Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers.
CoRR
Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
2025 J jnl
Monte Carlo Graph Coloring.
CoRR
Tristan Cazenave, Benjamin Négrevergne, Florian Sikora
2025 A conf
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory.
AISTATS
Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Négrevergne, Yann Chevaleyre
2025 J jnl
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory.
CoRR
Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Négrevergne, Yann Chevaleyre
2024 — conf
Exploring Precision and Recall to assess the quality and diversity of LLMs.
ACL (1)
Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen
2024 J jnl
Exploring Precision and Recall to assess the quality and diversity of LLMs.
CoRR
Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen
2024 A conf
Optimal Budgeted Rejection Sampling for Generative Models.
AISTATS
Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
2024 J jnl
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
CoRR
Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Négrevergne, Gabriel Synnaeve
2023 J jnl
Adversarial attacks for mixtures of classifiers.
CoRR
Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
2023 A* conf
On the Role of Randomization in Adversarially Robust Classification.
NeurIPS
Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre
2023 J jnl
Optimal Budgeted Rejection Sampling for Generative Models.
CoRR
Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
2023 A* conf
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows.
NeurIPS
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
2023 J jnl
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows.
CoRR
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
2023 J jnl
Randomization for adversarial robustness: the Good, the Bad and the Ugly.
CoRR
Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier
2023 J jnl
Training Normalizing Flows with the Precision-Recall Divergence.
CoRR
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
2022 C conf
On the expressivity of bi-Lipschitz normalizing flows.
ACML
Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi
2021 — conf
Deep Reinforcement Learning for Morpion Solitaire.
ACG
Boris Doux, Benjamin Négrevergne, Tristan Cazenave
2021 A* conf
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory.
AAAI
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2021 J jnl
On the expressivity of bi-Lipschitz normalizing flows.
CoRR
Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre
2020 — conf
Advocating for Multiple Defense Strategies Against Adversarial Examples.
PKDD/ECML Workshops
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
2020 J jnl
Advocating for Multiple Defense Strategies against Adversarial Examples.
CoRR
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
2020 J jnl
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization.
CoRR
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2020 B conf
Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent.
ESANN
Nicolas Boria, Benjamin Négrevergne, Florian Yger
2020 — conf
Monte Carlo Graph Coloring.
MCS@IJCAI
Tristan Cazenave, Benjamin Négrevergne, Florian Sikora
2020 A conf
Understanding and Training Deep Diagonal Circulant Neural Networks.
ECAI
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2019 J jnl
On the Expressive Power of Deep Fully Circulant Neural Networks.
CoRR
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2019 J jnl
Robust Neural Networks using Randomized Adversarial Training.
CoRR
Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
2018 — conf
Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la Temporalité.
EGC
Jerry Lonlac, Benjamin Négrevergne, Yannick Miras, Aude Beauger, Engelbert Mephu Nguifo
2018 — conf
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices.
ECCV Workshops (4)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2018 J jnl
Training compact deep learning models for video classification using circulant matrices.
CoRR
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
2017 — conf
Distributed Nested Rollout Policy for SameGame.
CGW@IJCAI
Benjamin Négrevergne, Tristan Cazenave
2017 C conf
Expert Opinion Extraction from a Biomedical Database.
ECSQARU
Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho
2017 J jnl
Expert Opinion Extraction from a Biomedical Database.
CoRR
Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho
2017 — conf
Mining Rare Sequential Patterns with ASP.
ILP (Late Breaking Papers)
Ahmed Samet, Thomas Guyet, Benjamin Négrevergne
2017 C conf
Recognizing Art Style Automatically in Painting with Deep Learning.
ACML
Adrian Lecoutre, Benjamin Négrevergne, Florian Yger
2016 J jnl
A SAT model to mine flexible sequences in transactional datasets.
CoRR
Rémi Coletta, Benjamin Négrevergne
2016 — conf
Detecting Strategic Moves in HearthStone Matches.
MLSA@PKDD/ECML
Boris Doux, Clément Gautrais, Benjamin Négrevergne
2016 — ch.
Modeling in MiningZinc.
Data Mining and Constraint Programming
Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt
2016 — conf
On Declarative Modeling of Structured Pattern Mining.
AAAI Workshop: Declarative Learning Based Programming
Tias Guns, Sergey Paramonov, Benjamin Négrevergne
2015 B conf
Constraint-Based Sequence Mining Using Constraint Programming.
CPAIOR
Benjamin Négrevergne, Tias Guns
2015 J jnl
Constraint-based sequence mining using constraint programming.
CoRR
Benjamin Négrevergne, Tias Guns
2015 J jnl
PGLCM: efficient parallel mining of closed frequent gradual itemsets.
Knowl. Inf. Syst.
Trong Dinh Thac Do, Alexandre Termier, Anne Laurent, Benjamin Négrevergne, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia
2014 J jnl
Para Miner: a generic pattern mining algorithm for multi-core architectures.
Data Min. Knowl. Discov.
Benjamin Négrevergne, Alexandre Termier, Marie-Christine Rousset, Jean-François Méhaut
2013 A* conf
Dominance Programming for Itemset Mining.
ICDM
Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen
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
2010 — conf
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses.
HPCS
Benjamin Négrevergne, Alexandre Termier, Jean-François Méhaut, Takeaki Uno
2010 — conf
Découverte d'itemsets fréquents fermés sur architecture multicoeurs.
EGC
Benjamin Négrevergne, Jean-François Méhaut, Alexandre Termier, Takeaki Uno
2010 — conf
Efficient Parallel Mining of Gradual Patterns on Multicore Processors.
EGC (best of volume)
Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier
2010 — conf
PGP-mc : extraction parallèle efficace de motifs graduels.
EGC
Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier
2010 — conf
PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns.
DASFAA (1)
Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier