Nathan Noiry

24 papers A* 5Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images.
CoRR
Thalyssa Baiocco-Rodrigues, Antoine Olivier, Reda Belbahri, Thomas Duboudin, Pierre-Antoine Bannier, Benjamin Adjadj, Katharina von Loga, Nathan Noiry, Maxime Touzot, Hector Roux de Bezieux
2024 J jnl
Learning to rank anomalies: scalar performance criteria and maximization of rank statistics.
Mach. Learn.
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
2024 — conf
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.
EMNLP (Findings)
Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo
2023 J jnl
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection.
CoRR
Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
2023 — conf
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification.
IJCNLP (Findings)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
2023 J jnl
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification.
CoRR
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
2023 J jnl
Online Matching in Geometric Random Graphs.
CoRR
Flore Sentenac, Nathan Noiry, Matthieu Lerasle, Laurent Ménard, Vianney Perchet
2023 — conf
The Glass Ceiling of Automatic Evaluation in Natural Language Generation.
IJCNLP (Findings)
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
2023 — conf
Toward Stronger Textual Attack Detectors.
EMNLP (Findings)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
2023 J jnl
Toward Stronger Textual Attack Detectors.
CoRR
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
2023 J jnl
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.
CoRR
Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo
2022 A* conf
Beyond Mahalanobis Distance for Textual OOD Detection.
NeurIPS
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
2022 J jnl
Beyond Mahalanobis-Based Scores for Textual OOD Detection.
CoRR
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
2022 — conf
Learning Disentangled Textual Representations via Statistical Measures of Similarity.
ACL (1)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
2022 J jnl
Learning Disentangled Textual Representations via Statistical Measures of Similarity.
CoRR
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
2022 J jnl
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model.
CoRR
Jean-Rémy Conti, Nathan Noiry, Vincent Despiegel, Stéphane Gentric, Stéphan Clémençon
2022 A* conf
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model.
ICML
Jean-Rémy Conti, Nathan Noiry, Stéphan Clémençon, Vincent Despiegel, Stéphane Gentric
2022 J jnl
The Glass Ceiling of Automatic Evaluation in Natural Language Generation.
CoRR
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
2022 A* conf
What are the best Systems? New Perspectives on NLP Benchmarking.
NeurIPS
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
2022 J jnl
What are the best systems? New perspectives on NLP Benchmarking.
CoRR
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
2021 A* conf
Learning from Biased Data: A Semi-Parametric Approach.
ICML
Patrice Bertail, Stéphan Clémençon, Yannick Guyonvarch, Nathan Noiry
2021 — conf
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics.
LIDTA@ECML/PKDD
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
2021 A* conf
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm.
NeurIPS
Nathan Noiry, Vianney Perchet, Flore Sentenac
2021 J jnl
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm.
CoRR
Nathan Noiry, Flore Sentenac, Vianney Perchet