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Bayesian hierarchical models can infer interpretable predictions
of leaf area index from heterogeneous datasets.

Stojanovic, O., Siegmann, B., Jarmer, T., Pipa, G. & Leugering, J.,
Frontiers in Environmental Science, 9, 780814., 2022

Estimating LAI from winter wheat using UAV data and CNNs.
Wittstruck, L., Jarmer, T., Trautz, D. & Waske, B.,
IEEE Geoscience and Remote Sensing Letters
, 19, 1-5 (Art no. 2503405), 2022

From photos to sketches – how humans and deep neural networks process objects
across different levels of visual abstraction.

Singer, J. J. D., Seeliger, K., Kietzmann, T. C., & Hebart, M. N., Journal of Vision, 22 (2),
doi:https://doi.org/10.1167/jov.22.2.4, 2022

Systematic approach for remote sensing of historical conflict landscapes
with UAV-based Laserscanning.

Storch, M., Jarmer, T., Adam, M., de Lange, N.,
Sensors, 22(1), 217, 2022

The paradox of the compositionality of natural language: a neural machine translation case study.
Dankers, V. , Bruni E. & Hupkes, D. Proceedings of ACL 2022.

What drives trust of the long-term unemployed in their caseworkers?
Wilde, J., Labour, 00, 1–20. Available from: https://doi.org/10.1111/labr.12218.



A trajectories' guide to the state space-learning missing terms in
bifurcating ecological systems.

Vortmeyer-Kley, Rahel and Nieters, Pascal and Pipa, Gordon
2021, Copernicus Meetings

An ecologically motivated image dataset for deep learning yields better models of human vision.
Mehrer, J., Spoerer, C.J., Jones, E.C., Kriegeskorte, N., & Kietzmann, T.C., Proceedings of the National Academy of Sciences, 118 (8), e2011417118; DOI: 10.1073/pnas.2011417118, 2021

Asymptotic normality for random simplices and convex bodies in high

D. Alonso-Gutiérrez, F. Besau, J. Grote, Z. Kabluchko, M. Reitzner,
C.Thäle, B. Vritsiou, and E. Werner
Proc. Amer. Math. Soc. 149, 355-367, 2021

Castelnuovo-Mumford regularity up to symmetry.
Dinh Van Le, U.  Nagel, Hop D. Nguyen, and T. Römer,
Int. Math. Res. Not. IMRN 2021, no. 14, 11010–11049.

Co-evolution of language and agents in referential games.
Dagan, G., Hupkes, D. & Bruni, E. EACL 2021.

Concept in Action. Representation, Learning, and Application.
Bechberger, L., Kühnberger, K.-U. & Liu, M. (2021) (eds.). Springer 2021

Diverse deep neural networks all predict human IT well, after training and fitting.
Storrs, K. R., Kietzmann, T. C., Walther, A., Mehrer, J., & Kriegeskorte, N.,
Journal of Cognitive Neuroscience, 33 (10), p. 2044–2064, 2021

Expected mean width of the randomized integer convex hull.
Reitzner, M. (jointly with B. Hong Ngoc), Mathematika 67, 257-433 (2021)

Formal ways for measuring relations between concepts in conceptual spaces.
Bechberger, L. & Kühnberger, K.-U. (2021). Expert Systems 38(7), e12348,

Generalizing Psychological Similarity Spaces to Unseen stimuli.
Bechberger, L. & Kühnberger, K.-U. (2021). In Bechberger, Kühnberger, Liu (eds.) (2021):
Concepts in Action. Springer (2021).

Language modelling as a multi-task problem.
Weber, L., Jumelet, J., Bruni, E. & Dieuwke Hupkes. EACL 2021.

Learning a transform base for the multi- to hyperspectral sensor network with K-SVD.
Hänel, T., Jarmer, T. and Aschenbruck, N., Sensors, 21(21), 7296, 2021.

Learning sparse and meaningful representations through embodiment.
Clay, Viviane; König, Peter; Kühnberger, Kai-Uwe; Pipa, Gordon
Neural Networks,134, 23-41, 2021, Pergamon

Mining Communities and Their Descriptions on Attributed Graphs: A Survey
Martin Atzmueller, Stephan Günnemann and Albrecht Zimmermann
Data Mining and Knowledge Discovery, 1-21, 2021

On the condition number of Vandermonde matrices with pairs of nearly-colliding nodes.
S. Kunis and D. Nagel, Numer. Algorithms 87, 473-496, 2021.

Real-time dialogue between experimenters and dreamers during REM sleep.
Konkoly, Karen R and Appel, Kristoffer and Chabani, Emma and Mangiaruga, Anastasia and Gott, Jarrod and Mallett, Remington and Caughran, Bruce and Witkowski, Sarah and Whitmore, Nathan W and Mazurek, Christopher Y and others
Current Biology, 2021, Cell Press

Show Me What You're Looking For: Visualizing Abstracted Transformer Attention for Enhancing Their Local Interpretability on Time Series Data
Leonid Schwenke and Martin Atzmueller
Proc. 34th International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2021

Towards a mathematical model for single molecule structured illumination microscopy.
M. Hockmann, S. Kunis, and R. Kurre, Proc. Appl. Math. Mech., 20: e202000075, 2021.

UAV-based RGB imagery for Hokkaido pumpkin (Cucurbita max.) detection and yield estimation.
Lucas Wittstruck, Insa Kühling, Dieter Trautz, Maik Kohlbrecher and Thomas Jarmer Sensors 21(1), 2021, 118.

