Callot, Laurent

8 publications

ICML 2024 Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras, Laurent Callot

ICLR 2023 Unsupervised Model Selection for Time Series Anomaly Detection Mononito Goswami, Cristian Ignacio Challu, Laurent Callot, Lenon Minorics, Andrey Kan

AISTATS 2022 Deep Generative Model with Hierarchical Latent Factors for Time Series Anomaly Detection Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

AISTATS 2022 Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies Lenon Minorics, Caner Turkmen, David Kernert, Patrick Bloebaum, Laurent Callot, Dominik Janzing

NeurIPSW 2022 Quantifying Causal Contribution in Rare Event Data Ali Caner Turkmen, Dominik Janzing, Oleksandr Shchur, Lenon Minorics, Laurent Callot

NeurIPSW 2021 Deep Generative Model with Hierarchical Latent Factors for Timeseries Anomaly Detection Cristian Ignacio Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

NeurIPS 2021 Online False Discovery Rate Control for Anomaly Detection in Time Series Quentin Rebjock, Baris Kurt, Tim Januschowski, Laurent Callot

NeurIPS 2019 High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus