Mohamed Bouadi

According to our database, Mohamed Bouadi authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Shaping the Prior: How Synthetic Task Distributions Determine Tabular Foundation Model Quality.

Mohamed Bouadi, Nassim Bouarour, Varun Kulkarni, Shivam Dubey, Aditya Tanna, Vinay Kumar Sankarapu

CoRR, May, 2026

Distilling Tabular Foundation Models for Structured Health Data.

Aditya Tanna, Nassim Bouarour, Mohamed Bouadi, Vinay Kumar Sankarapu, Pratinav Seth

CoRR, May, 2026

Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap.

Aditya Tanna, Yash Desai, Pratinav Seth, Mohamed Bouadi, Nassim Bouarour, Vinay Kumar Sankarapu

CoRR, May, 2026

Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees.

Aditya Tanna, Nassim Bouarour, Mohamed Bouadi, Vinay Kumar Sankarapu, Pratinav Seth

CoRR, May, 2026

Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models.

Aditya Tanna, Mitul Solanki, Mohamed Bouadi, Nassim Bouarour, Pratinav Seth, Vinay Kumar Sankarapu

CoRR, May, 2026

TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models.

Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Exploring Fine-Tuning for Tabular Foundation Models.

Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu

Proceedings of the ACM Web Conference 2026, 2026

Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.

Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu

Proceedings of the ACM Web Conference 2026, 2026

2025

Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning.

Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu

CoRR, November, 2025

TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models.

Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Utsav Avaiya, Vinay Kumar Sankarapu

CoRR, November, 2025

REFINE: enhanced reinforced feature generation via semantic-guided exploration.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

World Wide Web (WWW), September, 2025

Synergizing Large Language Models and Knowledge-Based Reasoning for Interpretable Feature Engineering.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

Proceedings of the ACM on Web Conference 2025, 2025

DANTE: Hybrid AI System for Context-Aware Interpretable Feature Engineering.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

KnowFE : A Hybrid AI System for Explainable Feature Engineering using Knowledge-Guided Reinforcement Learning.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Semantic-based approaches for automating feature engineering and enhancing machine learning interpretability. (Exploitation des graphes de connaissance pour automatiser l'ingénierie des fonctionnalités et améliorer l'interprétabilité des modèles d'apprentissage machine).

Mohamed Bouadi

PhD thesis, 2024

Semantic-Guided RL for Interpretable Feature Engineering.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

CoRR, 2024

Leveraging Knowlegde Graphs for Interpretable Feature Generation.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

CoRR, 2024

KRAFT: Leveraging Knowledge Graphs for Interpretable Feature Generation.

Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

2021

Multi-Objective Recommendations and Promotions at TOTAL.

Idir Benouaret, Mohamed Bouadi, Sihem Amer-Yahia

Proceedings of the Database and Expert Systems Applications, 2021

2020

An ML-Powered Human Behavior Management System.

Sihem Amer-Yahia, Reynold Cheng, Mohamed Bouadi, Abdelouahab Chibah, Mohammadreza Esfandiari, Jiangping Zhou, Nan Zhang, Eric Lau, Yuguo Li, Xiaolin Han, Shivansh Mittal

IEEE Data Eng. Bull., 2020