An Automatized Heider-Simmel Story Generation Tool. - Martin V. Butz; Robert Geirhos; Jan Kneissler (CogSci, 2015)

Methods and measurements to compare men against machines. - Felix A. Wichmann; David H. J. Janssen; Robert Geirhos; Guillermo Aguilar; Heiko H. Schütt; Marianne Maertens; Matthias Bethge (HVEI, 2017)

Comparing deep neural networks against humans: object recognition when the signal gets weaker. - Robert Geirhos; David H. J. Janssen; Heiko H. Schütt; Jonas Rauber; Matthias Bethge; Felix A. Wichmann (CoRR, 2017)

Generalisation in humans and deep neural networks. - Robert Geirhos; Carlos R. Medina Temme; Jonas Rauber; Heiko H. Schütt; Matthias Bethge; Felix A. Wichmann (NeurIPS, 2018)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. - Robert Geirhos; Patricia Rubisch; Claudio Michaelis; Matthias Bethge; Felix A. Wichmann; Wieland Brendel (ICLR, 2019)

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. - Claudio Michaelis; Benjamin Mitzkus; Robert Geirhos; Evgenia Rusak; Oliver Bringmann 001; Alexander S. Ecker; Matthias Bethge; Wieland Brendel (CoRR, 2019)

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. - Robert Geirhos; Kristof Meding; Felix A. Wichmann (NeurIPS, 2020)

On the surprising similarities between supervised and self-supervised models. - Robert Geirhos; Kantharaju Narayanappa; Benjamin Mitzkus; Matthias Bethge; Felix A. Wichmann; Wieland Brendel (CoRR, 2020)

Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations. - Judy Borowski; Roland S. Zimmermann; Judith Schepers; Robert Geirhos; Thomas S. A. Wallis; Matthias Bethge; Wieland Brendel (CoRR, 2020)

Shortcut learning in deep neural networks. - Robert Geirhos; Jörn-Henrik Jacobsen; Claudio Michaelis; Richard S. Zemel; Wieland Brendel; Matthias Bethge; Felix A. Wichmann (Nat. Mach. Intell., 2020)

Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization. - Judy Borowski; Roland Simon Zimmermann; Judith Schepers; Robert Geirhos; Thomas S. A. Wallis; Matthias Bethge; Wieland Brendel (ICLR, 2021)

Partial success in closing the gap between human and machine vision. - Robert Geirhos; Kantharaju Narayanappa; Benjamin Mitzkus; Tizian Thieringer; Matthias Bethge; Felix A. Wichmann; Wieland Brendel (NeurIPS, 2021)

How Well do Feature Visualizations Support Causal Understanding of CNN Activations? - Roland S. Zimmermann; Judy Borowski; Robert Geirhos; Matthias Bethge; Thomas S. A. Wallis; Wieland Brendel (NeurIPS, 2021)

Trivial or Impossible — dichotomous data difficulty masks model differences (on ImageNet and beyond). - Kristof Meding; Luca M. Schulze Buschoff; Robert Geirhos; Felix A. Wichmann (ICLR, 2022)

Beyond neural scaling laws: beating power law scaling via data pruning. - Ben Sorscher; Robert Geirhos; Shashank Shekhar; Surya Ganguli; Ari Morcos (NeurIPS, 2022)

The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. - Lukas S. Huber; Robert Geirhos; Felix A. Wichmann (CoRR, 2022)

To err is human? A functional comparison of human and machine decision-making. - Robert Geirhos (2022)

Irren ist menschlich: Aber was, wenn Maschinen Fehler machen? - Robert Geirhos (Ausgezeichnete Informatikdissertationen, 2022)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. - Mostafa Dehghani 001; Basil Mustafa; Josip Djolonga; Jonathan Heek; Matthias Minderer; Mathilde Caron; Andreas Steiner 001; Joan Puigcerver; Robert Geirhos; Ibrahim M. Alabdulmohsin; Avital Oliver; Piotr Padlewski; et al. (NeurIPS, 2023)

Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? - Felix A. Wichmann; Robert Geirhos (CoRR, 2023)

Getting aligned on representational alignment. - Ilia Sucholutsky; Lukas Muttenthaler; Adrian Weller; Andi Peng; Andreea Bobu; Been Kim; Bradley C. Love; Erin Grant; Jascha Achterberg; Joshua B. Tenenbaum; Katherine M. Collins; Katherine L. Hermann; et al. (CoRR, 2023)

Neither hype nor gloom do DNNs justice. - Felix A. Wichmann; Simon Kornblith; Robert Geirhos (CoRR, 2023)

Intriguing Properties of Generative Classifiers. - Priyank Jaini; Kevin Clark; Robert Geirhos (ICLR, 2024)

Don't trust your eyes: on the (un)reliability of feature visualizations. - Robert Geirhos; Roland S. Zimmermann; Blair L. Bilodeau; Wieland Brendel; Been Kim (ICML, 2024)

Are Vision Language Models Texture or Shape Biased and Can We Steer Them? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Bianca Lamm; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (CoRR, 2024)

How Aligned are Different Alignment Metrics? - Jannis Ahlert; Thomas Klein; Felix A. Wichmann; Robert Geirhos (CoRR, 2024)

Towards flexible perception with visual memory. - Robert Geirhos; Priyank Jaini; Austin Stone; Sourabh Medapati; Xi Yi; George Toderici; Abhijit Ogale; Jonathon Shlens (CoRR, 2024)

Learning Visual Composition through Improved Semantic Guidance. - Austin Stone; Hagen Soltau; Robert Geirhos; Xi Yi; Ye Xia; Bingyi Cao; Kaifeng Chen; Abhijit Ogale; Jonathon Shlens (CVPR, 2025)

Can We Talk Models Into Seeing the World Differently? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (ICLR, 2025)

Do generative video models learn physical principles from watching videos? - Saman Motamed; Laura Culp; Kevin Swersky; Priyank Jaini; Robert Geirhos (CoRR, 2025)

We Can't Understand AI Using our Existing Vocabulary. - John Hewitt; Robert Geirhos; Been Kim (CoRR, 2025)

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models. - Fanfei Li; Thomas Klein; Wieland Brendel; Robert Geirhos; Roland S. Zimmermann (CoRR, 2025)

AI-Generated Video Detection via Perceptual Straightening. - Christian Internò; Robert Geirhos; Markus Olhofer; Sunny Liu; Barbara Hammer; David A. Klindt (CoRR, 2025)