Benjamin Négrevergne

According to our database1, Benjamin Négrevergne authored at least 36 papers between 2010 and 2024.

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Bibliography

2024
Optimal Budgeted Rejection Sampling for Generative Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Exploring Precision and Recall to assess the quality and diversity of LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Adversarial attacks for mixtures of classifiers.
CoRR, 2023

Randomization for adversarial robustness: the Good, the Bad and the Ugly.
CoRR, 2023

Training Normalizing Flows with the Precision-Recall Divergence.
CoRR, 2023

Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows.
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.
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.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Deep Reinforcement Learning for Morpion Solitaire.
Proceedings of the Advances in Computer Games - 17th International Conference, 2021

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory.
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.
CoRR, 2020

Advocating for Multiple Defense Strategies Against Adversarial Examples.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Understanding and Training Deep Diagonal Circulant Neural Networks.
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.
CoRR, 2019

On the Expressive Power of Deep Fully Circulant Neural Networks.
CoRR, 2019

2018
Fouille de Motifs Graduels Fermés Fréquents Sous Contrainte de la Temporalité.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Training Compact Deep Learning Models for Video Classification Using Circulant Matrices.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Mining Rare Sequential Patterns with ASP.
Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017

Distributed Nested Rollout Policy for SameGame.
Proceedings of the Computer Games - 6th Workshop, 2017

Expert Opinion Extraction from a Biomedical Database.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Recognizing Art Style Automatically in Painting with Deep Learning.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Modeling in MiningZinc.
Proceedings of the Data Mining and Constraint Programming, 2016

A SAT model to mine flexible sequences in transactional datasets.
CoRR, 2016

Detecting Strategic Moves in HearthStone Matches.
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.
Proceedings of the Declarative Learning Based Programming, 2016

2015
PGLCM: efficient parallel mining of closed frequent gradual itemsets.
Knowl. Inf. Syst., 2015

Constraint-Based Sequence Mining Using Constraint Programming.
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.
Data Min. Knowl. Discov., 2014

2013
Dominance Programming for Itemset Mining.
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).
PhD thesis, 2011

2010
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses.
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

Découverte d'itemsets fréquents fermés sur architecture multicoeurs.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Efficient Parallel Mining of Gradual Patterns on Multicore Processors.
Proceedings of the Advances in Knowledge Discovery and Management, 2010

PGP-mc : extraction parallèle efficace de motifs graduels.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns.
Proceedings of the Database Systems for Advanced Applications, 2010


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