Géraldin Nanfack

20 papers A* 1A 1B 2C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Refusal Ablation in LLM through Optimal Transport.
CoRR
Géraldin Nanfack, Eugene Belilovsky, Elvis Dohmatob
2026 J jnl
From Feature Visualization to Visual Circuits: Effect of Model Perturbation.
Trans. Mach. Learn. Res.
Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
2025 J jnl
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups.
CoRR
Géraldin Nanfack, Eugene Belilovsky
2025 J jnl
Test Time Adaptation Using Adaptive Quantile Recalibration.
CoRR
Paria Mehrbod, Pedro Vianna, Géraldin Nanfack, Guy Wolf, Eugene Belilovsky
2024 A* conf
Adversarial Attacks on the Interpretation of Neuron Activation Maximization.
AAAI
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
2024 J jnl
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation.
CoRR
Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
2024 J jnl
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting.
CoRR
Humza Wajid Hameed, Géraldin Nanfack, Eugene Belilovsky
2023 J jnl
Adversarial Attacks on the Interpretation of Neuron Activation Maximization.
CoRR
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
2023 — conf
An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision.
PKDD/ECML Workshops (1)
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer
2023 J jnl
An Experimental Investigation into the Evaluation of Explainability Methods.
CoRR
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer
2023 J jnl
Decision trees: from efficient prediction to responsible AI.
Frontiers Artif. Intell.
Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen
2023 — conf
Explaining through Transformer Input Sampling.
ICCV (Workshops)
Alexandre Englebert, Sédrick Stassin, Géraldin Nanfack, Sidi Ahmed Mahmoudi, Xavier Siebert, Olivier Cornu, Christophe De Vleeschouwer
2023 J jnl
Learning Customised Decision Trees for Domain-knowledge Constraints.
Pattern Recognit.
Géraldin Nanfack, Paul Temple, Benoît Frénay
2022 — —
Constraint Enforcement on Decision Trees and its Application to Global Explainability
Géraldin Nanfack
2022 J jnl
Constraint Enforcement on Decision Trees: A Survey.
ACM Comput. Surv.
Géraldin Nanfack, Paul Temple, Benoît Frénay
2021 B conf
Boundary-Based Fairness Constraints in Decision Trees and Random Forests.
ESANN
Géraldin Nanfack, Valentin Delchevalerie, Benoît Frénay
2021 A conf
Global explanations with decision rules: a co-learning approach.
UAI
Géraldin Nanfack, Paul Temple, Benoît Frénay
2020 B conf
Explaining t-SNE Embeddings Locally by Adapting LIME.
ESANN
Adrien Bibal, Viet Minh Vu, Géraldin Nanfack, Benoît Frénay
2017 J jnl
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation.
CoRR
Géraldin Nanfack, Azeddine Elhassouny, Rachid Oulad Haj Thami
2017 C conf
Squeeze-SegNet: a new fast deep convolutional neural network for semantic segmentation.
ICMV
Géraldin Nanfack, Azeddine Elhassouny, Rachid Oulad Haj Thami