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Tentative Schedule

Monday (Sept. 19)

09:00 - 12:00

Workshops

12:00 - 13:30

Lunch Break

13:30 - 16:30

Workshops

Tuesday (Sept. 20)

09:00 - 12:00

Workshops

12:00 - 13:30

Lunch Break

13:30 - 16:30

Workshops

Wednesday (Sept. 21)

09:00 - 09:30

Opening & Greeting

09:30 - 10:30

Keynote Sven Körner - The First Rule of AI: Hard Things are Easy, Easy Things are Hard
Chair: Dietmar Seipel
YouTube Live Stream

10:30 - 10:45

Break

10:45 - 12:15

Paper Session 1
Session Chair: Mirjam Minor

10:45 - 11:00

Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency (Technical Communications; 10 min. presentation + 5 min. Q&A)
Eduardo Brito, Vishwani Gupta, Eric Hahn and Sven Giesselbach

11:00 - 11:15

Enabling Supervised Machine Learning Through Data Pooling: A Case Study with Small and Medium-Sized Enterprises in the Service Industry (Technical Communications; 10 min. presentation + 5 min. Q&A)
Leonhard Czarnetzki, Fabian Kainz, Fabian Lächler, Catherine Laflamme and Daniel Bachlechner

11:15 - 11:30

Leveraging implicit gaze-based user feedback for interactive machine learning (Technical Communications; 10 min. presentation + 5 min. Q&A)
Omair Shahzad Bhatti, Michael Barz and Daniel Sonntag

11:30 - 11:45

Break

11:45 - 12:00

Deep Neural Networks for Geometric Shape Deformation (Technical Communications; 10 min. presentation + 5 min. Q&A)
Aida Farahani, Julien Vitay and Fred Hamker

12:00 - 12:15

An Implementation of Nonmonotonic Reasoning with System W (Technical Communications; 10 min. presentation + 5 min. Q&A)
Christoph Beierle, Jonas Philipp Haldimann, Daniel Kollar, Kai Sauerwald and Leon Schwarzer

12:15 - 13:30

Lunch Break

13:30 - 14:50

Keynote Ahmad-Reza Sadeghi - Federated Learning: Promises, Opportunities and Security Challenges
Chair: Jörn Müller-Quade
YouTube Live Stream

14:50 - 15:00

Break

15:00 - 16:30

Panel Plattform Lernende Systeme: Privacy and Data Use for AI in mobility and health: Areas of tension or innovation fields?
Moderator: Dr. Detlef Houdeau
Panelists: Prof. Dr. Björn Eskofier, Marian Gläser, Prof. Dr. Ahmad-Reza Sadeghi, Prof. Dr. Michael Huth
YouTube Live Stream

17:00 - 18:30Virtual City Tour

Thursday (Sept. 22)

09:00 - 10:15

Keynote Bruce Edmonds - Prospects for Using Context to Integrate Reasoning and Learning
Chair: Ingo Timm
YouTube Live Stream

10:15 - 10:30

Break

10:30 - 12:00

Paper Session 2
Session Chair: Kerstin Bach

10:30 - 11:00

Communicating Safety of Planned Paths via Optimally-Simple Explanations (Full Paper; 20 min. presentation + 10 min. Q&A)
Noel Brindise and Cedric Langbort

11:00 - 11:30

PEBAM: A Profile-based Evaluation Method for Bias Assessment on Mixed Datasets (Full Paper; 20 min. presentation + 10 min. Q&A)
Mieke Wilms, Giovanni Sileno and Hinda Haned

11:30 - 12:00

Health And Habit: an Agent-based Approach (Full Paper; 20 min. presentation + 10 min. Q&A)
Veronika Kurchyna, Stephanie Rodermund, Jan Ole Berndt, Heike Spaderna and Ingo Timm

12:00 - 13:30

Lunch Break

13:30 - 14:30

Workshop Wrap-Up
Chair: Dorothea Koert

14:30 - 15:30

Keynote Manuela Veloso - AI in Robotics and AI in Finance: Challenges, Contributions, and Discussion
Chair: Ralph Bergmann

15:30 - 15:45

Break

15:45 - 17:15

Paper Session 3: Best Paper Candidates
Session Chair: Jürgen Sauer

15:45 - 16:15

Automated Kantian Ethics: A Faithful Implementation (Full Paper & Best Paper Candidate; 20 min. presentation + 10 min. Q&A)
Lavanya Singh

16:15 - 16:45

HanKA: Enriched Knowledge Used by an Adaptive Cooking Assistant (Full Paper & Best Paper Candidate; 20 min. presentation + 10 min. Q&A)
Nils Neumann and Sven Wachsmuth

16:45 - 17:15

The Randomness of Input Data Spaces is an A Priori Predictor for Generalization (Full Paper & Best Paper Candidate; 20 min. presentation + 10 min. Q&A)
Martin Briesch, Dominik Sobania and Franz Rothlauf

17:15 - 17:30

Announcement of Winner of the Best Paper Awards

17:30 - 19:00

FBKI-General Assembly - Community Meeting

19:00 - open endWine Tasting

 

Friday (Sept. 23)

09:00 - 10:15

Keynote Eyke Hüllermeier - Representation and Quantification of Uncertainty in Machine Learning
Chair: Dorothea Koert
YouTube Live Stream

10:15 - 10:30

Break

10:30 - 12:00

Paper Session 4
Session Chair: Ditty Mathew

10:30 - 11:00

NeuralPDE: Modelling Dynamical Systems from Data (Full Paper; 20 min. presentation + 10 min. Q&A)
Andrzej Dulny, Andreas Hotho and Anna Krause

11:00 - 11:30

Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling (Full Paper; 20 min. presentation + 10 min. Q&A)
Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm and Christian Beecks

11:30 - 12:00

Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning (Full Paper; 20 min. presentation + 10 min. Q&A)
Christian Löwens, Muhammad Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner and Lars Schmidt-Thieme

12:00 - 13:30

Lunch Break

13:30 - 14:30

Paper Session 5
Session Chair: Stephanie Rodermund

13:30 - 14:00

Unsupervised Alignment of Distributional Word Embeddings (Full Paper; 20 min. presentation + 10 min. Q&A)
Aissatou Diallo and Johannes Fürnkranz

14:00 - 14:30

Knowledge Graph Embeddings with Ontologies: Reification for Representing Arbitrary Relations (Full Paper; 20 min. presentation + 10 min. Q&A)
Mena Leemhuis, Özgür Lütfü Özcep and Diedrich Wolter

14:30 - 14:45

Break

14:45 - 15:30

Paper Session 6
Session Chair: Lukas Malburg

14:45 - 15:15

Optimal Fixed-Premise Repairs of EL TBoxes (Full Paper; 20 min. presentation + 10 min. Q&A)
Francesco Kriegel

15:15 - 15:30

Learning the Markov Order of Paths in Graphs (Resubmission; 10 min. presentation + 5 min. Q&A)
Luka Petrović and Ingo Scholtes

15:30

Closing

You can find a detailed Workshop schedule at:
https://ki2022.gi.de/schedule/workshop-schedule

You can find a detailed Doctoral Consortium schedule at:
https://ki2022.gi.de/schedule/doctoral-consortium-schedule