relAI invites you to a series of workshops to advance the collaboration between relAI and our partners. See the programme below.
Please register for workshop attendance. We will send you an email with the Zoom login for the respective workshops shortly before the respective dates.

We also invite our partners to present their institution and their activities in reliable AI to our students. Please use the registration form to indicate your interest and availability.

Registration closed!


Registration


Registration

* Mandatory fields
aka "given name", "Christian name"
aka family name, surname
name of your company or research institution (e.g. Infineon, AI4OPT)
function in your organisation (e.g. Head of Data Analytics)
Please select the sessions you would like to join
Please select dates on which you could present your company / institution
Please enter any other info you would like to share
Declaration of consent to the processing of personal data

I hereby agree that the data collected here will be will be processed for the organization of the Industry Workshop of the Zuse School of Excellence in Reliable Artificial Intelligence (relAI).

The deletion of the data will take place after the event.

Consequences in the event of a lack of consent

You have the right not to agree to this declaration of consent. You will then not be registered.

Your rights: Information, correction, deletion, restriction of processing, objection, complaint

Subject to the legal requirements exists
  • a right to information,
  • as well as rectification or erasure or restriction of processing or a right to object to processing,
  • and a right to data portability.
  • There is also a right of appeal to the Bavarian State Commissioner for Data Protection.


Consequences of withdrawing consent

Once a declaration of revocation has been received, your data will be deleted immediately. The revocation of your consent does not affect the legality of the processing that has taken place up to that point. Please address the revocation to the address below.

Coordinators of Zuse School of Excellence in Reliable Artificial Intelligence

Munich Data Science Institute

Technical University Munich

Walther-von-Dyck-Straße 10

85748 Garching, Germany

coordinators@zuseschoolrelai.de


Programme

The format of the workshops is as follows:
After a brief introduction to relAI, the students will present their research in lightning talks (about 5 min each).
After the talks, every student will be assigned to a breakout room, where interested parties can subsequently enter into discussions.
The workshop end is open and depends on the interest of the attendees.

Tuesday, April 29th, 3 pm CEST

Medicine and Healthcare

Trustworthy Multi-modal Differential Diagnosis of Dementia with Synthetic Medical Image Generation
Yitong Li (TUM)

Algorithmic Decision-Making

Understanding and Mitigating AI Risks in Socially Relevant Applications
Sarah Ball (LMU)

Machine Learning for Reliable Decision-Making
Unai Fischer Abaigar (LMU)

Uncertainty Representation and Quantification in Machine Learning
Yusuf Sale (LMU)

Mathematical and Algorithmic Foundations

Uncertainty Quantification for Neural Operators
Christopher Bülte (LMU)

Learning and Leveraging Causal Models
Yorou Liang (TUM)

Implicit Bias and Generalization in Neural Networks
Maria Matveev (LMU)

 
Monday, May 5th, 3 pm CEST

Medicine and Healthcare

Learning to Generalize across Complex Distribution Shifts in Medical Imaging
Sameer Ambekar (TUM)

Deep Learning for Longitudinal MR Image Analysis in Multiple Sclerosis Patients
Aswathi (TUM)

Robotics and Interacting Systems

Safe and Reliable Machine Learning For Robot Control
Ahmed Abdelrahman (TUM)

Safe Human-Robot Interaction through Machine Learning and Formal Methods Techniques
Julian Balletshofer (TUM)

Learning Optimal Control for Risk-Averse Decision-Making in Uncertain Systems
Nicolas Hoischen (TUM)

Generation of Safe and Dynamically Consistent Trajectories via Control-Augmented Diffusion Models
Tzu-Yuan Huang (TUM)

Mathematical and Algorithmic Foundations

Trustworthy and Understandable Generative Foundation Models
Shuo Chen (LMU)

On the Hegemony of GEMM
Sarah Pardo (LMU)


Friday, May 9th, 3 pm CEST

Robotics and Interacting Systems

Learning with Dynamical Systems for Control
Max Beier (TUM)

Towards Reliable Video Understanding with Large Language Models
Jingpei Wu (LMU)

Mathematical and Algorithmic Foundations

A Causal View on Dynamical Systems
Cecilia Casolo (TUM)

Modeling Causal Systems with Dynamic Processes
Sarah Lumpp (TUM)

Uncertainty Quantification in Machine Learning
Lisa Wimmer (LMU)

Algorithmic Decision-Making

Refugee Integration through Algorithmic Location Matching
Clara Strasser Ceballos (LMU)


Coordinators of Zuse School of Excellence in Reliable Artificial Intelligence

Munich Data Science Institute

Technische Universität München

Walther-von-Dyck-Straße 10
85748 Garching, Germany

coordinators@zuseschoolrelai.de


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