Laurent Callot
7 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5) π Cross-Pollinator (9)
π
Interdisciplinary Bridge
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(18)
π±
Topic Pioneer
Conferences
AISTATS (2)
NIPS (2)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
anomaly detection
(2)
time series
(2)
text classification
(1)
covariance estimation
(1)
parameter-efficient learning
(1)
granger causality
(1)
low-rank approximation
(1)
hypothesis testing
(1)
statistical testing
(1)
time series forecasting
(1)
sequential hypothesis testing
(1)
sequential testing
(1)
gaussian copula
(1)
multivariate time series
(1)
generative model
(1)
recurrent neural network
(1)
convolutional network
(1)
variational autoencoder
(1)
dataset distillation
(1)
panel datum
(1)
Papers
Textual Dataset Distillation via Language Model Embedding
EMNLP 2024
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
ICML 2024
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
AISTATS 2022
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
AISTATS 2022
Online false discovery rate control for anomaly detection in time series
NIPS 2021
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
NIPS 2019