Nicolas Chesneau

25 papers A* 2A 1B 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning.
CoRR
Panayiotis Panayiotou, Audrey Poinsot, Alessandro Ferreira Leite, Nicolas Chesneau, Marc Schoenauer, Özgür Simsek
2025 J jnl
Did I Faithfully Say What I Thought? Bridging the Gap Between Neural Activity and Self-Explanations in Large Language Models.
CoRR
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Sarath Chandar, Marie-Jeanne Lesot
2025 J jnl
Foundation models for time series forecasting: Application in conformal prediction.
CoRR
Sami Achour, Yassine Bouher, Duong Nguyen, Nicolas Chesneau
2025 — conf
Mitigating Text Toxicity with Counterfactual Generation.
xAI (4)
Milan Bhan, Jean-Noël Vittaut, Nina Achache, Victor Legrand, Annabelle Blangero, Nicolas Chesneau, Juliette Murris, Marie-Jeanne Lesot
2025 — conf
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption.
ICML (Position Papers)
Audrey Poinsot, Panayiotis Panayiotou, Alessandro Ferreira Leite, Nicolas Chesneau, Özgür Simsek, Marc Schoenauer
2025 J jnl
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption.
CoRR
Audrey Poinsot, Panayiotis Panayiotou, Alessandro Ferreira Leite, Nicolas Chesneau, Özgür Simsek, Marc Schoenauer
2025 — conf
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models.
EMNLP (Findings)
Milan Bhan, Yann Choho, Jean-Noël Vittaut, Nicolas Chesneau, Pierre Moreau, Marie-Jeanne Lesot
2025 J jnl
Towards Achieving Concept Completeness for Unsupervised Textual Concept Bottleneck Models.
CoRR
Milan Bhan, Yann Choho, Pierre Moreau, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot
2024 J jnl
ClimateQ&A: Bridging the gap between climate scientists and the general public.
CoRR
Natalia De La Calzada, Théo Alves Da Costa, Annabelle Blangero, Nicolas Chesneau
2024 A* conf
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges.
IJCAI
Audrey Poinsot, Alessandro Ferreira Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer
2024 J jnl
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges.
CoRR
Audrey Poinsot, Alessandro Ferreira Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer
2024 B conf
Magazine Supply Optimization: A Case-Study.
DSAA
Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau
2024 J jnl
Magazine Supply Optimization: a Case-study.
CoRR
Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau
2024 J jnl
Mitigating Text Toxicity with Counterfactual Generation.
CoRR
Milan Bhan, Jean-Noël Vittaut, Nina Achache, Victor Legrand, Nicolas Chesneau, Annabelle Blangero, Juliette Murris, Marie-Jeanne Lesot
2024 A* conf
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations.
EMNLP
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot
2024 J jnl
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations.
CoRR
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot
2023 — conf
Evaluating Self-attention Interpretability Through Human-Grounded Experimental Protocol.
xAI (3)
Milan Bhan, Nina Achache, Victor Legrand, Annabelle Blangero, Nicolas Chesneau
2023 J jnl
Evaluating self-attention interpretability through human-grounded experimental protocol.
CoRR
Milan Bhan, Nina Achache, Victor Legrand, Annabelle Blangero, Nicolas Chesneau
2023 J jnl
TIGTEC : Token Importance Guided TExt Counterfactuals.
CoRR
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot
2023 — conf
TIGTEC: Token Importance Guided TExt Counterfactuals.
ECML/PKDD (3)
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot
2018 J jnl
Learning From Web Videos for Event Classification.
IEEE Trans. Circuits Syst. Video Technol.
Nicolas Chesneau, Karteek Alahari, Cordelia Schmid
2018 — —
Learning to Recognize Actions with Weak Supervision. (Reconnaissance d'actions de manière faiblement supervisée).
Nicolas Chesneau
2017 A conf
Detecting Parts for Action Localization.
BMVC
Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid
2017 J jnl
Detecting Parts for Action Localization.
CoRR
Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid
2014 — conf
The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection.
TRECVID
Matthijs Douze, Dan Oneata, Mattis Paulin, Clément Leray, Nicolas Chesneau, Danila Potapov, Jakob Verbeek, Karteek Alahari, Zaïd Harchaoui, Lori Lamel, Jean-Luc Gauvain, Christoph Schmidt, Cordelia Schmid