Robert Geirhos

53 papers A* 15B 1Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-Generated Video Detection via Perceptual Straightening. CoRR Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David A. Klindt
2025	A*	`conf`	Can We Talk Models Into Seeing the World Differently? ICLR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2025	J	`jnl`	Do generative video models learn physical principles from watching videos? CoRR Saman Motamed, Laura Culp, Kevin Swersky, Priyank Jaini, Robert Geirhos
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. 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 P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025	A*	`conf`	LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models. ICML Fanfei Li, Thomas Klein, Wieland Brendel, Robert Geirhos, Roland S. Zimmermann
2025	J	`jnl`	LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models. CoRR Fanfei Li, Thomas Klein, Wieland Brendel, Robert Geirhos, Roland S. Zimmermann
2025	A*	`conf`	Learning Visual Composition through Improved Semantic Guidance. CVPR Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens
2025	J	`jnl`	Neologism Learning for Controllability and Self-Verbalization. CoRR John Hewitt, Oyvind Tafjord, Robert Geirhos, Been Kim
2025	—	`conf`	Position: We Can't Understand AI Using our Existing Vocabulary. ICML (Position Papers) John Hewitt, Robert Geirhos, Been Kim
2025	A*	`conf`	Towards flexible perception with visual memory. ICML Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens
2025	J	`jnl`	Video models are zero-shot learners and reasoners. CoRR Thaddäus Wiedemer, Yuxuan Li, Paul Vicol, Shixiang Shane Gu, Nick Matarese, Kevin Swersky, Been Kim, Priyank Jaini, Robert Geirhos
2025	J	`jnl`	We Can't Understand AI Using our Existing Vocabulary. CoRR John Hewitt, Robert Geirhos, Been Kim
2024	J	`jnl`	Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2024	A*	`conf`	Don't trust your eyes: on the (un)reliability of feature visualizations. ICML Robert Geirhos, Roland S. Zimmermann, Blair L. Bilodeau, Wieland Brendel, Been Kim
2024	J	`jnl`	How Aligned are Different Alignment Metrics? CoRR Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos
2024	A*	`conf`	Intriguing Properties of Generative Classifiers. ICLR Priyank Jaini, Kevin Clark, Robert Geirhos
2024	J	`jnl`	Learning Visual Composition through Improved Semantic Guidance. CoRR Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens
2024	J	`jnl`	Towards flexible perception with visual memory. CoRR Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens
2023	J	`jnl`	Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? CoRR Felix A. Wichmann, Robert Geirhos
2023	J	`jnl`	Don't trust your eyes: on the (un)reliability of feature visualizations. CoRR Robert Geirhos, Roland S. Zimmermann, Blair L. Bilodeau, Wieland Brendel, Been Kim
2023	J	`jnl`	Getting aligned on representational alignment. CoRR 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
2023	J	`jnl`	Intriguing properties of generative classifiers. CoRR Priyank Jaini, Kevin Clark, Robert Geirhos
2023	J	`jnl`	Neither hype nor gloom do DNNs justice. CoRR Felix A. Wichmann, Simon Kornblith, Robert Geirhos
2023	A*	`conf`	Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS 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
2023	J	`jnl`	Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. CoRR 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
2023	A*	`conf`	Scaling Vision Transformers to 22 Billion Parameters. ICML 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
2023	J	`jnl`	Scaling Vision Transformers to 22 Billion Parameters. CoRR 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 Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
2022	A*	`conf`	Beyond neural scaling laws: beating power law scaling via data pruning. NeurIPS Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos
2022	J	`jnl`	Beyond neural scaling laws: beating power law scaling via data pruning. CoRR Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos
2022	—	`ch.`	Irren ist menschlich: Aber was, wenn Maschinen Fehler machen? Ausgezeichnete Informatikdissertationen Robert Geirhos
2022	J	`jnl`	The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. CoRR Lukas S. Huber, Robert Geirhos, Felix A. Wichmann
2022	—	`—`	To err is human? A functional comparison of human and machine decision-making. Robert Geirhos
2022	A*	`conf`	Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond). ICLR Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
2021	A*	`conf`	Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization. ICLR Judy Borowski, Roland Simon Zimmermann, Judith Schepers, Robert Geirhos, Thomas S. A. Wallis, Matthias Bethge, Wieland Brendel
2021	A*	`conf`	How Well do Feature Visualizations Support Causal Understanding of CNN Activations? NeurIPS Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel
2021	J	`jnl`	How Well do Feature Visualizations Support Causal Understanding of CNN Activations? CoRR Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel
2021	A*	`conf`	Partial success in closing the gap between human and machine vision. NeurIPS Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2021	J	`jnl`	Partial success in closing the gap between human and machine vision. CoRR Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2021	J	`jnl`	Trivial or impossible - dichotomous data difficulty masks model differences (on ImageNet and beyond). CoRR Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
2020	A*	`conf`	Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. NeurIPS Robert Geirhos, Kristof Meding, Felix A. Wichmann
2020	J	`jnl`	Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. CoRR Robert Geirhos, Kristof Meding, Felix A. Wichmann
2020	J	`jnl`	Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations. CoRR Judy Borowski, Roland S. Zimmermann, Judith Schepers, Robert Geirhos, Thomas S. A. Wallis, Matthias Bethge, Wieland Brendel
2020	J	`jnl`	On the surprising similarities between supervised and self-supervised models. CoRR Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2020	J	`jnl`	Shortcut Learning in Deep Neural Networks. CoRR Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
2020	J	`jnl`	Shortcut learning in deep neural networks. Nat. Mach. Intell. Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
2019	J	`jnl`	Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. CoRR Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel
2019	—	`conf`	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. ICLR Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2018	A*	`conf`	Generalisation in humans and deep neural networks. NeurIPS Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
2018	J	`jnl`	Generalisation in humans and deep neural networks. CoRR Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
2018	J	`jnl`	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. CoRR Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2017	J	`jnl`	Comparing deep neural networks against humans: object recognition when the signal gets weaker. CoRR Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann
2017	—	`conf`	Methods and measurements to compare men against machines. HVEI Felix A. Wichmann, David H. J. Janssen, Robert Geirhos, Guillermo Aguilar, Heiko H. Schütt, Marianne Maertens, Matthias Bethge
2015	B	`conf`	An Automatized Heider-Simmel Story Generation Tool. CogSci Martin V. Butz, Robert Geirhos, Jan Kneissler