Laurent Callot

28 papers A* 4A 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback. CoRR Prithwish Jana, Sam Davidson, Bhavana Bhasker, Andrey Kan, Anoop Deoras, Laurent Callot
2025	J	`jnl`	Large Language Model Critics for Execution-Free Evaluation of Code Changes. CoRR Aashish Yadavally, Hoan Nguyen, Laurent Callot, Gauthier Guinet
2025	J	`jnl`	Multi-IaC-Eval: Benchmarking Cloud Infrastructure as Code Across Multiple Formats. CoRR Sam Davidson, Li Sun, Bhavana Bhasker, Laurent Callot, Anoop Deoras
2025	J	`jnl`	SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents. CoRR Muhammad Shihab Rashid, Christian Bock, Yuan Zhuang, Alexander Buchholz, Timothy B. Esler, Simon Valentin, Luca Franceschi, Martin Wistuba, Prabhu Teja Sivaprasad, Woo Jung Kim, Anoop Deoras, Giovanni Zappella, Laurent Callot
2024	A*	`conf`	Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation. ICML Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras, Laurent Callot
2024	J	`jnl`	Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation. CoRR Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras, Laurent Callot
2024	J	`jnl`	MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series. CoRR Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan
2024	J	`jnl`	REDO: Execution-Free Runtime Error Detection for COding Agents. CoRR Shou Li, Andrey Kan, Laurent Callot, Bhavana Bhasker, Muhammad Shihab Rashid, Timothy B. Esler
2024	—	`conf`	Textual Dataset Distillation via Language Model Embedding. EMNLP (Findings) Yefan Tao, Luyang Kong, Andrey Kan, Laurent Callot
2023	J	`jnl`	Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. ACM Comput. Surv. Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
2023	A*	`conf`	Unsupervised Model Selection for Time Series Anomaly Detection. ICLR Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan
2022	J	`jnl`	Criteria for Classifying Forecasting Methods. CoRR Tim Januschowski, Jan Gasthaus, Yuyang Wang, David Salinas, Valentin Flunkert, Michael Bohlke-Schneider, Laurent Callot
2022	A	`conf`	Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. AISTATS Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot
2022	J	`jnl`	Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. CoRR Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot
2022	J	`jnl`	Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot
2022	J	`jnl`	Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series. CoRR Mostafa Rahmani, Anoop Deoras, Laurent Callot
2022	J	`jnl`	SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data. CoRR Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot
2022	A	`conf`	Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies. AISTATS Lenon Minorics, Ali Caner Türkmen, David Kernert, Patrick Blöbaum, Laurent Callot, Dominik Janzing
2022	J	`jnl`	Unsupervised Model Selection for Time-series Anomaly Detection. CoRR Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
2021	A*	`conf`	Online false discovery rate control for anomaly detection in time series. NeurIPS Quentin Rebjock, Baris Kurt, Tim Januschowski, Laurent Callot
2021	J	`jnl`	Online false discovery rate control for anomaly detection in time series. CoRR Quentin Rebjock, Baris Kurt, Tim Januschowski, Laurent Callot
2021	J	`jnl`	Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time Series. CoRR Elena Ehrlich, Laurent Callot, François-Xavier Aubet
2020	—	`conf`	A Simple and Effective Predictive Resource Scaling Heuristic for Large-scale Cloud Applications. AIDB@VLDB Quentin Rebjock, Valentin Flunkert, Tim Januschowski, Laurent Callot, Joel Castellon
2020	J	`jnl`	A simple and effective predictive resource scaling heuristic for large-scale cloud applications. CoRR Valentin Flunkert, Quentin Rebjock, Joel Castellon, Laurent Callot, Tim Januschowski
2020	J	`jnl`	Improve black-box sequential anomaly detector relevancy with limited user feedback. CoRR Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot
2020	J	`jnl`	Neural forecasting: Introduction and literature overview. CoRR Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski
2019	J	`jnl`	High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes. CoRR David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus
2019	A*	`conf`	High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes. NeurIPS David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus