MCML Industry Pitchtalks With SAP

Join Us for Networking and Insights

22.07.2025

SAP Labs Garching, Friedrich-Ludwig-Bauer-Straße 5, 85748 Garching bei München

On July 22nd, we will be invited to the new SAP Labs in Garching, for a Meetup in our series MCML Pitchtalks with Industry.

Some of our junior members and research staff from SAP will show each other's research on AI Agents and Generative AI.

Join us for a lively meetup, and feel free to reach out to our PhD Coordinator Thomas Meier for more information.

Stay tuned for more pitchtalk events!

Agenda
15:30	Open Doors
16:00	Quick Welcome by SAP and MCML
16:05 - 16:20	Ivica Obadic Explainable AI for Earth Observation Earth Observation (EO) is a valuable data source in tackling pressing challenges such as climate extreme events, agriculture monitoring or urban planning. In recent years, the deep learning approaches became a dominant approach for knowledge extraction in EO as they are capable of automated feature extraction that yields high predictive performance. However, their black-box nature hinders intuitive understanding of the model decisions, which represents an obstacle for the wider acceptance of these models in critical applications. In this talk, I will present diverse explainable approaches that provide interpretation to deep learning approaches models for monitoring socioeconomic outcomes, scene classification, and agriculture monitoring.
16:20 - 16:35	Maximilian Mutschalik shapiq: Shapley Interactions for Machine Learning Recently, we presented `shapiq`, an open-source library for explainable AI with Shapley interactions. Shapley interactions extend the well-known concept of model explanations via Shapley values and allows finding interactions of any-order. Next to Shapley-based explanations, `shapiq` also offers methods to compute a wide collection of different game-theoretic concepts, which can be of use in different settings apart from explainable AI, such as data valuation or feature selection. The pitch talk will present the library and the research work it is built upon.
16:35 - 16:50	Yunpu Ma Agentic Neural Network Modern challenges increasingly demand collaborative intelligence, yet most multi-agent systems remain statically designed and manually coordinated. In this talk, we introduce the Agentic Neural Network, a conceptual framework that treats agent collaboration like layered computation in a neural network. Each agent functions as a dynamic node, forming structured teams that specialize in different subtasks and evolve through iterative feedback. This approach enables scalable, adaptive agentic systems that self-organize and improve over time—without relying on fixed configurations.
16:50 - 17:05	Talk by SAP
17:05 - 17:20	Talk by SAP
17:20	Time for Networking