Robert Geirhos

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Story Generation

Top Venues

Nat. Mach. Intell.

Publications

Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR (2024)
Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos
How Aligned are Different Alignment Metrics? CoRR (2024)
Priyank Jaini, Kevin Clark, Robert Geirhos
Intriguing Properties of Generative Classifiers. ICLR (2024)
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 A. Gritsenko, Mario Lucic, Neil Houlsby
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS (2023)
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Felix A. Wichmann, Simon Kornblith, Robert Geirhos
Neither hype nor gloom do DNNs justice. CoRR (2023)
Priyank Jaini, Kevin Clark, Robert Geirhos
Intriguing properties of generative classifiers. CoRR (2023)
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, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
Getting aligned on representational alignment. CoRR (2023)
Robert Geirhos, Roland S. Zimmermann, Blair L. Bilodeau, Wieland Brendel, Been Kim
Don't trust your eyes: on the (un)reliability of feature visualizations. CoRR (2023)
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
Scaling Vision Transformers to 22 Billion Parameters. ICML (2023)
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. CoRR (2023)
Felix A. Wichmann, Robert Geirhos
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? CoRR (2023)
Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos
Beyond neural scaling laws: beating power law scaling via data pruning. NeurIPS (2022)
Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond). ICLR (2022)
Lukas S. Huber, Robert Geirhos, Felix A. Wichmann
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. CoRR (2022)
Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos
Beyond neural scaling laws: beating power law scaling via data pruning. CoRR (2022)
Judy Borowski, Roland Simon Zimmermann, Judith Schepers, Robert Geirhos, Thomas S. A. Wallis, Matthias Bethge, Wieland Brendel
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization. ICLR (2021)
Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
Trivial or impossible - dichotomous data difficulty masks model differences (on ImageNet and beyond). CoRR (2021)
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
Partial success in closing the gap between human and machine vision. CoRR (2021)
Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? CoRR (2021)
Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? NeurIPS (2021)
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
Partial success in closing the gap between human and machine vision. NeurIPS (2021)
Robert Geirhos, Kristof Meding, Felix A. Wichmann
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. CoRR (2020)
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
On the surprising similarities between supervised and self-supervised models. CoRR (2020)
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
Shortcut learning in deep neural networks. Nat. Mach. Intell. 2 (11) (2020)
Judy Borowski, Roland S. Zimmermann, Judith Schepers, Robert Geirhos, Thomas S. A. Wallis, Matthias Bethge, Wieland Brendel
Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations. CoRR (2020)
Robert Geirhos, Kristof Meding, Felix A. Wichmann
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. NeurIPS (2020)
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
Shortcut Learning in Deep Neural Networks. CoRR (2020)
Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. ICLR (2019)
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. CoRR (2019)
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
Generalisation in humans and deep neural networks. NeurIPS (2018)
Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. CoRR (2018)
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
Generalisation in humans and deep neural networks. CoRR (2018)
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann
Comparing deep neural networks against humans: object recognition when the signal gets weaker. CoRR (2017)
Felix A. Wichmann, David H. J. Janssen, Robert Geirhos, Guillermo Aguilar, Heiko H. Schütt, Marianne Maertens, Matthias Bethge
Methods and measurements to compare men against machines. HVEI (2017)
Martin V. Butz, Robert Geirhos, Jan Kneissler
An Automatized Heider-Simmel Story Generation Tool. CogSci (2015)