Benjamin Négrevergne

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Venues

CoRR

ACML

NeurIPS

ILP (Late Breaking Papers)

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
Optimal Budgeted Rejection Sampling for Generative Models. AISTATS (2024)
Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen
Exploring Precision and Recall to assess the quality and diversity of LLMs. ACL (1) (2024)
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. NeurIPS (2023)
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Training Normalizing Flows with the Precision-Recall Divergence. CoRR (2023)
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR (2023)
Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
Optimal Budgeted Rejection Sampling for Generative Models. CoRR (2023)
Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre
On the Role of Randomization in Adversarially Robust Classification. NeurIPS (2023)
Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
Adversarial attacks for mixtures of classifiers. CoRR (2023)
Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier
Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR (2023)
Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi
On the expressivity of bi-Lipschitz normalizing flows. ACML (2022)
Boris Doux, Benjamin Négrevergne, Tristan Cazenave
Deep Reinforcement Learning for Morpion Solitaire. ACG (2021)
Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre
On the expressivity of bi-Lipschitz normalizing flows. CoRR (2021)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI (2021)
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
Advocating for Multiple Defense Strategies Against Adversarial Examples. PKDD/ECML Workshops (2020)
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
Advocating for Multiple Defense Strategies against Adversarial Examples. CoRR (2020)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI (2020)
Nicolas Boria, Benjamin Négrevergne, Florian Yger
Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent. ESANN (2020)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR (2020)
Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
Robust Neural Networks using Randomized Adversarial Training. CoRR (2019)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR (2019)
Jerry Lonlac, Benjamin Négrevergne, Yannick Miras, Aude Beauger, Engelbert Mephu Nguifo
Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la Temporalité. EGC (2018)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) (2018)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Training compact deep learning models for video classification using circulant matrices. CoRR (2018)
Adrian Lecoutre, Benjamin Négrevergne, Florian Yger
Recognizing Art Style Automatically in Painting with Deep Learning. ACML (2017)
Benjamin Négrevergne, Tristan Cazenave
Distributed Nested Rollout Policy for SameGame. CGW@IJCAI (2017)
Ahmed Samet, Thomas Guyet, Benjamin Négrevergne
Mining Rare Sequential Patterns with ASP. ILP (Late Breaking Papers) (2017)
Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho
Expert Opinion Extraction from a Biomedical Database. ECSQARU (2017)
Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho
Expert Opinion Extraction from a Biomedical Database. CoRR (2017)
Tias Guns, Sergey Paramonov, Benjamin Négrevergne
On Declarative Modeling of Structured Pattern Mining. AAAI Workshop: Declarative Learning Based Programming (2016)
Rémi Coletta, Benjamin Négrevergne
A SAT model to mine flexible sequences in transactional datasets. CoRR (2016)
Boris Doux, Clément Gautrais, Benjamin Négrevergne
Detecting Strategic Moves in HearthStone Matches. MLSA@PKDD/ECML (2016)
Benjamin Négrevergne, Tias Guns
Constraint-Based Sequence Mining Using Constraint Programming. CPAIOR (2015)
Trong Dinh Thac Do, Alexandre Termier, Anne Laurent, Benjamin Négrevergne, Behrooz Omidvar-Tehrani, Sihem Amer-Yahia
PGLCM: efficient parallel mining of closed frequent gradual itemsets. Knowl. Inf. Syst. 43 (3) (2015)
Benjamin Négrevergne, Tias Guns
Constraint-based sequence mining using constraint programming. CoRR (2015)
Benjamin Négrevergne, Alexandre Termier, Marie-Christine Rousset, Jean-François Méhaut
Para Miner: a generic pattern mining algorithm for multi-core architectures. Data Min. Knowl. Discov. 28 (3) (2014)
Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen
Dominance Programming for Itemset Mining. ICDM (2013)
Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier
PGP-mc : extraction parallèle efficace de motifs graduels. EGC (2010)
Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier
PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns. DASFAA (1) (2010)
Benjamin Négrevergne, Jean-François Méhaut, Alexandre Termier, Takeaki Uno
Découverte d'itemsets fréquents fermés sur architecture multicoeurs. EGC (2010)
Benjamin Négrevergne, Alexandre Termier, Jean-François Méhaut, Takeaki Uno
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses. HPCS (2010)
Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, Alexandre Termier
Efficient Parallel Mining of Gradual Patterns on Multicore Processors. EGC (best of volume) (2010)

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Publication Activity (10 Years)

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Benjamin Négrevergne