Research

Context

Determining whether two stimuli should evoke the same (stable) response or lead to a transition requires inferring how stimulus properties generalize relative to the context. Here, we focus on how the context in which an item is embedded helps or hinders its processing. Successful context processing makes us skilled in scene and object perception, while overgeneralization leads to disorders like phobias.

New project-related publications
Aizenman, A. M., Gegenfurtner, K. R., & Goettker, A. (2024).
Oculomotor routines for perceptual judgments.
Journal of Vision, 24(5), 3-3.
Aubret, A., Ernst, M.R., Teulière, C., & Triesch, J. (2023).
Time to Augment Contrastive Learning.
IEEE Int. Conf. on Learning Representations (ICLR).
Aubret, A., Teulière, C., & Triesch, J. (2022).
Toddler-inspired embodied vision for learning object representations.
IEEE Int. Conf. on Development and Learning (ICDL).
Aubret, A., Teulière, C., & Triesch, J. (2024) (2024).
Self-supervised visual learning from interactions with objects.
European Conference on Computer Vision, 54-71.
DOI
Aubuchon, C., Emily, A., Domini, F., Muryy, A., & Fleming, R. W. (2025).
Perceived 3D shape of mirror-like objects: interactions of monocular and binocular cues.
Journal of Vision, 25(9), 2483-2483.
Aubuchon, C., Vergne, R., Cholewiak, S. A., Kunsberg, B., Holtmann-Rice, D., Zucker, S., & Fleming, R. (2024).
(2024). Orientation fields predict perception of 3D shape from shading.
DOI
Bahmani, S., Hahn, O., Zamfir, E., Araslanov, N., Cremers, D., & Roth, S. (2022).
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. Transactions on Machine Learning Research (TMLR).
DOI
Baltaretu, B. R., Schuetz, I., Võ, M. L. H., & Fiehler, K. (2024).
Scene semantics affects allocentric spatial coding for action in naturalistic (virtual) environments.
Scientific Reports, 14(1), 15549.
DOI
Baykan, C., & Schütz, A. C. (2025).
Electroencephalographic Responses to the Number of Objects in Partially Occluded and Uncovered Scenes.
Journal of cognitive neuroscience, 37(1), 227-238.
DOI
Baykan, C., & Schütz, A. C. (2025).
Eye movements do not preferentially test inferences in the blind spot.
Scientific Reports, 15, 43589.
DOI
Baykan, C., Mamassian, P., & Schütz, A. C. (2025).
Confidence in auditory perceptual completion.
Neuroscience of Consciousness, 2025(1), niaf018.
DOI
Baykan, C., Mamassian, P., & Schütz, A. C. (2026).
Low confidence for perceptual completion of partially occluded objects.
Journal of Vision, 26(1), 4, 1–14.
DOI
Beitner, J., Helbing, J., David, E. J., & Võ, M. L. H. (2024).
Using a flashlight-contingent window paradigm to investigate visual search and object memory in virtual reality and on computer screens.
Scientific Reports, 14(1), 8596.
DOI
Bellagente, M., Brack, M., Teufel, H., Friedrich, F., Deiseroth, B., Eichenberg, C., Kersting, K., ... & Weinbach, S. (2024).
Multifusion: Fusing pre-trained models for multi-lingual, multi-modal image generation.
Advances in Neural Information Processing Systems, 36.
DOI
Bittermann, A., Petrule, C., Ritter, V., Haberkamp, A., Hofmann, S. G., & Rief, W. (2025).
Research on translational psychological treatment: A comprehensive bibliometric analysis.
Clinical Psychology: Science and Practice.
Borovska, P., & de Haas, B. (2024).
Individual gaze shapes diverging neural representations.
Proceedings of the National Academy of Sciences, 121(36), e2405602121.
DOI
Borovska, P., de Haas, B. (2022).
Extrafoveal faces modulate the dynamics of scene viewing.
PsyArXiv Preprints
DOI
Brack, M., Friedrich, F., Hintersdorf, D., Struppek, L., Schramowski, P., & Kersting, K. (2024).
SEGA: Instructing text-to-image models using semantic guidance.
Advances in Neural Information Processing Systems, 36.
DOI
Brack, M., Katakol, S., Friedrich, F., Schramowski, P., Ravi, H., Kersting, K., & Kale, A. (2025).
How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions.
arXiv preprint, 2506.16679.
