Bethge, Matthias

Image Style Transfer Using Convolutional Neural Networks

Gatys, L. A., Ecker, A. S., & Bethge, M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 6,025

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

Mathis, A., Mamidanna, P., Cury, K. M., Abe, T., Murthy, V. N., Mathis, M. W., & Bethge, M. (2018) · Nature Neuroscience

Human Pose and Action RecognitionVideo Surveillance and Tracking Methods

Cited by 5,187

A Neural Algorithm of Artistic Style

Gatys, L., Ecker, A., & Bethge, M. (2016) · Journal of Vision

Generative Adversarial Networks and Image SynthesisAesthetic Perception and Analysis

Cited by 2,612

Shortcut learning in deep neural networks

Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 2,224

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., & Brendel, W. (2018) · arXiv

Advanced Neural Network ApplicationsVisual perception and processing mechanisms

Cited by 1,490

A note on the evaluation of generative models

Theis, L., Oord, A. V. D., & Bethge, M. (2015) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 1,026

Decision-based adversarial attacks: Reliable attacks against black-box machine learning models

Brendel, W., Rauber, J., & Bethge, M. (2017) · arXiv

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 1,018

The functional diversity of retinal ganglion cells in the mouse

Baden, T., Berens, P., Franke, K., Román Rosón, M., Bethge, M., & Euler, T. (2016) · Nature

Visual perception and processing mechanismsRetinal Development and Disorders

Cited by 999

Decorrelated neuronal firing in cortical microcircuits

Ecker, A. S., Berens, P., Keliris, G. A., Bethge, M., Logothetis, N. K., & Tolias, A. S. (2010) · Science

Neural dynamics and brain functionVisual perception and processing mechanisms

Cited by 640

Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq

Cadwell, C. R., Palasantza, A., Jiang, X., Berens, P., Deng, Q., Yilmaz, M., Reimer, J., Shen, S., Bethge, M., Tolias, K. F., et al. (2016) · Nature Biotechnology

Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research

Cited by 581

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Michaelis, C., Mitzkus, B., Geirhos, R., Rusak, E., Bringmann, O., Ecker, A. S., Bethge, M., & Brendel, W. (2019) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 324

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

Brendel, W., & Bethge, M. (2019) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 323

Partial success in closing the gap between human and machine vision

Geirhos, R., Narayanappa, K., Mitzkus, B., Thieringer, T., Bethge, M., Wichmann, F. A., & Brendel, W. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 129

A foundation model to predict and capture human cognition

Binz, M., Akata, E., Bethge, M., Brändle, F., Callaway, F., Coda-Forno, J., Dayan, P., Demircan, C., Eckstein, M. K., Éltető, N., et al. (2025) · Nature

Cognitive Science and Education ResearchDecision-Making and Behavioral Economics

Cited by 119

Playing repeated games with Large Language Models

Akata, E., Schulz, L., Coda-Forno, J., Oh, S. J., Bethge, M., & Schulz, E. (2023) · arXiv

Game Theory and ApplicationsEvolutionary Game Theory and Cooperation

Cited by 99

On the Structure of Neuronal Population Activity under Fluctuations in Attentional State

Ecker, A. S., Denfield, G. H., Bethge, M., & Tolias, A. S. (2016) · The Journal of Neuroscience

Visual perception and processing mechanismsNeural dynamics and brain function

Cited by 88

Visual cognition in multimodal large language models

Schulze Buschoff, L. M., Akata, E., Bethge, M., & Schulz, E. (2025) · Nature Machine Intelligence

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 83

Contrastive Learning Inverts the Data Generating Process

Zimmermann, R. S., Sharma, Y., Schneider, S., Bethge, M., & Brendel, W. (2021) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 52

Acceptance and barriers to access of occupational e-mental health: cross-sectional findings from a health-risk population of employees

Hennemann, S., Witthöft, M., Bethge, M., Spanier, K., Beutel, M. E., & Zwerenz, R. (2018) · International Archives of Occupational and Environmental Health

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 49

Associations between overcommitment, effort-reward imbalance and mental health: findings from a longitudinal study

Hinsch, D. M., Spanier, K., Radoschewski, F. M., & Bethge, M. (2019) · International Archives of Occupational and Environmental Health

Workplace Health and Well-beingEmployment and Welfare Studies

Cited by 35

Implementierung einer Verhaltensmedizinisch Orientierten Rehabilitation in der Kardiologie

Benninghoven, D., Menke, E., China, C., Schroeder, F., & Bethge, M. (2022) · PPmP Psychotherapie Psychosomatik Medizinische Psychologie

Cardiac Health and Mental HealthMindfulness and Compassion Interventions

Cited by 8

CiteME: Can Language Models Accurately Cite Scientific Claims?

Press, O., Hochlehnert, A., Prabhu, A., Udandarao, V., Press, O., & Bethge, M. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4

Investigating Continual Pretraining in Large Language Models: Insights and Implications

Yıldız, Ç., Ravichandran, N. K., Sharma, N., Bethge, M., & Ermis, B. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 3

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

Thede, L., Roth, K., Bethge, M., Akata, Z., & Hartvigsen, T. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0