Doctoral Colloquium
Section outline
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The Cognitive Systems group holds a regularly doctoral colloquium. There, our internal and external doctoral students present and discuss the current status of their work. Occasionally, we invite external lecturers. We welcome interested students and colleagues (exceptions are marked with 'internal' in the schedule).
When? Wednesdays, 16:00 s.t. - 17:30
Where? KogSys-Lab (WE5/05.013)-
Hybrid Colloquium
CogSys Lab: WE5/05.013
Every Wednesday: 16:00-17:30 Uhr
(Every first Wednesday of the Month during the semester is the BaCAI Colloquium!)Information to participate via Teams:
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Meeting ID: 395 905 962 780
Passcode: VKQADBFor meetings outside our regular schedule (Wednesdays 16:00-17:30) we will have one time Teams meeting links which can be found in the news feed.
Schedule WS 2024/2025 - Hybrid Colloquium
Date Speaker(s) Topic 02.10.24 - 16:15 multiple BaCAI Colloquium 09.10.24 - 16:00 --- Open Session 16.10.24 - 16:00--- Cancelled due to the CogSys DC-Days happening on the following days 23.10.24 - 16:00 --- Open Session 30.10.24 - 16:00 --- Open Session 06.11.24 - 16:15 multiple BaCAI Colloquium 13.11.24 - 16:00 --- Open Session 20.11.24 - 16:00 --- Open Session 27.11.24 - 16:00 --- Open Session 04.12.24 - 17:00 multiple BaCAI Colloquium 11.12.24 - 16:00 Corbinian Weithmann Erklärbare Fehlerklassifikation in der bildbasierten industriellen Qualitätskontrolle 18.12.24 - 16:00 --- Open Session 25.12.24 - 16:00 --- Holidays 01.12.25 - 16:00 --- Holidays 08.01.25 - 17:15 multiple BaCAI Colloquium 15.01.25 - 16:00 --- Open Session 22.01.25 - 16:00 Tobias Nietsch Inductive Logic Programming for Single-cell Analysis 29.01.25 - 16:00 --- Open Session 05.02.25 - 16:15 multiple BaCAI Colloquium 12.02.25 - 16:00 --- Open Session 19.02.25 - 16:00 --- Open Session 26.02.25 - 16:00 --- Open Session 05.03.25 - 16:00 --- Open Session 12.03.25 - 16:00 --- Open Session 19.03.25 - 16:00 --- Open Session 24.03.25 - 10:00 Normix Hillemann NLP Techniques for Summarizing and Topic Matching in Patient-Chatbot Interactions: A Comparative Study 26.03.25 - 16:00 --- Open Session Schedule SS 2024 - Hybrid Colloquium
Date Speaker(s) Topic 03.04.24 - 16:00 --- Open Session 10.04.24 - 16:00 --- cancelled 11.04.24 - 17:00 David Cerna Anti-unification: Introduction, Applications, and Recent Results 15.04.24 - 12:00 Daniel Gramelt ThesisExplanatory interactive machine learning for welding seam quality assessment 17.04.24 - 16:00 --- Open Session 24.04.24 - 16:00 --- Open Session 01.05.24 - 16:00 --- Holidays 08.05.24 - 16:00 --- Open Session 15.05.24 - 16:00 --- Open Session - ONLY REMOTE 22.05.24 - 17:00 Thomas Schultze-Gerlach Using Large Language Models to Augment (Rather Than Replace) Human Feedback in Higher Education Improves Perceived Feedback Quality 29.05.24 - 16:00 Lukas Gernlein Towards Explainable and Interactive Machine Learning for Multi-Label Classification 05.06.24 - 16:00 --- Open Session - ONLY REMOTE 12.06.24 - 16:00 --- Open Session - ONLY REMOTE 19.06.24 - 16:00 Annabel Lindner (FAU) How to Deal with Transformative Topics in Computer Science Education: An Analysis Based on the Topic of Artificial Intelligence 26.06.24 - 16:00 --- Open Session 03.07.24 - 16:00 --- Open Session 10.07.24 - 15:00 Corbinian Weithmann tba 10.07.24 - 16:00 Leonhard Kestel Tree Vitality Classification from Image Data - A Comparison of Multipectral Index Scores and Deep Learning Approaches 14.07.24 - 14:00 Christian Dormagen Inductive Learning of System-level Process Behaviour Explanations - A Hybrid Machine Learning Approach for Process Mining 17.07.24 - 17:00 --- Open Session 22.07.24 - 10:00 Barbara Blank Utilizing NLP Methods in an Intelligent Tutor System for Teaching Concepts by Socratic Dialog – Learning about Trees in Primary Education 24.07.24 - 16:00 --- Open Session 31.07.24 - 16:00 --- Open Session 07.08.24 - 16:00 --- Open Session 14.08.24 - 16:00 --- Open Session 21.08.24 - 16:00 --- Open Session 26.08.24 - 14:00 Johannes Langer A Neuro-symbolic Single-path Approach for Solving Raven’s Progressive Matrices 28.08.24 - 16:00 --- Open Session 04.09.24 - 16:00 --- Open Session 11.09.24 - 16:00 --- Open Session 16.09.24 - 11:00 Satyam Pant Model Revision for Images Based on Near-Misses and Near-Hits Explanation-Guided Augmentation 18.09.24 - 16:00 --- Open Session 25.09.24 - 16:00 --- Open Session 26.09.24 - 14:00 Leonhard Kestel Tree-Vitality Classification from Image Data - A Comparison of Multispectral Indices and Deep Learning Approaches Schedule WS 2023/2024 - Hybrid Colloquium
Date Speaker(s) Topic 9.10.2023 Richard Nieding Unsupervised Machine Learning via Feature Extraction and Clustering to Classify Tree Species from High-Resolution UAV-based RGB Image Data 18.10.2023 Judith & Leo Bericht über die European Summer School on Artificial Intelligence 25.10.2023 Open Session 1.11.2023 Open Session 8.11.2023 Open Session 15.11.2023 Open Session 22.11.2023 CANCELLED 29.11.2023 14:00 s.t. Oraz Serdarov Verteidigung MA: Explainable Unsupervised Learning for Fraud Detection (in coop with HUK Coburg) 29.11.2023 Martin Schmeißer MA Verteidigung: Evaluating methods for transcompiling high-level programming languages (MA AI, in cooperation with Siemens) 4.12.2023 15:30 Adrian Völker OS4ITS: A Distributed Shell-based Platform for Integrated Knowledge- and Learner-Modeling and Curriculum Management Across Different Tutoring Systems 6.12.2023 Open Session 13.12.2023 Open Session 20.12.2023 12:00 s.t. Shamim Miroliaei Verteidigung: Exploring Potential Biases in Sequential Data Classification for Hand Gesture Recognition using Layer-wise Relevance Propagation and Cluster Analysis 20.12.2023 Open Session 21.12.2023 13:00 s.t. Jonas Amling Explainable AI for Mixed Data Clustering -- Model-Agnostic Entropy-Based Cluster Explanations
--- Weihnachten 10.1.2024 Open Session 17.1.2024 16:00-17:30 Alexander Köbler Human-Centered AI Using Domain Knowledge
24.1.2024 Open Session 31.1.2024 Open Session 7.2.2024 Open Session 14.2.2024 Open Session 21.2.2024 Open Session 28.2.2024 Open Session 6.3.2024 Open Session 13.3.2024 Open Session 20.3.2024 Open Session 27.3.2024 Open Session Schedule SS 2023 - Hybrid Colloquium
Date Speaker(s) Topic 13.4.23 Franz Motzkus How to Doktor*innenarbeit 20.4.23 Bettina Finzel Write Reviews: A How To 10.5.23 Bettina Finzel Pixy - ein Tool für Reasoning auf Graphen (im Speziellen Neo4j) 24.5.23 Bettina Finzel Concept- and Relation-based Explanations 15.6.2023 Adish Singla Fakultäts Kolloquium: AI-Driven Educational Technology for Introductory Programming Monday
3.7.2023
14:00-15:00Christoffer Löffler tba Tuesday
4.7.2023
14:00-15:30Martin Schmeißer tba
19.7.2023 Prof. Dr. CC Carbon Verschwörungstheorien und -mythen: Was, woher, warum - was machen sie mit uns und wie gehen wir mit ihnen um, und das in Zeiten von DeepL, ChatGPT, DALL-e und Kolleg*innen? 23.8.2023 Zeynep Saribatur (TU Wien) Foundations for Projecting Away the Irrelevant in ASP Program
Monday 28.8.2023 11:00 Alexander Hatzold, Master Angewandte Informatik Semantic and Syntactic Analogical Reasoning in Large Language Models (LLMs): Effects of Different Types of Prompting on the Performance of ChatGPT 13.9.2023 Simon Schramm (BMW) ILP for explainable graph clustering 19.9.2023 Felix Hempel Explanatory and Interactive Machine Learning with Counterfactual Explanations for Ordinal Data Schedule WS 2022/23 - Virtual Colloquium
Date Topic 05.10.2022 (10:00) Louisa Heidrich: Combining Explanatory Interactive Learning and Fair Machine Learning – Interacting with Explanations to Uncover and Reduce Human and Machine Biases 25.10.2022 (14:00) Amit Singh: Does Contrastive Attention Guidance Facilitate Action Recall? An Eye- tracking
Study10.11.2022
(12:15)Zeynep Saribatur: Towards Comprehensible ASP Reasoning by Means of Abstraction 14.11.2022 (16:00) David Tafler: The Object-Centric Concept Learner - An Interpretable Framework for Learning Relational Visual Concepts 20.12.2022 Thomas Sedlmeir: Betrugserkennung in Dokumenten: Untersuchung von Methoden des Maschinellen Lernens für die Identifikation manipulierter Zeichen 19.1.2023 Stefan Raab: Active Learning for interactive labeling of RGB UAV forest data
Johannes Rabold & Johannes Langer: A Brief Overview of Transformer Models and their Architecture (PDF zum Vortrag)26.1.2023 Open Session 2.2.2023 (tba) Maximilian Rosilius: Fehlerauswirkungen in der Mensch-Maschine-Interaktion auf die menschliche Leistung und Akzeptanz 16.2.2023 (18:00-19:00) Franz Motzkus: Quantifizierung von lokalen Heatmapping xAI Methoden 02.3.2023 Christoph Wehner: Docker Einführung 09.3.2023 Mareike Müller: Masterarbeit Verteidigung zum Thema "Dynamic Fingerspelling Recognition Using Sequential Deep Learning" Schedule ST 2022 - Virtual Colloquium
Date Topic 13.04.2022 (17:00) Mareike Müller: Automatic Sign Language Recognition 12.05.2022 Matthias Uhl: People Prefer Moral Discretion to Algorithms 23.06.2022 Alexander Becker: Certified Data Removal in Sum Product Networks 05.07.2022 Felix Schweinfest: Comparing the Performance of Memory Augmented Neural Networks in Reinforcement Learning Schedule WS 2021/22 - Virtual Colloquium
Date Topic/Doctoral Candidate 07.10.2021 Simon Kuhn: Verifying Convolutional Neural Networks: A Landmark-based Approach for Quantitative Evaluation of Facial Action Unit Classification 29.10.2021 Christoph Wehner: Master's Defense with the topic: "Interpretable Lane Change Prediction" 25.11.2021 Oliver Mey: Prediction of Energy Consumption for Variable Customer Portfolios Including Aleatoric Uncertainty Estimation 02.12.2021 Sarem Seitz: Gaussian Processes come with (almost) free explainability 07.12.2021 (17:00!!) Pascal Hitzler: Concept Induction for Explainable AI 13.01.2022 - An Explanatory Interactive Machine Learning Approach for Image Classication in Medical Engineering. (Bachelor Thesis, Yannik Ott)
- Recent Advances in the hKI-Chemie Project: An Incremental Attribution Method for Gaussian Processes. (hKI-Chemie, Emanuel Slany)
16.02.2022 (17:00!!) Talk Aliya Hammad: Optimizing Hierarchical Classification for Resource-Constrained Systems Using Reinforcement Learning Methods.
24.03.2022 Talk Christoph Wehner: Root-Cause Detection in the Wild - The first steps of the project "KIProQua"
Schedule ST 2021 - Virtual Colloquium
Date Topic/Doctoral Candidate 15.04.2021 Bettina Finzel: Interactive Machine Learning 29.04.2021 Jan Tinapp: Debugging Causal Models. Later: Johannes Rabold: Discussion Research Proposition (Humanly plausible feature vector clustering) 06.05.2021 Lisa Lengenfelder: Are Relations Relevant in CNNs? 20.05.2021 Talk 2: Deepika Arneja: TraMeExCo Internship Presentation (Join via Teams here) 20.05.2021 Talk 1: Joscha Eirich, Jakob Bonart: ”The interactive clustering and labeling of acoustic signature patterns of electrical engines (We use the same Teams link as one row above!) 27.05.2021 Oliver Mey: Self-Masking Adversarial Networks 10.06.2021 Dennis Müller: Mathematical Knowledge Management Across Formal Libraries 24.06.2021 Wolfgang Kratsch (Credium): Fusion von unterschiedlichen Datenquellen für semi-automatisiertes Labelling und Closed-Loop Machine Learning Cycle 01.07.2021 Alexander Schneider: How to Train a NER Model from Annotation to Model 05.07.2021 Ploy Schneider: Counterfactuals as an Approach to Test Fairness in Machine Learning -- And Why Fairness in Machine Learning Affects Everyone 15.07.2021 Christian Wirth: Scalable Probabilistic Deep Learning: An Engineers Guide to the State of the Art 23.09.2021 Maximilian Muschalik: Beyond Contrastive Explanations for Deep Learning Models in Physical Relational Domains Schedule WT 2020/21 - Virtual Colloquium
Date Topic/Doctoral Candidate 01.10.2020 & 08.10.2020 KI2020 Recap 15.10.2020 AI Safety, Gesina Schwalbe 29.10.2020 Mena Leemhuis: Cones, Negations and all that 5.11.2020 (will start at 17:15 this time only!) Durgesh Nandini: Answer Set Programming 12.11.2020 Deep Transfer Learning for Time Series Regression in Chemical Production, Namrata Jain (Master Thesis at Wacker AG, Intermediate Presentation) 19.11.2020 Deniz Neufeld: Recurrent Neural Network Architecture based on Dynamic Systems Theory for Data Driven Modelling of Complex Physical Systems 26.11.2020 Sarem Seitz: Bayesian mixtures of interpretable experts 10.12.2020 Bettina Finzel: Sustainability in Machine Learning: From Nomads to Data Centers and Back. 14.12.2020 Regina Siegers (Master Survey Statistics, Uni Bamberg): Vectors and the Search for Happiness. 21.01.2021 Tobias Huber (Uni Augsburg): "Benchmarking Perturbation-based Saliency Maps for Explaining Deep Reinforcement Learning Agents" and "Do Deep Neural Networks Forget Facial Action Units? - Exploring the Effects ofTransfer Learning in Health Related Facial Expression Recognition" 11.03.2021 mgm: AI assisted labelling tool 18.03.2021 Lennart Thamm: Intermediate Presentation of thesis results (delayed and will start at 17:00) 25.03.2021 Gesina Schwalbe: Concept Analysis for Verification - slides 15.04.2021 Bettina Finzel: Interactive Machine Learning: Approaches and Examples
(this time only click here to join the Teams meeting)Schedule ST 2020 - Virtual Colloquium
Date Topic/Doctoral Candidate 09.07.2020 Joscha Eirich 23.07.2020 Gesina Schwalbe and Johannes Rabold 17.09.2020 Kick-Off in Preparation of Winter Term -
Schedule WT 2019/20
Date Topic/Doctoral Candidate 2020-01-30 Sarem Seitz:
"End-to-end prototype-based reinforcement learning"2020-02-13 Tobias Hepp:
"Latent Class Distributional Regression"2020-03-19 Regina Siegers:
"Parallelized Causal Inference with Latent Variables" -
Schedule ST 2019 Date Topic / Doctoral Candidate 2019-04-18 Gast: Thomas Voit, TH Nürnberg, Lernen über Spiele/Ähnlichkeit von Spielen 2019-04-25 2019-05-02 internal meeting 2019-05-09 no meeting 2019-05-16 no meeting 2019-05-23 Thoughts on automatic constraint generation from examples (Michael Siebers) 2019-05-30 public holiday 2019-06-06 14-15 Malte Büttner -- Iterative visual reasoning beyond convolutions 2019-06-13 Reserved - topic will be announced 2019-06-20 public holiday 2019-06-27 no meeting 2019-07-04 Towards the Inference of Shape Predicates from Memory Graphs (Jan Boockmann) 2019-07-11 Making Reinforcement Learning agents efficient for learning and acting in the real-world (Sarem Seitz)(17:15) 2019-07-18 no meeting 2019-07-25 Pepper (Sebastian Seufert, Ferdinand Lang) 2019-08-01 no meeting 2019-08-08 public holiday 2019-08-15 public holiday 2019-08-22 no meeting 2019-08-29 Der Einfluss von Erklärungen auf Vertrauen in Dare2Del - Studienvorstellung (Clemens Bartnik) 2019-09-05 2019-09-12 external talk (Tim Grelka) 13-14 Uhr! 2019-09-19 no meeting 2019-09-24, 9:15-11:00
(Tuesday)Optimizing alert timings (external talk, Thilip) 2019-09-26 no meeting -
Schedule WT 2018/19 Date Topic / Doctoral Candidate 2018-11-22, 14:00-15:00 Mark Gromowski internal 2018-11-29 Explanation Generation Frameworks 2018-12-06 Bayesian Deep Learning (Johannes Rabold) 2018-12-13 ibindo – ein Chatbot gegen Liebeskummer (external talk) [abstract] 2018-12-20 Gesina Schwalbe, Absicherung von DNNs im autonomen Fahren;
afterwards Christmas party2019-01-10 cancelled! 2019-01-17 2019-01-24 no meeting 2019-01-31 Hannah Deininger, Masterarbeit zur expliziten Erklärungsfindung für komplexe Neuronale Netze 2019-02-07 cancelled! 2019-02-14, 17:00-18:00 Bettina Finzel, Constraint-based Explanations in Aleph 2019-02-20 Mark Gromowski, Projektupdate PainFaceReader (Schwerpunkt Datenrepräsentation) 2019-02-28 no meeting 2019-03-07 ECDA 2019 - Testvorträge / Fragen 2019-03-14 Gast: Martin Hillebrand (Vodafone) 2019-03-21 Abschlussbericht Praktikant Sebastian Gary 2019-03-28 no meeting
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