DOI
Brack, M., Schramowski, P., Deiseroth, B., & Kersting, K. (2023).
Illume: Rationalizing vision-language models through human interactions.
DOI
Brand, T. K., Schütz, A. C., Müller, H., Maurer, H., Hegele, M., & Maurer, L. K. (2024).
Sensorimotor prediction is used to direct gaze toward task-relevant locations in a goal-directed throwing task.
Journal of Neurophysiology, 132(2), 485-500.
DOI
Brand, T. K., Schütz, A. C., Müller, H., Maurer, H., Hegele, M., & Maurer, L. K. (2025).
Predicted task success and outcome history mediate eye movements toward locations with high informational or motivational value.
Journal of Neurophysiology, 134(2), 568-579.
DOI
Broda, M. D., & de Haas, B. (2022).
Individual differences in looking at persons in scenes.
Journal of Vision, 22(12), 9-9.
DOI
Broda, M. D., & de Haas, B. (2022).
Individual fixation tendencies in person viewing generalize from images to videos.
i-Perception, 13(6), 20416695221128844.
DOI
Broda, M. D., & de Haas, B. (2024).
Individual differences in human gaze behavior generalize from faces to objects.
roceedings of the National Academy of Sciences, 121(12), e2322149121.
DOI
Broda, M. D., Borovska, P., & de Haas, B. (2024).
Individual differences in face salience and rapid face saccades.
DOI
Broda, M. D., Borovska, P., & de Haas, B. (2024).
Individual differences in face salience and rapid face saccades.
Journal of Vision, 24(6), 16-16.
DOI
Broda, M. D., Borovska, P., Kollenda, D., Linka, M., de Haas, N., de Haas, S., & de Haas, B. (2024).
Estimating the memory bottleneck for contact tracing.
DOI
Broda, M. D., Borovska, P., Kollenda, D., Linka, M., de Haas, N., de Haas, S., & de Haas, B. (2024).
Estimating the human bottleneck for contact tracing.
PNAS nexus, 3(7).
DOI
Broda, M. D., Haddad, T., & de Haas, B. (2023).
Quick, eyes! Isolated upper face regions but not artificial features elicit rapid saccades.
Journal of Vision, 23(2), 5-5.
DOI
Busch, F. P., Kamath, R., Mitchell, R., Stammer, W., Kersting, K., & Mundt, M. (2024).
Where is the truth? the risk of getting confounded in a continual world.
arXiv preprint arXiv: 2402.06434.
DOI DOI
Carter, A. A., & Kaiser, D. (2024).
An object numbering task reveals an underestimation of complexity for typically structured scenes.
Psychonomic Bulletin & Review, 1-10.
DOI
Cavdan, M., Kapucu, A., Doerschner, K., & Drewing, K. (2024).
Happiness promotes global processing in haptic perception.
bioRxiv, 2024-07.
Cheeseman, J. R., Ferwerda, J. A., Morimoto, T., & Fleming, R. W. (2025).
Gloss discrimination: Toward an image-based perceptual model.
Journal of Vision, 25(10), 6.
DOI
Cheeseman, J. R., Fleming, R. W., & Schmidt, F. (2022).
Scale ambiguities in material recognition.
iScience, 25(3):103970.
DOI
David, E., & Vo, M. L. H. (2024).
SPHEER: a rich dataset of time-resolved gaze and head movements in virtual reality.
Journal of Vision, 24(10), 906-906.
David, E., Gutiérrez, J., Võ, M. L. H., Coutrot, A., Da Silva, M. P., & Le Callet, P. (2024).
The Salient360! toolbox: Handling gaze data in 3D made easy.
Computers & Graphics, 103890.
DOI
Davidson, C., Shing, Y. L., McKay, C., Rafetseder, E., & Wijeakumar, S. (2023).
The first year in formal schooling improves working memory and academic abilities.
Developmental Cognitive Neuroscience, 60, 101205.
DOI
Davidson, Ch., Shing, Y. L., McKay, C. Rafetseder, E., & Wijeakumar, S. (2023).
The first year in formal schooling improves working memory and academic abilities.
Developmental Cognitive Neuroscience, 60, 101205.
DOI
Dehn, K. I., Maiello, G., Hartmann, F. T., Morgenstern, Y., Hawkins, S. J., Offner, T., ... & Fleming, R. W. (2025).
Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli.
Journal of the Royal Society Interface, 22(226), 20240931.
