Matthias Bethge
1999–2026 年に発表
- 236
- 論文数
- 39,700
- 被引用数
- 67
- h 指数
- 165
- i10 指数
被引用数
引用元
国・地域
機関
分野
- Computer Science61%
- Neuroscience15.7%
- Biochemistry, Genetics and Molecular Biology5.6%
- Engineering5.5%
- Medicine4.5%
- Psychology1.8%
- その他5.9%
トピック
- Generative Adversarial Networks and Image Synthesis7.2%
- Neural dynamics and brain function4.1%
- Adversarial Robustness in Machine Learning3.6%
- Domain Adaptation and Few-Shot Learning3.1%
- Advanced Image Processing Techniques3%
- Advanced Neural Network Applications2.9%
- その他76.1%
共著者
- Wieland Brendel43
- Alexander S. Ecker38
- Ameya Prabhu24
- Andreas S. Tolias24
- Matthias Kümmerer24
- Philipp Berens23
- Fabian H. Sinz17
- Thomas S. A. Wallis16
- Leon A. Gatys15
- Felix A. Wichmann14
- Lucas Theis14
- Jakob H. Macke13
- Sebastian Gerwinn13
- Vishaal Udandarao13
- Thomas Euler12
- Jonas Rauber11
- Robert Geirhos10
- Ivan Ustyuzhaninov9
- Klaus Pawelzik9
- Samuel Albanie9
- Santiago A. Cadena9
- Steffen Schneider9
- Thaddäus Wiedemer9
- Claudio Michaelis8
全論文
- Image Style Transfer Using Convolutional Neural Networks
著者: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 被引用: 6,010
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
著者: Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, Mackenzie Weygandt Mathis, Matthias Bethge - Nature Neuroscience 2018 被引用: 5,563
- Shortcut Learning in Deep Neural Networks
著者: Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann - Nature Machine Intelligence, Nat. Mach. Intell. 2020 被引用: 1,811
- ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
著者: Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel - ICLR 2019 被引用: 3,238
- A Neural Algorithm of Artistic Style
著者: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge - Journal of Vision 2016 被引用: 1,123
- Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
著者: Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel - arXiv (Cornell University), CoRR 2019 被引用: 331
- Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
著者: Wieland Brendel, Jonas Rauber, Matthias Bethge - ICLR (Poster) 2018 被引用: 1,558
- Playing repeated games with Large Language Models
著者: Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz - Nature Human Behaviour 2025 被引用: 120
- A note on the evaluation of generative models
著者: Lucas Theis, Aäron van den Oord, Matthias Bethge - ICLR 2016 被引用: 539
- A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
著者: Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, Samuel Albanie, Ameya Prabhu, Matthias Bethge - ArXiv.org, CoRR 2025 被引用: 69
- Controlling Perceptual Factors in Neural Style Transfer
著者: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 被引用: 514
- The functional diversity of retinal ganglion cells in the mouse
著者: Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler - Nature, Nat. 2016 被引用: 1,104
- Investigating Continual Pretraining in Large Language Models: Insights and Implications
著者: Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis - arXiv (Cornell University), CoRR 2024 被引用: 57
- Improving robustness against common corruptions by covariate shift adaptation
著者: Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge - Neural Information Processing Systems, NeurIPS 2020 被引用: 652
- DeepGaze III: Modeling free-viewing human scanpaths with deep learning
著者: Matthias Kümmerer, Matthias Bethge, Thomas S. A. Wallis - Journal of Vision 2022 被引用: 104
- Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq
著者: Cathryn R. Cadwell, Athanasia Palasantza, Xiaolong Jiang, Philipp Berens, Qiaolin Deng, Marlene Yilmaz, Jacob Reimer, Shan Shen, Matthias Bethge, Kimberley F. Tolias, Rickard Sandberg, Andreas S. Tolias - Nature Biotechnology 2015 被引用: 639
- Continual Learning: Applications and the Road Forward
著者: Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven - Trans. Mach. Learn. Res. 2024 被引用: 47
- A foundation model to predict and capture human cognition
著者: Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz - Nature, Nat. 2025 被引用: 72
- Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX
著者: Jonas Rauber, Roland Zimmermann, Matthias Bethge, Wieland Brendel - The Journal of Open Source Software, J. Open Source Softw. 2020 被引用: 161
- Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
著者: Wieland Brendel, Matthias Bethge - ICLR (Poster) 2019 被引用: 642
- DeepGaze II: Reading fixations from deep features trained on object recognition
著者: Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge - arXiv (Cornell University), CoRR 2016 被引用: 262
- No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
著者: Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge - Advances in Neural Information Processing Systems 37, NeurIPS 2024 被引用: 99
- Centaur: a foundation model of human cognition
著者: Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz - arXiv (Cornell University), CoRR 2024 被引用: 36
- Generalisation in humans and deep neural networks
著者: Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann - NeurIPS 2018 被引用: 685
