EDBT 2026 Demo / reviewers in the wild / expert
Matthias Hofer 0002
dblp:00/1036-2
· DBLP profile ↗
18ranked-venue papers
6as first author
7since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 18 · 6 first-author · 7 since 2021Applied, interdisciplinary, general and emerging computing · 17 · 6 first-author · 7 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Decompose, Deduce, and Dispose: A Memory-Limited Metacognitive Model of Human Problem Solving
Samuel J. Cheyette, Tony Chen 0003, Matthias Hofer 0002, Frederick Callaway, Neil Bramley, Josh Tenenbaum |
CogSci | 3 |
| 2025 | Finding structure in logographic writing with library learning II: Grapheme, sound, and meaning systematicity
Guangyuan Jiang, Matthias Hofer 0002, Jiayuan Mao, Lionel Wong, Josh Tenenbaum, Roger Levy |
CogSci | 2 |
| 2025 | Minding the Politeness Gap in Cross-cultural Communication
Yuka Machino, Max H. Siegel, Matthias Hofer 0002, Josh Tenenbaum, Robert D. Hawkins |
CogSci | 3 |
| 2024 | Finding structure in logographic writing with library learning
Guangyuan Jiang, Matthias Hofer 0002, Jiayuan Mao, Lionel Wong, Josh Tenenbaum, Roger Levy |
CogSci | 2 |
| 2023 | Simplicity and Informativeness in the Evolution of Combinatorial Structure
Matthias Hofer 0002, Simon Kirby, Roger Levy |
CogSci | 1 |
| 2022 | The emergence of discrete and systematic communication in a continuous signal-meaning space
Alicia M. Chen, Matthias Hofer 0002, Moshe Poliak, Roger Levy, Noga Zaslavsky |
CogSci | 2 |
| 2021 | Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
Matthias Hofer 0002, Tuan Anh Le 0001, Roger Levy, Josh Tenenbaum |
CogSci | 1 |
| 2020 | Hierarchical Inferences Support Systematicity in the Lexicon
Matthias Hofer 0002, Tessa Verhoef, Roger Levy |
CogSci | 1 |
| 2020 | The Psychology of Human Entropy Intuitions
Lara Bertram, Eric Schulz, Matthias Hofer 0002, Jonathan D. Nelson |
CogSci | 3 |
| 2020 | Linguistic Overhypotheses in Category Learning: Explaining the Label Advantage Effect
Anna A. Ivanova, Matthias Hofer 0002 |
CogSci | 2 |
| 2019 | Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework
Lara Bertram, Eric Schulz, Elif Özel, Matthias Hofer 0002, Laura Martignon, Jonathan D. Nelson |
CogSci | 4 |
| 2019 | Simplicity and Probability in Human Judgment
Tyler Brooke-Wilson, Jonathan S. Rosenfeld, Matthias Hofer 0002, Junyi Chu, Josh Tenenbaum |
CogSci | 3 |
| 2019 | Iconicity and Structure in the Emergence of Combinatoriality
Matthias Hofer 0002, Roger Levy |
CogSci | 1 |
| 2019 | Exploring the space of human exploration using Entropy Mastermind
Eric Schulz, Lara Bertram, Matthias Hofer 0002, Jonathan D. Nelson |
CogSci | 3 |
| 2019 | Social Learning and Decisional Constraints in Uncertain Environments
Marius Vollberg, Matthias Hofer 0002, Mina Cikara |
CogSci | 2 |
| 2018 | Inductive Biases in the Evolution of Combinatorial Structure in Language
Matthias Hofer 0002, Josh Tenenbaum, Roger Levy |
CogSci | 1 |
| 2018 | Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language GamesabstractSimple reference games (Wittgenstein, 1953) are of central theoretical and empirical importance in the study of situated language use.Although language provides rich, compositional truth-conditional semantics to facilitate reference, speakers and listeners may sometimes lack the overall lexical and cognitive resources to guarantee successful reference through these means alone.However, language also has rich associational structures that can serve as a further resource for achieving successful reference.Here we investigate this use of associational information in a setting where only associational information is available: a simplified version of the popular game Codenames.Using optimal experiment design techniques, we compare a range of models varying in the type of associative information deployed and in level of pragmatic sophistication against human behavior.In this setting we find that listeners' behavior reflects direct bigram collocational associations more strongly than word-embedding or semantic knowledge graph-based associations and that there is little evidence for pragmatically sophisticated behavior by either speakers or listeners of the type that might be predicted by recursive-reasoning models such as the Rational Speech Acts theory.These results shed light on the nature of the lexical resources that speakers and listeners can bring to bear in achieving reference through associative meaning alone. Judy Hanwen Shen, Matthias Hofer 0002, Bjarke Felbo, Roger Levy |
CoNLL | 2 |
| 2017 | Modeling Sources of Uncertainty in Spoken Word Learning
Matthias Hofer 0002, Roger Levy |
CogSci | 1 |