DOI
Deiseroth, B., Brack, M., Schramowski, P., Kersting, K., & Weinbach, S. (2024).
T-FREE: Subword tokenizer-free generative LLMs via sparse representations for memory-efficient embeddings.
arXiv preprint arXiv: 2406.19223.
DOI DOI DOI
Deiseroth, B., Deb, M., Weinbach, S., Brack, M., Schramowski, P., & Kersting, K. (2024).
Atman: Understanding transformer predictions through memory efficient attention manipulation.
Advances in Neural Information Processing Systems, 36.
Delfosse, Q., Blüml, J., Tatai, F., Vincent, T., Gregori, B., Dillies, E., ... & Kersting, K. (2025).
Deep Reinforcement Learning Agents are not even close to Human Intelligence.
arXiv preprint arXiv:2505.21731.
Eckert, A. L., Pawlowski, J., Rief, W., Endres, D., & Kirchner, L. (2023).
Simulating Active Inference of Interpersonal Context Within and Across Mental Disorders.
PsyArXiv Preprints
DOI
Eckert, A., Blume, J. S., Knopp, B., Schütz, A. C., & Endres, D. (2024).
Distinct Biases Shape Perceptual Inference Dynamics Along the Autism-Psychosis Spectra.
DOI
Ehrlich, I., Ortiz-Tudela, J., Tan, Y. Y., Muckli, L., & Shing, Y. L. (2024).
Mnemonic but not contextual feedback signals defy dedifferentiation in the aging early visual cortex.
Journal of neuroscience, 44(16).
Endres, J., Hahn, O., Corbière, C., Schaub-Meyer, S., Roth, S., & Alahi, A. (2025).
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems.
DOI
Endres, J., Hahn, O., Corbière, C., Schaub-Meyer, S., Roth, S., & Alahi, A. (2025).
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
DOI DOI DOI
Falck, J., Zhang, L., Raffington, L., Mohn, J. J., Triesch, J., Heim, C., & Shing, Y. L. (2023).
Longitudinal Changes in Value-based Learning in Middle Childhood: Distinct Contributions of Hippocampus and Striatum.
bioRxiv preprint
DOI
Faßbender, L., Falck, J., López, F. M., Shing, Y. L.,Triesch, J., Schwarzer, G. (2025).
A comparison of force adaptation in toddlers and adults during a drawer opening task.
Scientific Reports, 15(1), 3699.
DOI
Filip, J., Dechterenko, F., Schmidt, F., Lukavsky, J., Kotera, J., Vilimovska, V., & Fleming, R. W. (2025).
Material fingerprinting: predicting human perception of material appearance through psychophysical analysis and neural networks.
Royal Society Open Science, 12(11).
DOI
Filip, J., Dechterenko, F., Schmidt, F., Lukavsky, J., Vilimovska, V., Kotera, J., & Fleming, R. W. (2024).
Material Fingerprinting: Identifying and Predicting Perceptual Attributes of Material Appearance.
arXiv preprint arXiv: 2410.13615.
Filip, J., Lukavský, J., Děchtěrenko, F., Schmidt, F., & Fleming, R. W. (2024).
Perceptual dimensions of wood materials.
Journal of Vision, 24(5), 12.
DOI
Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2022).
Deep neural models for color classification and color constancy.
Journal of vision, 22(4), 17-17.
DOI DOI
Friedrich, F., Hämmerl, K., Schramowski, P., Brack, M., Libovický, J., Fraser, A., & Kersting, K. (2025).
Multilingual text-to-image generation magnifies gender stereotypes.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 19656-19679.
DOI
Friedrich, F., Stammer, W., Schramowski, P., & Kersting, K. (2023).
A typology for exploring the mitigation of shortcut behaviour.
Nature Machine Intelligence, 5(3), 319-330.
DOI DOI
Friedrich, F., Stammer, W., Schramowski, P., Kersting, K. (2023).
Revision Transformers: Instructing Language Models to Change their Values. In
Proceedings of the 26th European Conference on Artificial Intelligence (ECAI).
DOI
Friedrich, F., Tedeschi, S., Schramowski, P., Brack, M., Navigli, R., Nguyen, H., ... & Kersting, K. (2025).
Llms lost in translation: M-alert uncovers cross-linguistic safety gaps.
ICLR 2025 Workshop on Building Trust in Language Models and Applications.
Friedrich, F., Welsch, T. G., Brack, M., Schramowski, P., & Kersting, K. (2025).
Beyond Overcorrection: Evaluating Diversity in T2I Models with DIVBENCH.
arXiv preprint: 2507.03015.
Goettker, A., & Gegenfurtner, K. R. (2024).
Individual differences link sensory processing and motor control.
Psychological Review.
DOI DOI
Goktepe, N., & Schütz, A. C. (2023).
Familiar objects benefit more from transsaccadic feature predictions.
Attention, Perception, & Psychophysics, 1-13.
DOI
Goktepe, N., & Schütz, A. C. (2023).
Familiar objects benefit more from transsaccadic feature predictions.
Attention, Perception, & Psychophysics, 1-13.
DOI
Goktepe, N., & Schütz, A. C. (2024).
Frequency-specific and periodic masking of peripheral characters by delayed foveal input.
In Scientific Reports 14(1), 4642.
DOI
Goll, Z. R., Schmidt, F., A-Izzeddin, E. J., Aubuchon, C., Kiliç, F., & Fleming, R. W. (2025).
Spatio-chromatic cues in shape and material perception.
Journal of Vision, 25(9), 2088-2088.
Gong, X., Hahn, O., Reich, C., Singh, K., Schaub-Meyer, S., Cremers, D., & Roth, S. (2025).
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery.
IEEE International Conference on Computer Vision (ICCV) Workshops.
DOI
Gregorova, K., Turini, J., Gagl, B., & Vo, M. L. H. (2021).
Access to meaning from visual input: Object and word frequency effects in categorization behavior.
PsyArXiv Preprints
DOI
Grössle, I. M., Schubö, A., & Tünnermann, J. (2023).
Testing a relational account of search templates in visual foraging.
Scientific Reports, 13(1) ,12541
DOI
Guerrero‐Viu, J., Subias, J. D., Serrano, A., Storrs, K. R., Fleming, R. W., Masia, B., & Gutierrez, D. (2024).
Predicting Perceived Gloss: Do Weak Labels Suffice?.
Computer Graphics Forum (43)2, e15037.
DOI
Hahn, O., Araslanov, N., Schaub-Meyer, S., & Roth, S. (2024).
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals.
arXiv preprint2404.16818.
DOI
Hahn, O., Reich, C., Araslanov, N., Cremers, D., Rupprecht, C., & Roth, S. (2025).
Scene-Centric Unsupervised Panoptic Segmentation.
Proceedings of the Computer Vision and Pattern Recognition Conference, 24485-24495.
DOI
Härle, R., Friedrich, F., Brack, M., Deiseroth, B., Schramowski, P., & Kersting, K. (2024).
SCAR: Sparse conditioned autoencoders for concept detection and steering in LLMs.
arXiv preprint arXiv: 2411.07122.
DOI
Härle, R., Friedrich, F., Brack, M., Wäldchen, S., Deiseroth, B., Schramowski, P., & Kersting, K. (2025).
Measuring and Guiding Monosemanticity.
arXiv preprint, 2506.19382.
Helbing, J., Draschkow*, D., & Võ*, M. L.-H. (2022).
Auxiliary scene-context information provided by anchor objects guides attention and locomotion in natural search behavior.
Psychological science, 33(9), 1463–1476.
DOI
Helbing, J., Draschkow, D., & Võ, M. L. H. (2025).
Incidental Encoding of Objects during Search Is Stronger Than Intentional Memorization due to Increased Recollection Rather Than Familiarity.
Journal of Cognitive Neuroscience, 1-20.
DOI
Helff, L., Friedrich, F., Brack, M., Kersting, K., & Schramowski, P. (2024).
Llavaguard: An open vlm-based framework for safeguarding vision datasets and models.
arXiv preprint arXiv: 2406.05113.
DOI
Hermann, A., Benke, C., Blecker, C. R., de Haas, B., He, Y., Hofmann, S. G., ... & Kirchner, L. (2024).
Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind.
BMC psychiatry, 24(1), 657.
Hesse, R., Bağcı, D., Schiele, B., Schaub-Meyer, S., & Roth, S. (2025).
Beyond Accuracy: What Matters in Designing Well-Behaved Models?.
arXiv preprint arXiv: 2503.17110
DOI
Hesse, R., Fischer, J., Schaub-Meyer, S., & Roth, S. (2025).
Disentangling Polysemantic Channels in Convolutional Neural Networks.
