Robert Geirhos
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1347 citations
#cs.CL #cs.AI
- Shortcut learning in deep neural networks
2020/04/16 by Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis +5 · 2 voices · 160 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.AI #cs.CV #cs.LG #q-bio.NC
- Getting aligned on representational alignment
2023/10/18 by Ilia Sucholutsky, Lukas Muttenthaler, Sucholutsky, Ilia +66 · 10 voices · 34 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
- Humanity's Last Exam
2025/01/24 by Long Phan, Alice Gatti, Phan, Long +2240 · 9 voices · 103 citations
#cs.LG #cs.AI #cs.CL
- ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
2018/11/29 by Robert Geirhos, Patricia Rubisch, Geirhos, Robert +9 · 85 citations
Neuroscience · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
- Video models are zero-shot learners and reasoners
2025/09/24 by Thaddäus Wiedemer, Yuxuan Li, Wiedemer, Thaddäus +15 · 7 voices · 55 citations
#cs.LG #cs.AI #cs.CV #cs.RO
- Scaling Vision Transformers to 22 Billion Parameters
2023/02/10 by Mostafa Dehghani, Dehghani, Mostafa, Josip Djolonga +81 · 65 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- Beyond neural scaling laws: beating power law scaling via data pruning
2022/06/29 by Ben Sorscher, Sorscher, Ben, Robert Geirhos +7 · 54 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
2023/07/12 by Mostafa Dehghani, Basil Mustafa, Dehghani, Mostafa +27 · 44 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Do generative video models understand physical principles?
2025/01/14 by Saman Motamed, Laura Culp, Motamed, Saman +7 · 4 voices · 35 citations
Computer Science · #Computational Physics and Python Applications #cs.AI #cs.CV #cs.GR #cs.LG
- Generalisation in humans and deep neural networks
2018/08/27 by Robert Geirhos, Geirhos, Robert, Carlos R. Medina Temme +9 · 11 citations
Engineering · Computer Science · #Infrared Target Detection Methodologies #CCD and CMOS Imaging Sensors #Visual Attention and Saliency Detection
- We Can't Understand AI Using our Existing Vocabulary
2025/02/11 by John Hewitt, Hewitt, John, Robert Geirhos +3 · 3 voices · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
- Partial success in closing the gap between human and machine vision
2021/06/14 by Robert Geirhos, Geirhos, Robert, Kantharaju Narayanappa +11 · 7 citations
Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
- Can We Talk Models Into Seeing the World Differently?
2024/03/14 by Paul Gavrikov, Jovita Lukasik, Gavrikov, Paul +10 · 10 citations
Psychology · #Artificial Intelligence (cs.AI) #Categorization, perception, and language #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
- Neither hype nor gloom do DNNs justice
2023/12/08 by Felix A. Wichmann, Simon Kornblith, Wichmann, Felix A. +3 · 8 citations
Medicine · Physics and Astronomy · Engineering · #Ocular and Laser Science Research #Advanced Optical Sensing Technologies #Infrared Target Detection Methodologies
- Don't trust your eyes: on the (un)reliability of feature visualizations
2023/06/07 by Robert Geirhos, R. Zimmermann, Roland S. Zimmermann +8 · 1 voice · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications
- How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
2021/06/23 by R. Zimmermann, Zimmermann, Roland S., Judy Borowski +9 · 3 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques
- Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
2020/06/30 by Robert Geirhos, Geirhos, Robert, Kristof Meding +3 · 2 citations
Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
- On the surprising similarities between supervised and self-supervised models
2020/10/16 by Robert Geirhos, Kantharaju Narayanappa, Geirhos, Robert +9 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Topic Modeling
- Visual prompt engineering for video models
2026/07/28 by Robert Geirhos, Yuxuan Li, Thaddäus Wiedemer +7 · 1 voice
#cs.CV #cs.AI
- Learning Visual Composition through Improved Semantic Guidance
2024/12/19 by Austin Stone, Stone, Austin, Hagen Soltau +15 · 1 citation
Psychology · #Visual and Cognitive Learning Processes