Guillaume Staerman
15 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Collector
(71)
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Trend Setter
💎
Century Club · Bronze
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Unstoppable · Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Data Science & Analytics
(4)
Application Areas
(4)
Core AI
(4)
Core Methods
(4)
Methods
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Natural Language Processing
(2)
Applications
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Keywords
anomaly detection
(4)
wasserstein distance
(2)
isolation forest
(2)
optimal transport
(2)
generalization bound
(2)
unsupervised learning
(2)
functional data
(2)
hawkes process
(2)
statistical depth
(2)
out-of-distribution detection
(2)
summarization evaluation
(1)
robust statistics
(1)
text generation
(1)
fair classification
(1)
binary classification
(1)
neural machine translation
(1)
functional data analysis
(1)
machine translation
(1)
adversarial learning
(1)
mutual information
(1)
Papers
Signature Isolation Forest
AISTATS 2025
UNHaP: Unmixing Noise from Hawkes Processes
AISTATS 2025
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
EMNLP 2024
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection
AAAI 2024
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
IJCNLP 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
ICML 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
ICML 2023
Toward Stronger Textual Attack Detectors
EMNLP 2023
Beyond Mahalanobis Distance for Textual OOD Detection
NeurIPS 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
ACL 2022
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
EMNLP 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
ICML 2021
When OT meets MoM: Robust estimation of Wasserstein Distance
AISTATS 2021
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure
AISTATS 2020
Functional Isolation Forest
ACML 2019