Proceedings of the Computer Vision and Pattern Recognition Conference, 4799-4803.
DOI
Hesse, R., Schaub-Meyer, S., & Roth, S. (2021).
Fast axiomatic attribution for neural networks.
Advances in Neural Information Processing Systems, 34(2), 19513-19524.
DOI
Hesse, R., Schaub-Meyer, S., & Roth, S. (2023).
Funnybirds: A synthetic vision dataset for a part-based analysis of explainable ai methods.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 3981-3991.
DOI
Hesse, R., Schaub-Meyer, S., & Roth, S. (2024).
Benchmarking the attribution quality of vision models.
Advances in Neural Information Processing Systems, 37, 97928-97947.
DOI
Hesse, R., Schaub-Meyer, S., & Roth, S. (2023) (2023).
Content-adaptive downsampling in convolutional neural networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4544-4553.
DOI
Hilbert, K., Böhnlein, J., Meinke, C., Chavanne, A., Langhammer, T., Stumpe, L., Winter, N., Kircher, T., Rief, W., Straube, B., Roesmann, K., Leehr, E.J., Dannlowski, U., & Lueken, U., (2024).
Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders.
NeuroImage, 295, 120639.
DOI
Jevtić, A., Reich, C., Wimbauer, F., Hahn, O., Rupprecht, C., Roth, S., & Cremers, D. (2025).
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
Proc. of the Twentieth IEEE International Conference on Computer Vision.
DOI
Jevtić, A., Reich, C., Wimbauer, F., Hahn, O., Rupprecht, C., Roth, S., & Cremers, D. (2025).
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
IEEE International Conference on Computer Vision (ICCV)
DOI
DOI
Kaiser, D., Stecher, R., Dörschner-Boyaci, K. (2023).
EEG decoding reveals neural predictions for naturalistic material behaviors.
bioRxiv preprint
DOI
Kallmayer, A., & Võ, M. L. H. (2024).
Anchor objects drive realism while diagnostic objects drive categorization in GAN generated scenes.
Communications Psychology, 2(1), 68.
DOI
Kallmayer, A., Võ, M. L. H., & Draschkow, D. (2023).
Viewpoint dependence and scene context effects generalize to depth rotated three-dimensional objects.
Journal of Vision, 23 (10), 9.
DOI
Kallmayer, A., Zacharias, L., Jetter, L., & Võ, M. L. (2024).
More than meets the eye: Neural evidence for scene grammar representations during individual object processing.
PsyArxiv, 10.
DOI
Kamath, R., Mitchell, R., Paul, S., Kersting, K., & Mundt, M. (2024).
BOWL: A Deceptively Simple Open World Learner.
arXiv preprint arXiv: 2402.04814.
Kirchner, L., Eckert, A. L., Berg, M., Endres, D., Straube, B., & Rief, W. (2024).
An active inference approach to interpersonal differences in depression.
New Ideas in Psychology, 74, 101092.
Kirchner, L., Eckert, A., Berg, M., Endres, D., Straube, B., & Rief, W. (2022).
Better safe than sorry? - An active inference approach to biased inference on social contexts in depression.
PsyArXiv Preprints
Kirchner, L., Kloft, M., Arias Martín, B., Berg, M., Anjedanimoghadamaraghi, P., Schäfer, L., & Rief, W. (2023).
Measuring dysfunctional interpersonal beliefs: validation of the Interpersonal Cognitive Distortions Scale among a heterogeneous German-speaking sample.
BMC psychiatry, 23(1), 702.
DOI
Kirchner, L., Kube, T., Berg, M., Eckert, A. L., Straube, B., Endres, D., & Rief, W. (2024).
Social expectations in depression.
Nature Reviews Psychology, 1-15.
Kirchner, L., Kube, T., D'Astolfo, L., Strahler, J., Herbstreit, R., & Rief, W. (2023).
How to modify expectations of social rejection? An experimental study using a false-feedback paradigm.
Journal of Behavior Therapy and Experimental Psychiatry, 81, 101859.
Kirchner, L., Rief, W., Müller, L., Buchwald, H., Fuhrmann, K., & Berg, M. (2023).
Processing Unexpected Social Feedback in Depression: Differences in Feedback Acceptance and Immunizing Cognition.
PsyArXiv Preprints
DOI
Kirchner, L., Rief, W., Müller, L., Buchwald, H., Fuhrmann, K., & Berg, M. (2023).
