Taieb, Souhaib Ben

11 publications

NeurIPS 2025 An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination Sukanya Patra, Souhaib Ben Taieb

NeurIPS 2025 Multivariate Latent Recalibration for Conditional Normalizing Flows Victor Dheur, Souhaib Ben Taieb

TMLR 2025 Preventing Conflicting Gradients in Neural Marked Temporal Point Processes Tanguy Bosser, Souhaib Ben Taieb

ECML-PKDD 2025 Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants Yorick Estievenart, Sukanya Patra, Souhaib Ben Taieb

TMLR 2024 Anomaly Detection with Semi-Supervised Classification Based on Risk Estimators Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb

MLJ 2024 Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb

NeurIPSW 2024 Preventing Conflicting Gradients in Neural Temporal Point Process Models for Irregular Time Series Data Tanguy Bosser, Souhaib Ben Taieb

TMLR 2024 Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection Sukanya Patra, Souhaib Ben Taieb

TMLR 2023 On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-Time Event Data Tanguy Bosser, Souhaib Ben Taieb

ICML 2017 Coherent Probabilistic Forecasts for Hierarchical Time Series Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman

AAAI 2017 Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal