Geirhos, Robert

26 publications

NeurIPS 2025 AI-Generated Video Detection via Perceptual Straightening Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David Klindt

ICLR 2025 Can We Talk Models into Seeing the World Differently? Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

TMLR 2025 Getting Aligned on Representational Alignment Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

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

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

CVPR 2025 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

ICML 2025 Position: We Can’t Understand AI Using Our Existing Vocabulary John Hewitt, Robert Geirhos, Been Kim

ICML 2025 Towards Flexible Perception with Visual Memory Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens

ICML 2024 Don’t Trust Your Eyes: On the (un)reliability of Feature Visualizations Robert Geirhos, Roland S. Zimmermann, Blair Bilodeau, Wieland Brendel, Been Kim

ICLRW 2024 How Aligned Are Different Alignment Metrics? Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos

ICLR 2024 Intriguing Properties of Generative Classifiers Priyank Jaini, Kevin Clark, Robert Geirhos

ICMLW 2023 Don't Trust Your Eyes: On the (un)reliability of Feature Visualizations Robert Geirhos, Roland S. Zimmermann, Blair Bilodeau, Wieland Brendel, Been Kim

NeurIPS 2023 Patch N’ Pack: NaViT, a Vision Transformer for Any Aspect Ratio and Resolution Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey Gritsenko, Mario Lucic, Neil Houlsby

ICML 2023 Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby

NeurIPS 2022 Beyond Neural Scaling Laws: Beating Power Law Scaling via Data Pruning Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos

ICLR 2022 Trivial or Impossible --- Dichotomous Data Difficulty Masks Model Differences (on ImageNet and Beyond) Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann

NeurIPSW 2021 A Four-Year-Old Can Outperform ResNet-50: Out-of-Distribution Robustness May Not Require Large-Scale Experience Lukas S. Huber, Robert Geirhos, Felix A. Wichmann

ICLR 2021 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

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

NeurIPSW 2021 ImageNet Suffers from Dichotomous Data Difficulty Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann

NeurIPS 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 2020 Beyond Accuracy: Quantifying Trial-by-Trial Behaviour of CNNs and Humans by Measuring Error Consistency Robert Geirhos, Kristof Meding, Felix A. Wichmann

NeurIPSW 2020 Natural Images Are More Informative for Interpreting CNN Activations than State-of-the-Art Synthetic Feature Visualizations Judy Borowski, Roland Simon Zimmermann, Judith Schepers, Robert Geirhos, Thomas S. A. Wallis, Matthias Bethge, Wieland Brendel

NeurIPSW 2020 On the Surprising Similarities Between Supervised and Self-Supervised Models Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel

ICLR 2019 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

NeurIPS 2018 Generalisation in Humans and Deep Neural Networks Robert Geirhos, Carlos R. M. Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann