Laurent Callot
7 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
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Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Core AI
(4)
Core Methods
(3)
Learning Types
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
anomaly detection
(2)
time series
(2)
item response theory
(1)
time series anomaly detection
(1)
hypothesis testing
(1)
covariance estimation
(1)
granger causality
(1)
parameter-efficient learning
(1)
low-rank approximation
(1)
text classification
(1)
false discovery rate
(1)
statistical testing
(1)
time series forecasting
(1)
sequential hypothesis testing
(1)
rank aggregation
(1)
sequential testing
(1)
gaussian copula
(1)
multivariate time series
(1)
generative model
(1)
causal inference
(1)
Papers
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
ICML 2024
Textual Dataset Distillation via Language Model Embedding
EMNLP 2024
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
AISTATS 2022
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
AISTATS 2022
Online false discovery rate control for anomaly detection in time series
NeurIPS 2021
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
NeurIPS 2019