Nicolas CHESNEAU

Joined

January 2023

Names

Nicolas CHESNEAU (Preferred)

Emails

****@ekimetrics.com (Confirmed)

Personal Links

Career & Education History

PhD student

INRIA (inria.fr)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
Milan Bhan, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot
- EMNLP 2024
- Readers: Everyone
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
Milan Bhan, Yann CHOHO, Pierre Moreau, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot
- EMNLP 2025
- Readers: Everyone
Did You Faithfully Say What You Thought? Bridging the Gap Between LLMs Neural Activity and Self-Explanations
Milan Bhan, Nicolas CHESNEAU, Jean-Noël Vittaut, Sarath Chandar, Marie-Jeanne Lesot
- Submitted to ICLR 2026
- Readers: Everyone
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
Panayiotis Panayiotou, Audrey Poinsot, Alessandro Leite, Nicolas CHESNEAU, Marc Schoenauer, Özgür Şimşek
- Submitted to ICLR 2026
- Readers: Everyone
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal ML
Panayiotis Panayiotou, Audrey Poinsot, Alessandro Leite, Nicolas CHESNEAU, Marc Schoenauer, Özgür Şimşek
- Submitted to NeurIPS 2025 Datasets and Benchmarks Track
- Readers: Everyone
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
Audrey Poinsot, Panayiotis Panayiotou, Alessandro Leite, Nicolas CHESNEAU, Özgür Şimşek, Marc Schoenauer
- ICML 2025 Position Paper Track poster
- Readers: Everyone

Co-Authors