Malte Luttermann

Malte Luttermann

Researcher at University of Hamburg.

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

books

projects

StickTo

StickTo is an app which helps young people to find their career orientation.

publications

Lifting Factor Graphs with Some Unknown Factors

Published in Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Malte Luttermann, Ralf Möller, Marcel Gehrke. (2023). "Lifting Factor Graphs with Some Unknown Factors." Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-2023). Springer, Volume 14294, pages 337-347. https://link.springer.com/chapter/10.1007/978-3-031-45608-4_25

Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain

Published in German Journal of Artificial Intelligence, 2024

Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller. (2024). "Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain." German Journal of Artificial Intelligence (2024). Springer, Volume 38. https://link.springer.com/article/10.1007/s13218-023-00810-z

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models

Published in Forty-Seventh German Conference on Artificial Intelligence, 2024

Malte Luttermann, Ralf Möller, Mattis Hartwig. (2024). "Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models." Proceedings of the Forty-Seventh German Conference on Artificial Intelligence (KI-2024). Springer, Volume 14992, pages 175-189. https://link.springer.com/chapter/10.1007/978-3-031-70893-0_13

Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs

Published in Sixteenth International Conference on Scalable Uncertainty Management, 2024

Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke. (2024). "Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs." Proceedings of the Sixteenth International Conference on Scalable Uncertainty Management (SUM-2024). Springer, Volume 15350, pages 265-280. https://link.springer.com/chapter/10.1007/978-3-031-76235-2_20

Approximate Lifted Model Construction

Published in Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig. (2025). "Approximate Lifted Model Construction." Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-2025). IJCAI Organization, Volume 34, pages 9077-9085. https://www.ijcai.org/proceedings/2025/1009

Towards Explainability of Approximate Lifted Model Construction: A Geometric Perspective

Published in First Joint Workshop on Humanities-Centered Artificial Intelligence and Formal & Cognitive Reasoning (CHAI-2025 and FCR-2025) co-located with 48th German Conference on Artificial Intelligence (KI-2025), 2025

Jan Speller, Malte Luttermann, Marcel Gehrke, Tanya Braun. (2025). "Towards Explainability of Approximate Lifted Model Construction: A Geometric Perspective." Proceedings of the First Joint Workshop on Humanities-Centered Artificial Intelligence and Formal & Cognitive Reasoning (CHAI-2025 and FCR-2025) co-located with 48th German Conference on Artificial Intelligence (KI-2025). CEUR, pages 41-56. https://ceur-ws.org/Vol-4058/paper4.pdf

StaRAI: From a Probabilistic Propositional Model to a Highly Compressed Probabilistic Relational Model (Extended Abstract)

Published in Eighteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2025

Marcel Gehrke, Malte Luttermann. (2025). "StaRAI: From a Probabilistic Propositional Model to a Highly Compressed Probabilistic Relational Model (Extended Abstract)." Joint Proceedings of the ECSQARU 2025 Workshops and Tutorials (ECSQARU-2025). HAL Open Science, pages 71-74. https://hal.science/hal-05294280v1

talks

teaching

Introduction to Logics

Exercise Lab, University of Lübeck, Winter Term 2018/2019

Exercise lab sessions given as a student assistant.

Algorithm Design

Exercise Lab, University of Lübeck, Winter Term 2019/2020

Exercise lab sessions given as a student assistant.

Introduction to Logics

Exercise Lab, University of Lübeck, Winter Term 2019/2020

Exercise lab sessions given as a student assistant.

Algorithm Design

Exercise Lab, University of Lübeck, Winter Term 2020/2021

Exercise lab sessions given as a student assistant.

Introduction to Logics

Exercise Lab, University of Lübeck, Summer Term 2021

Exercise lab sessions given as a student assistant.

Non-Standard Databases and Data Mining

Exercise Lab, University of Lübeck, Winter Term 2021/2022

Topics (in German Language)

  • Semistrukturierte Datenbanken (XML) und Volltextsuche
  • Information Retrieval
  • Mehrdimensionale Indexstrukturen
  • Cluster-Bildung
  • Einbettungstechniken
  • First-n-, Top-k-, und Skyline-Anfragen
  • Probabilistische Datenbanken, Anfragebeantwortung, Anfragetransformation, Safe-Plan-Anfrage, Top-k-Anfragen (Monte-Carlo-Simulation, Luby-Karp-Verfahren, Multisimulation), Open-World-Annahme
  • Probabilistische Modellierung, Bayes-Netze, Anfragebeantwortungsalgorithmen, Lernverfahren für Modelle
  • Dynamische Bayes-Netze
  • Temporale Datenbanken und das relationale Modell
  • Probabilistische Temporale Datenbanken
  • SQL: neue Entwicklungen (z.B. JSON-Strukturen und Arrays), Zeitreihen (z.B. TimescaleDB)
  • Stromdatenbanken, Prinzipien der Fenster-orientierten inkrementellen Verarbeitung
  • Approximationstechniken für Stromdatenverarbeitung, Stream-Mining
  • Probabilistische raum-zeitliche Datenbanken und Stromdatenverarbeitungssysteme: Anfragen und Indexstrukturen, Raum-zeitliches Data Mining, probabilistische Skylines
  • Von NoSQL- zu NewSQL-Datenbanken, Graphdaten in SQL, CAP, CALM, CRON, Blockchain-Datenmanagement
  • Graphdatenbanken, Anfragesprachen, Anfragebeantwortung, Graph Mining
  • Approximative Anfragebeantwortung in Graphdatenbanken
  • Gelernte Indexstrukturen

Algorithms and Data Structures

Exercise Lab, University of Lübeck, Summer Term 2022

Topics (in German Language)

  • Algorithmen, Entwurfsmuster, Problemkomplexität, Algorithmenanalyse (O-Notation)
  • Sortierung durch Teile und Herrsche, Mergesort, Quicksort, Omega- und Theta-Notation, Heaps als Datenstrukturen, Heapsort
  • Sortierung durch Verteilen, Counting Sort, stabile Sortierverfahren, Radix-Sort, Bucket-Sort, Wiederholung: Listen, Keller, Schlangen
  • Prioritätswarteschlangen, Realisierung mit binären Heaps, Binomial-Heaps und Fibonacci-Heaps, amortisierte Analyse
  • Selektion, k-kleinstes Element
  • Mengen, selbstorganisierende Datenstrukturen, binäre Suchbäume, Splay-Bäume, Rot-Schwarz-Bäume, AVL-Bäume
  • Mengen von Zeichenketten, Tries, PATRICIA Tries
  • Disjunkte Mengen, Union-Find Datenstruktur
  • Assoziation von Objekten, Hash-Tabellen, Dynamisches Hashing (Kollisionslisten, Lineare Sondierung, Quadratische Sondierung, Doppeltes Hashing), Statisches Hashing, Familie universeller Hashfunktionen
  • Graphen, Graphenrepräsentation, Breitensuche, Tiefensuche, Zusammenhangskomponenten, Kürzeste Wege, Single-Source-Shortest-Paths (Dijkstras Algorithmus, A*-Algorithmus, Bellman-Ford-Algorithmus), All-Pairs-Shortest-Paths, Transitive Hülle, Minimaler Spannbaum (Kruskals Algorithmus, Jarnik-Prim-Algorithmus), Netzwerkflüsse (Ford-Fulkerson-Algorithmus, Edmonds-Karp-Algorithmus), Bipartites Matching, Eulerkreis, Eulerweg, Hamilton-Kreis
  • Suchgraphen für Spiele, Minimax-Suche, Suchraumaufbau, Alpha-Beta-Pruning zur Suchraumbeschneidung
  • Dynamische Programmierung, gierige Verfahren, Sequenz-Alignment (Longest-Common-Subsequence, LCS), Rucksackproblem, Planungs- und Anordnungsprobleme, Wechselgeldbestimmung, Vollständigkeit von Algorithmen
  • Zeichenkettenabgleich, Exakte Algorithmen (Knuth-Morris-Pratt, Boyer-Moore, Rabin-Karp, Suffix-Bäume und Felder), Approximativer Zeichenkettenabgleich durch dynamische Programmierung
  • Schwere Probleme, Erfüllbarkeitsproblem 3-SAT, P=NP, Clique-Problem, Problemreduktion, NP-schwere und NP-vollständige Probleme, Algorithmische Entwurfsmuster zur Behandlung NP-schwerer Probleme (DPLL, Nicht-chronologisches Backtracking), Abbildung von Sudoku auf 3-SAT, 2-SAT, Constraint-Satisfaction-Probleme, Reduktion des Backtrackings durch Heuristiken (am Beispiel der Probleme Chromatische Zahl und n-Damen), Constraint-Propagierung

Non-Standard Databases and Data Mining

Exercise Lab, University of Lübeck, Winter Term 2022/2023

Topics (in German Language)

  • Semistrukturierte Datenbanken (XML) und Volltextsuche
  • Information Retrieval
  • Mehrdimensionale Indexstrukturen
  • Cluster-Bildung
  • First-n-, Top-k-, und Skyline-Anfragen
  • Probabilistische Datenbanken, Anfragebeantwortung, Anfragetransformation, Safe-Plan-Anfrage, Top-k-Anfragen (Monte-Carlo-Simulation, Luby-Karp-Verfahren, Multisimulation), Open-World-Annahme
  • Probabilistische Modellierung, Bayes-Netze, Anfragebeantwortungsalgorithmen, Lernverfahren für Modelle
  • Dynamische Bayes-Netze
  • Temporale Datenbanken und das relationale Modell
  • Probabilistische Temporale Datenbanken
  • SQL: neue Entwicklungen (z.B. JSON-Strukturen und Arrays), Zeitreihen (z.B. TimescaleDB)
  • Stromdatenbanken, Prinzipien der Fenster-orientierten inkrementellen Verarbeitung
  • Approximationstechniken für Stromdatenverarbeitung, Stream-Mining
  • Probabilistische raum-zeitliche Datenbanken und Stromdatenverarbeitungssysteme: Anfragen und Indexstrukturen, Raum-zeitliches Data Mining, probabilistische Skylines

Databases

Seminar, University of Hamburg, Winter Term 2025/2026

Topics

  • The entity-relationship (ER) modeling language (PDF)
  • The relational data model (PDF)
  • Relational schema design theory I (PDF)
  • Relational schema design theory II (PDF)
  • Relational schema design theory III (PDF)
  • SQL I (PDF)
  • SQL II (PDF)
  • Database architecture (PDF)
  • Indexing techniques (PDF)
  • Query processing (PDF)
  • Query optimization (PDF)
  • Transactions (PDF)
  • Recovery (PDF)
  • Vector databases (PDF)

Understanding Data vs. Machine Training

Seminar, University of Hamburg, Winter Term 2025/2026

Topics

  • Python programming language
    • Introduction (PDF)
    • Basics (PDF)
    • Advanced (PDF)
  • Markup languages (LaTeX, Markdown)(PDF)
  • Development environments (PDF)
  • Version control (Git) (PDF)
  • Scientific computing (NumPy, SciPy) (PDF)
  • Data processing and visualisation (Pandas, matplotlib, NLTK) (PDF)
  • Machine learning with Python (scikit-learn) (PDF)
  • Presentations by students on developing a job recommendation system for a career orientation platform

Transformer-Based Algorithmics

Seminar, University of Hamburg, Summer Term 2026

Topics

  • Algorithms, summation, design patterns (PDF)
  • Sorting by divide-and-conquer, algorithm analysis, design pattern divide-and-conquer (PDF)
  • Priority queues (PDF)
  • Association of objects (PDF)
  • Graphs part I: Breadth-first search, depth-first search (PDF)
  • Graphs part II: Dijkstra, A* (PDF)
  • Graphs part III: Shortest paths in directed acyclic graphs (PDF)
  • Search graphs for games (PDF)
  • Graph embeddings (PDF)
  • Reasoning with transformers I (PDF)
  • Reasoning with transformers II (PDF)
  • Decision transformers (PDF)
  • Coding agents (PDF)