Matthias Bethge

222 papers A* 40A 2Journal 141Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intrinsic Credit Assignment for Long Horizon Interaction. CoRR Ilze Amanda Auzina, Joschka Strüber, Sergio Hernández-Gutiérrez, Shashwat Goel, Ameya Prabhu, Matthias Bethge
2026	J	`jnl`	MentisOculi: Revealing the Limits of Reasoning with Mental Imagery. CoRR Jana Zeller, Thaddäus Wiedemer, Fanfei Li, Thomas Klein, Prasanna Mayilvahanan, Matthias Bethge, Felix A. Wichmann, Ryan Cotterell, Wieland Brendel
2026	J	`jnl`	PostTrainBench: Can LLM Agents Automate LLM Post-Training? CoRR Ben Rank, Hardik Bhatnagar, Ameya Prabhu, Shira Eisenberg, Karina Nguyen, Matthias Bethge, Maksym Andriushchenko
2025	J	`jnl`	A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks. CoRR Vishaal Udandarao, Mehdi Cherti, Shyamgopal Karthik, Jenia Jitsev, Samuel Albanie, Matthias Bethge
2025	J	`jnl`	A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility. CoRR Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, Samuel Albanie, Ameya Prabhu, Matthias Bethge
2025	J	`jnl`	A foundation model to predict and capture human cognition. Nat. 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
2025	J	`jnl`	AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs? CoRR Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel K. Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Perez-Pineiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press
2025	J	`jnl`	Are We Done with Object-Centric Learning? CoRR Alexander Rubinstein, Ameya Prabhu, Matthias Bethge, Seong Joon Oh
2025	J	`jnl`	Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation. CoRR Shiven Sinha, Shashwat Goel, Ponnurangam Kumaraguru, Jonas Geiping, Matthias Bethge, Ameya Prabhu
2025	J	`jnl`	Concept-Aware Batch Sampling Improves Language-Image Pretraining. CoRR Adhiraj Ghosh, Vishaal Udandarao, Thao Nguyen, Matteo Farina, Mehdi Cherti, Jenia Jitsev, Sewoong Oh, Elisa Ricci, Ludwig Schmidt, Matthias Bethge
2025	J	`jnl`	Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions. CoRR Tobias Schmidt, Steffen Schneider, Matthias Bethge
2025	A*	`conf`	Great Models Think Alike and this Undermines AI Oversight. ICML Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K. Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping
2025	J	`jnl`	Great Models Think Alike and this Undermines AI Oversight. CoRR Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K. Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping
2025	A*	`conf`	How to Merge Your Multimodal Models Over Time? CVPR Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge
2025	A*	`conf`	Identifying latent state transitions in non-linear dynamical systems. ICLR Çaglar Hizli, Çagatay Yildiz, Matthias Bethge, S. T. John, Pekka Marttinen
2025	A*	`conf`	In Search of Forgotten Domain Generalization. ICLR Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
2025	A*	`conf`	In Search of Forgotten Domain Generalization. ICLR Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
2025	J	`jnl`	Investigating Continual Pretraining in Large Language Models: Insights and Implications. Trans. Mach. Learn. Res. Çagatay Yildiz, Nishaanth Kanna Ravichandran, Nitin Sharma, Matthias Bethge, Beyza Ermis
2025	A*	`conf`	LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws. ICML Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel
2025	J	`jnl`	LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws. CoRR Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel
2025	J	`jnl`	Mapping Post-Training Forgetting in Language Models at Scale. CoRR Jackson Harmon, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu
2025	J	`jnl`	Modeling Saliency Dataset Bias. CoRR Matthias Kümmerer, Harneet Khanuja, Matthias Bethge
2025	—	`conf`	ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities. ACL (1) Adhiraj Ghosh, Sebastian Dziadzio, Ameya Prabhu, Vishaal Udandarao, Samuel Albanie, Matthias Bethge
2025	J	`jnl`	Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks. CoRR Thaddäus Wiedemer, Yash Sharma, Ameya Prabhu, Matthias Bethge, Wieland Brendel
2025	J	`jnl`	Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs. CoRR Christoph Schuhmann, Gollam Rabby, Ameya Prabhu, Tawsif Ahmed, Andreas Hochlehnert, Huu Nguyen, Nick Akinci Heidrich, Ludwig Schmidt, Robert Kaczmarczyk, Sören Auer, Jenia Jitsev, Matthias Bethge
2025	J	`jnl`	Solving Spatial Supersensing Without Spatial Supersensing. CoRR Vishaal Udandarao, Shyamgopal Karthik, Surabhi S. Nath, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu
2025	J	`jnl`	Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs. CoRR Alexander Panfilov, Evgenii Kortukov, Kristina Nikolic, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping
2025	A*	`conf`	Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models. ICML Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz
2025	J	`jnl`	Testing the limits of fine-tuning to improve reasoning in vision language models. CoRR Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz
2025	J	`jnl`	Un-Attributability: Computing Novelty From Retrieval & Semantic Similarity. CoRR Philipp Davydov, Ameya Prabhu, Matthias Bethge, Elisa Nguyen, Seong Joon Oh
2025	J	`jnl`	Understanding the Limits of Lifelong Knowledge Editing in LLMs. CoRR Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Tom Hartvigsen
2025	J	`jnl`	VGGSounder: Audio-Visual Evaluations for Foundation Models. CoRR Daniil Zverev, Thaddäus Wiedemer, Ameya Prabhu, Matthias Bethge, Wieland Brendel, A. Sophia Koepke
2025	J	`jnl`	Visual cognition in multimodal large language models. Nat. Mac. Intell. Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz
2025	A*	`conf`	WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs. ICML Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen
2024	J	`jnl`	A Practitioner's Guide to Continual Multimodal Pretraining. CoRR Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
2024	A*	`conf`	A Practitioner's Guide to Real-World Continual Multimodal Pretraining. NeurIPS Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
2024	A*	`conf`	Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz
2024	J	`jnl`	Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? CoRR Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz
