Seminars - page 3

The DIG team holds a seminar about every two weeks with speakers either from the team, or invited.

You can add the seminars to your calendar with this ics file, and get emails about future seminars by subscribing to our mailing-list.

If you would like to present your work at our seminar, please contact Nils.

Upcoming Seminars

Uncertainty in the Data Engineering Pipeline: From Imputation to Explanation

Tuesday, June 02, 2026 11:45, 4A301

Julia Stoyanovich (New York University)

Machine learning pipelines are commonly evaluated on model accuracy, yet much of the uncertainty that shapes real-world outcomes originates not in the model itself but in the data engineering decisions that precede it. This talk examines two manifestations of that upstream uncertainty and their downstream consequences for trustworthy AI.

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Title TBA

Tuesday, June 16, 2026 12:30, 4B01

Patricia Chiril

Abstract TBA

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Past Seminars

Neuro-symbolic approaches for the knowledge graph lifecycle

Tuesday, March 18, 2025 11:45, 4A301

Pierre Monnin (INRIA)

In the Web of Data, an increasing number of knowledge graphs (KGs) are concurrently published, edited, and accessed by human and software agents. Their wide adoption makes essential the tasks of their lifecycle: construction, refinement (e.g., matching, link prediction), mining, and usage to support applications (e.g., explainable AI, recommender systems). However, all these tasks require facing the inherent heterogeneity of KGs, e.g., in terms of granularities, vocabularies, and completeness. Besides, scalability issues arise due to their increasing size and combinatorial nature. In my talk, I will present my research on neuro-symbolic approaches for the KG lifecycle, intertwining domain knowledge from ontologies, deductive reasoning, analogical reasoning, and machine learning models. Throughout my presentation, I will show that such approaches enhance models by improving their semantic awareness, frugality, and the semantic interpretability of their latent representation space.

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