“Want to come play with me?” Outlier Subgroup Discovery on Spatio-Temporal Interactions.
Carolina Centeio Jorge, Martin Atzmueller, Behzad M Heravi, Jenny L Gibson, Rosaldo JF Rossetti and Claudio Rebelo de Sa
Expert Systems, 2021, Wiley Online Library

Westdrive X LoopAR: An Open-Access Virtual Reality Project in Unity for Evaluating User Interaction Methods during Takeover Requests
Nezami, Farbod N; Wächter, Maximilian A; Maleki, Nora; Spaniol, Philipp; Kühne, Lea M; Haas, Anke; Pingel, Johannes M; Tiemann, Linus; Nienhaus, Frederik; Keller, Lynn
Sensors,21,5,1879, 2021, Multidisciplinary Digital Publishing Institute



Adaptive blending units: Trainable activation functions for deep neural networks.
Sütfeld, Leon René; Brieger, Flemming; Finger, Holger; Füllhase, Sonja; Pipa, Gordon
Science and Information Conference,37-50, 2020,"Springer, Cham"

All around me are synthetic faces: the Mad World of AI-generated Media.
Whittaker, L., Kietzmann, T.C., Kietzmann, J., & Dabirian, A. , IT Professional, 22, pp. 90-99., 2020

Applying ASP for Knowledge-Based Link Prediction with Explanation Generation in Feature Rich Networks
Cicek Guven, Dietmar Seipel and Martin Atzmueller
IEEE Transactions on Network Science and Engineering, 2020

Codimension and projective dimension up to symmetry.
Dinh Van Le, U.  Nagel, Hop D. Nguyen, and T. Römer.
Math. Nachr. 293 (2020), no. 2, 346–362.

Compositionality decomposed: how do neural networks generalise?
Dankers, V., Mul, M., Hupkes, D. & Bruni, E.  Journal of Artificial Intelligence Research 67:757-795 2020.

Deepfakes: Trick or treat?, Kietzmann, J., Lee, L.W., McCarthy, I.P., & Kietzmann, T.C.,
Business Horizons, 63(2), 135-146., 2020

Gigantic random simplicial complexes.
Jens Grygierek, Martina Juhnke-Kubitzke, Matthias Reitzner, Tim Römer, and Oliver Röndigs. 
Homology Homotopy Appl. 22, 2020, 297–318.

Graph Signal Processing on Complex Networks for Structural Health Monitoring
Stefan Bloemheuvel, Jurgen van den Hoogen and Martin Atzmueller
Proc. International Conference on Complex Networks and Their Applications, 2020, 249--261, Springer

Individual differences among deep neural network models.
Mehrer, J., Spoerer, C. J., Kriegeskorte, N. & Kietzmann, T. C., Nature Communications, 11(1), 5725., 2020

Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency.
Rodriguez Luna, D., Maria Ponti, E., Hupkes, D. & Bruni, E.  EMNLP-findings 2020.

Learning algebraic decompositions using Prony structures.
Stefan Kunis, Tim Römer, and Ulrich von der Ohe.
Adv. in Appl. Math. 118, 2020, Article ID 102044, 43p.

Location Attention for Extrapolation to Longer Sequences.
Dubois, Y., Dagan, G., Hupkes, D. & Bruni, E.,  Proceedings of ACL 2020.

Modelling form-meaning systematicity with linguistic and visual features. 
Soeteman, A., Gutierrez, D., Bruni, E.,& E. Shutova, E.. Proceedings of AAAI 2020.

Multivariate Central Limit Theorems for Random Simplicial Complexes.
G. Akinwande, and M. Reitzner
Adv. Appl. Math. 121, 2020

On the smallest singular value of multivariate Vandermonde matrices with clustered nodes.
S. Kunis and D. Nagel, Linear Algebra Appl. 604, 1-20, 2020.

Predicting epileptic seizures using nonnegative matrix factorization.
Stojanović, Olivera; Kuhlmann, Levin; Pipa, Gordon
PloS one,15,2,e0228025, 2020, "Public Library of Science San Francisco, CA USA"

Project Westdrive: Unity city with self-driving cars and pedestrians for virtual reality studies.
Nezami, Farbod N; Wächter, Maximilian A; Pipa, Gordon; König, Peter
Frontiers in ICT,7,1, 2020, Frontiers

Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision. Spoerer, C.J., Kietzmann, T.C., Mehrer, J., Charest, I. & Kriegeskorte, N., PLoS Computational Biology 16(10): e1008215. doi.org/10.1371/journal.pcbi.1008215, 2020

Statistics of work performed by optical tweezers with general time-variation of their stiffness
P. Chvosta, D. Lips, V. Holubec, A. Ryabov, and P. Maass
J. Phys. A: Math. Theor. 53, 275001 (2020)

The grammar of emergent languages.
Van der Wal, O., de Boer, S., Bruni, E. & Hupkes, D. EMNLP 2020.

What drives trust of long-term unemployed in their caseworkers? An empirical analysis using experimental data;
Wilde, J.,Working Paper 118, Institute of Empirical Economic Research, Universität Osnabrück (2020)

Why Should I Trust This Item? Explaining the Recommendations of any Model
Corentin Lonjarret, Celine Robardet, Marc Plantevit, Roch Auburtin and Martin Atzmueller
Proc. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020, 526--535, IEEE