Get started
Author

Antonin Poché

Natural Example-Based Explainability: A Survey
2023 · Antonin Poché, Lucas Hervier, et al. · Communications in computer and information science · 33
PDF
Xplique: A Deep Learning Explainability Toolbox
2022 · Fel, Thomas, Hervier, Lucas, et al. · arXiv (Cornell University) · 29
PDF
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
2025 · Antonin Poché, Alon Jacovi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
PDF
Exploring Plan Space Through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning
2026 · Guilhem Fouilhé, Rebecca Eifler, et al. · Lecture notes in computer science
PDF
Interpreto: An Explainability Library for Transformers
2026 · Association for Computational Linguistics 2026, Asher, Nicholas, et al. · Underline Science Inc.
Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics
2026 · Bernas, Raphael, Jourdan, Fanny, et al. · arXiv (Cornell University)
PDF
Bringing NLP Explainability to Critical Sectors: A Case Study on NOTAMs in Aviation
2026 · Mussot, Vincent, Hoofd, François, et al. · HAL
PDF
Interpreto: An Explainability Library for Transformers
2026 · Antonin Poché, Thomas Mullor, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Limitations of Automated Simulatability: LLM Simulators Can Bypass Explanations
2026 · Antonin Poché, Fanny Jourdan, et al. · BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
PDF
Guidelines to explain machine learning algorithms
2023 · Boisnard, Frédéric, Boumazouza, Ryma, et al. · HAL
PDF
Works count: 11
Citation count: 63
H-index: 2
I10-index: 2
Year
Topic
Type