Vincent Grari

26 papers A* 4Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic Adversarial QA for Improving Domain-Specific LLMs.
CoRR
Vincent Grari, Ciprian Tomoiaga, Sylvain Lamprier, Tatsunori Hashimoto, Marcin Detyniecki
2025 J jnl
ACT: Agentic Classification Tree.
CoRR
Vincent Grari, Tim Arni, Thibault Laugel, Sylvain Lamprier, James Zou, Marcin Detyniecki
2025 J jnl
Controlled Model Debiasing through Minimal and Interpretable Updates.
CoRR
Federico Di Gennaro, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025 J jnl
Controlled Model Debiasing through Minimal and Interpretable Updates.
Trans. Mach. Learn. Res.
Federico Di Gennaro, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025 J jnl
Energy Scaling Laws for Diffusion Models: Quantifying Compute and Carbon Emissions in Image Generation.
CoRR
Aniketh Iyengar, Jiaqi Han, Boris Ruf, Vincent Grari, Marcin Detyniecki, Stefano Ermon
2025 — conf
SAKE: Steering Activations for Knowledge Editing.
ACL (1)
Marco Scialanga, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025 J jnl
SAKE: Steering Activations for Knowledge Editing.
CoRR
Marco Scialanga, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025 — conf
When Mitigating Bias is Unfair: Multiplicity and Arbitrariness in Algorithmic Group Fairness.
SaTML
Natasa Krco, Thibault Laugel, Vincent Grari, Jean-Michel Loubes, Marcin Detyniecki
2024 A* conf
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing.
ICLR
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
2024 J jnl
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning.
CoRR
Vincent Grari, Marcin Detyniecki
2024 J jnl
Post-processing fairness with minimal changes.
CoRR
Federico Di Gennaro, Thibault Laugel, Vincent Grari, Xavier Renard, Marcin Detyniecki
2023 J jnl
Adversarial learning for counterfactual fairness.
Mach. Learn.
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2023 J jnl
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing.
CoRR
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
2022 J jnl
A fair pricing model via adversarial learning.
CoRR
Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki
2022 — —
Adversarial mitigation to reduce unwanted biases in machine learning. (Réduire les biais indésirables en apprentissage automatique par atténuation adverse).
Vincent Grari
2022 A* conf
Fairness without the Sensitive Attribute via Causal Variational Autoencoder.
IJCAI
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2021 — conf
Enforcing Individual Fairness via Rényi Variational Inference.
ICONIP (5)
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
2021 J jnl
Fairness without the sensitive attribute via Causal Variational Autoencoder.
CoRR
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2021 — conf
Learning Unbiased Representations via Rényi Minimization.
ECML/PKDD (2)
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
2020 J jnl
Achieving Fairness with Decision Trees: An Adversarial Approach.
Data Sci. Eng.
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2020 J jnl
Adversarial Learning for Counterfactual Fairness.
CoRR
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2020 A* conf
Fairness-Aware Neural Rényi Minimization for Continuous Features.
IJCAI
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2020 J jnl
Learning Unbiased Representations via Rényi Minimization.
CoRR
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
2019 A* conf
Fair Adversarial Gradient Tree Boosting.
ICDM
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2019 J jnl
Fair Adversarial Gradient Tree Boosting.
CoRR
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2019 J jnl
Fairness-Aware Neural Réyni Minimization for Continuous Features.
CoRR
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki