Seminars - page 7
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
CIPHER: Towards Sovereign Blockchain Intelligence for Europe
Tuesday, November 17, 2026 11:45, 4A301
Peter Fratric (European Commission’s Joint Research Centre)
In an era of heightened geopolitical uncertainty, the European Union is pursuing greater strategic autonomy in critical digital technologies. As crypto-assets and DeFi continue to reshape global markets, developing sovereign analytical capabilities is increasingly important for European financial stability, supervisory independence and monetary sovereignty. Initiated by the European Commission’s Joint Research Centre, CIPHER (Crypto Intelligence Platform for a Holistic European Regulation) provides a scalable intelligence architecture designed to translate complex on-chain data into actionable policy insights. By ingesting data directly from blockchain nodes and processing it through dedicated storage, indexing and analytics layers, CIPHER provides the foundation for near-real-time monitoring of crypto-asset markets, transfers and protocol activity. Current development focuses on advancing in-house methodologies for entity resolution and attribution, extending transfer-level monitoring capabilities, and addressing technical challenges related to blockchain interoperability and cross-chain analysis. In parallel, CIPHER is laying the groundwork for longer-term risk-assessment and stress-testing capabilities, while exploring greater data interoperability across EU institutions and strengthening collaboration with academia. The presentation provides an update on these developments and demonstrates how CIPHER is evolving into a sovereign European capability for crypto-market intelligence and evidence-based regulatory decision-making.
Riding the Waves of Change: Towards Streaming Continual Learning
Wednesday, November 18, 2026 11:45, 4A301
Federico Giannini (Politecnico di Milano)
Real-world data streams continuously evolve, requiring Machine Learning models to adapt to changing distributions while preserving previously acquired knowledge. Some streaming scenarios, such as sensor data streams, also exhibit temporal dependencies. This setting is defined as Evolving Streaming Time Series (ESTS).
Scalable Graph Edit Distance with Deep Reinforcement Learning
Tuesday, December 01, 2026 11:45, 4A301
Hector Kohler
In this talk, we will tackle the Graph Edit Distance (GED) problem. Given two labeled graphs, how many edits does one need to get from one graph to the other (e.g. remove edge, add node, relabel nodes…)? This is an NP-hard problem for which exact solvers can’t scale past graphs with ~20 nodes. In recent years, graph machine learning has shown good performances in the supervised learning setting for the GED. GNN models are trained on graph edit distance instances with up to ~20 nodes, for which exact labels can be computed, and then are used at test time to solve larger and larger instances. Unsuprisingly, performances decay with problem size. In parallel, optimal transport approaches were also studied. They formulate GED as a graph matching problem that can be approximated in cubic time and quadratic space and where supervised training labels are not necessary. The OT quadratic space complexity prohibits scaling to 1000s nodes. We propose to use deep reinforcement learning to train policies that can approximate GED in quadratic time and linear space. We show empirically that our approach can compute GED at scale better than all other existing work.
Title TBA
Wednesday, December 09, 2026 11:45, 4A301
Steffen Staab
Abstract TBA
Past Seminars
None
Tuesday, February 14, 2023 11:45, None
Lihu Chen (None)
None