Jekyll2026-02-26T15:36:13+00:00https://dig.telecom-paris.fr/feed.xmlDIG | NewsResearch group at Télécom Paris, Institut Polytechnique de Paris, France. Our research interests span knowledge graphs, language models, foundational models, learning over tabular data, graph mining, and stream mining. DIG has five articles accepted at ICLR 20262026-02-18T00:00:00+00:002026-02-18T00:00:00+00:00https://dig.telecom-paris.fr/news/ICLR

  • TabStruct: Measuring Structural Fidelity of Tabular Data. Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik

  • Query-Level Uncertainty in Large Language Models. Lihu Chen, Fabian M. Suchanek, Gaël Varoquaux, Gerard de Melo

  • Efficient Resource Constrained Training of Vision Transformers via Subspace Optimization. Le-Trung Nguyen, Enzo Tartaglione, Van-Tam Nguyen

  • Study of Training Dynamics for Memory-Constrained Fine-tuning. Aël Quélennec, Nour Hezbri, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione

  • INSTANT: Compressing Gradients and Activations for Resource-Efficient Training. Tuan-Kiet Doan, Trung-Hieu Tran, Enzo Tartaglione, Nikola Simidjievski, Van-Tam Nguyen

    • ]]>    Yanzhu Guo joined DIG2025-12-01T00:00:00+00:002025-12-01T00:00:00+00:00https://dig.telecom-paris.fr/news/YanzhuWe’re happy that Yanzhu Guo joined us as an assistant professor in the team! Welcome, Yanzhu!

    ]]>    Best Paper Award at ISWC 20252025-11-01T00:00:00+00:002025-11-01T00:00:00+00:00https://dig.telecom-paris.fr/news/ISWCYiwen Peng, Thomas Bonald and Fabian Suchanek received the Best Paper Award at ISWC 2025 for their paper “FLORA: Unsupervised Knowledge Graph Alignment by Fuzzy Logic.”

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