talks

Below, you can find a selection of talks, lectures, panels, and podcasts.

Towards Contextualizing Sensitive Data Detection [pdf]
UN ECE Expert Meeting on Statistical Data Confidentiality, October 2025
Open-domain querying over structured data [pdf]
ELLIS Scientific Day / IBM Seminar on Semantics and Tabular Data / SAP AI Research Retreat, May-October 2025
What Table Representation Learning brings to Data Systems [pdf]
COMPASS Seminar ETH Zürich / CWI Lectures, December 2024
Retrieval Systems for Structured Data: the missing piece for grounding LLM-powered query interfaces in factual data [pdf]
BIDS Seminar UC Berkeley / SF Tech Meetup on AI and Relational Data, October 2024
Advances, challenges, and opportunities in Table Representation Learning [pdf]
Microsoft Gray Systems Lab / University of Washington / Google Systems Research / UC Berkeley, March-July 2024
Towards Table Representation Learning for end-to-end data management and analysis
> Inria-Saclay / MLSys and SysML workshop @ BTW / HPI / TU Darmstadt, April-June 2024

Representation Learning and Generative Models for Tabular Data [pdf]
BIFOLD TU Berlin, January 2025

“Neural Relational Data: Tabular Foundation Models, LLMs… or both?”, VLDB conference, London, September 2025
Transformers at Work, Zeta Alpha Amsterdam, September 2023

You’re always (always!) dealing with many (many!) tables [link]
Sample Space podcast (Probabl AI), Vincent Warmerdam, September 2024
Table Representation Learning [link]
Weaviate Podcast, Connor Shorten, November 2023
GitTables: A Large-Scale Corpus of Relational Tables [link]
Disseminate Podcast, Jack Waudby, July 2023