Processing Unexpected Social Feedback in Depression: Differences in Feedback Acceptance and Immunizing Cognition.
PsyArXiv Preprints
Kirchner, L., Rief, W., Müller, L., Buchwald, H., Fuhrmann, K., & Berg, M. (2024).
Depressive symptoms and the processing of unexpected social feedback: Differences in surprise levels, feedback acceptance, and “immunizing” cognition.
Plos one, 19(8), e0307035.
DOI
Kollenda, D., de Haas, B. (2022).
The influence of familiarity on memory for faces and mask wearing.
Cognitive Research, 7(1).
DOI
Kollenda, D., Reher, A. S. V., & de Haas, B. (2024).
Individual gaze predicts individual scene descriptions.
DOI
Kollenda, D., Reher, A. S., & de Haas, B. (2025).
Individual gaze predicts individual scene descriptions.
Scientific Reports, 15(1), 9443.
DOI
Kraus, M., Divo, F., Steinmann, D., Dhami, D. S., & Kersting, K. (2024) (2024).
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.
arXiv preprint arXiv: 2402.15404.
Kraus, M., Steinmann, D., Wüst, A., Kokozinski, A., & Kersting, K. (2024).
Right on time: Revising time series models by constraining their explanations.
arXiv preprint:2402.12921
DOI
Krugliak, A., Draschkow, D., Võ, M. L. H., & Clarke, A. (2023).
Semantic object processing is modulated by prior scene context.
Language, Cognition and Neuroscience,1-10.
DOI
Lepori, F., Hartmann, F. T., Dehn, K. I., Chessa, M., Fleming, R. W., & Maiello, G. (2025).
Does precision grip research extend to unconstrained, multidigit grasping?.
Journal of Neurophysiology, 133(6), 1836-1843.
DOI
Liao, C., Cheeseman, J., Schmidt, F., Fleming, R. W., & Xiao, B. (2025).
Visual Adaptation of Complex Material Appearances.
Journal of Vision, 25(9), 2223-2223.
Linka, M., Broda, M. D., Alsheimer, T. A., de Haas, B., & Ramon, M. (2022).
Characteristic fixation biases in Super-Recognizers.
Journal of Vision, in press.
DOI
Linka, M., Karimpur, H., & de Haas, B. (2024).
Protracted development of gaze behaviour.
DOI
Linka, M., Karimpur, H., & de Haas, B. (2025).
Protracted development of gaze behaviour.
Nature Human Behaviour (2025), 1-11.
DOI
Linka, M., Sensoy, Ö., Karimpur, H., Schwarzer, G., de Haas, B. (2022).
Attentional biases in free viewing of complex scenes in preschoolers and adults.
PsyArXiv Preprints
DOI
Linka, M., Sensoy, Ö., Karimpur, H., Schwarzer, G., de Haas, B. (2023).
Free viewing biases for complex scenes in preschoolers and adults.
Sci Rep, 13, 11803.
DOI
López, F. M., & Triesch, J. (2025).
Hierarchical Residuals Exploit Brain-Inspired Compositionality.
arXiv preprint arXiv:2502.16003.
López, F. M., & Triesch, J. (2025).
Hierarchical Residuals Exploit Brain‑Inspired Compositionality.
2025 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).
DOI
López, F. M., Lenz, M., Fedozzi, M., Aubret, A., & Triesch, J. (2025).
MIMo grows! Simulating body and sensory development in a multimodal infant model.
2025 IEEE International Conference on Development and Learning (ICDL).
DOI
López, F. M., Shi, B. E., & Triesch, J. (2023).
Eye-Hand Coordination Develops from Active Multimodal Compression.
2023 IEEE International Conference on Development and Learning (ICDL) ,437-442.
Lopez, F. M., Shi, B. E., & Triesch, J. (2024).
Prioritizing Compression Explains Human Perceptual Preferences.
Intrinsically-Motivated and Open-Ended Learning Workshop@ NeurIPS2024.
DOI
Maier, P. M., Schommartz, I., Iggena, D., Finke, C., Ploner, C. J., & Shing, Y. L. (2024).
Development of spatial memory consolidation: A comparison between children and adults.
Developmental Psychology.
DOI
Malik, A., Yu, Y., Boyaci, H., & Doerschner, K. (2025).
Perceiving Material Qualities from Moving Contours.
bioRxiv, 2025-07.
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