Guillaume Staerman
16 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(6)
💎
Century Club
(16)
🗃️
Keyword Collector
(64)
⚡
Prolific Year
(5)
🔥
Unstoppable
(7)
Conferences
AISTATS (4)
EMNLP (3)
ICML (3)
AAAI (1)
AACL (1)
ACL (1)
ACML (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
anomaly detection
(3)
unsupervised learning
(2)
out-of-distribution detection
(2)
wasserstein distance
(2)
generalization bound
(2)
optimal transport
(2)
summarization evaluation
(1)
text generation
(1)
binary classification
(1)
neural machine translation
(1)
machine translation
(1)
robust statistics
(1)
adversarial learning
(1)
fair classification
(1)
time series
(1)
outlier detection
(1)
empirical risk minimization
(1)
mutual information
(1)
functional data analysis
(1)
text classification
(1)
Papers
UNHaP: Unmixing Noise from Hawkes Processes
AISTATS 2025
Signature Isolation Forest
AISTATS 2025
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection
AAAI 2024
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
EMNLP 2024
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
IJCNLP 2023
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
AACL 2023
Toward Stronger Textual Attack Detectors
EMNLP 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
ICML 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
ICML 2023
Beyond Mahalanobis Distance for Textual OOD Detection
NIPS 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
ACL 2022
When OT meets MoM: Robust estimation of Wasserstein Distance
AISTATS 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
ICML 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
EMNLP 2021
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure
AISTATS 2020
Functional Isolation Forest
ACML 2019