2024	J	`jnl`	Centaur: a foundation model of human cognition. CoRR 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
2024	A*	`conf`	CiteME: Can Language Models Accurately Cite Scientific Claims? NeurIPS Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge
2024	J	`jnl`	CiteME: Can Language Models Accurately Cite Scientific Claims? CoRR Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. PLoS Comput. Biol. Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George H. Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker
2024	A*	`conf`	Does CLIP's generalization performance mainly stem from high train-test similarity? ICLR Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
2024	A*	`conf`	Efficient Lifelong Model Evaluation in an Era of Rapid Progress. NeurIPS Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
2024	J	`jnl`	How to Merge Your Multimodal Models Over Time? CoRR Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge
2024	J	`jnl`	Identifying latent state transition in non-linear dynamical systems. CoRR Çaglar Hizli, Çagatay Yildiz, Matthias Bethge, St John, Pekka Marttinen
2024	J	`jnl`	In Search of Forgotten Domain Generalization. CoRR Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
2024	—	`conf`	Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization. CoLLAs Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2024	J	`jnl`	Investigating Continual Pretraining in Large Language Models: Insights and Implications. CoRR Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis
2024	J	`jnl`	Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress. CoRR Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
2024	A*	`conf`	Most discriminative stimuli for functional cell type clustering. ICLR Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker
2024	J	`jnl`	Most discriminative stimuli for functional cell type identification. CoRR Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker
2024	A*	`conf`	No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. NeurIPS Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
2024	J	`jnl`	No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. CoRR Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
2024	J	`jnl`	ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities. CoRR Adhiraj Ghosh, Sebastian Dziadzio, Ameya Prabhu, Vishaal Udandarao, Samuel Albanie, Matthias Bethge
2024	A*	`conf`	Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli. NeurIPS Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
2024	J	`jnl`	Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli. CoRR Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
2024	A*	`conf`	Provable Compositional Generalization for Object-Centric Learning. ICLR Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
2024	—	`conf`	Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models. CoLLAs Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	J	`jnl`	Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	—	`conf`	Scale Learning in Scale-Equivariant Convolutional Networks. VISIGRAPP (2): VISAPP Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert
2024	A*	`conf`	The Entropy Enigma: Success and Failure of Entropy Minimization. ICML Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge
2024	J	`jnl`	The Entropy Enigma: Success and Failure of Entropy Minimization. CoRR Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge
2024	A*	`conf`	Visual Data-Type Understanding does not emerge from scaling Vision-Language Models. ICLR Vishaal Udandarao, Max F. Burg, Samuel Albanie, Matthias Bethge
2024	J	`jnl`	Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry. CoRR Shiven Sinha, Ameya Prabhu, Ponnurangam Kumaraguru, Siddharth Bhat, Matthias Bethge
2023	A*	`conf`	Compositional Generalization from First Principles. NeurIPS Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
2023	J	`jnl`	Compositional Generalization from First Principles. CoRR Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR 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
2023	J	`jnl`	Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2023	J	`jnl`	Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? CoRR Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
2023	J	`jnl`	Efficient coding of natural scenes improves neural system identification. PLoS Comput. Biol. Yongrong Qiu, David A. Klindt, Klaudia P. Szatko, Dominic Gonschorek, Larissa Höfling, Timm Schubert, Laura Busse, Matthias Bethge, Thomas Euler
2023	J	`jnl`	Have we built machines that think like people? CoRR Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz
2023	J	`jnl`	Invariant Neural Ordinary Differential Equations. CoRR Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
2023	J	`jnl`	Jacobian-based Causal Discovery with Nonlinear ICA. Trans. Mach. Learn. Res. Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel
2023	A*	`conf`	Modulated Neural ODEs. NeurIPS Ilze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves
2023	J	`jnl`	Playing repeated games with Large Language Models. CoRR Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
2023	J	`jnl`	Provable Compositional Generalization for Object-Centric Learning. CoRR Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
2023	A*	`conf`	RDumb: A simple approach that questions our progress in continual test-time adaptation. NeurIPS Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
2023	J	`jnl`	RDumb: A simple approach that questions our progress in continual test-time adaptation. CoRR Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
2023	J	`jnl`	Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
2023	—	`conf`	Unsupervised Object Learning via Common Fate. CLeaR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2023	J	`jnl`	Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models. CoRR Vishaal Udandarao, Max F. Burg, Samuel Albanie, Matthias Bethge
2022	—	`conf`	Disentanglement and Generalization Under Correlation Shifts. CoLLAs Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
2022	J	`jnl`	If your data distribution shifts, use self-learning. Trans. Mach. Learn. Res. Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2022	A*	`conf`	Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. ICLR Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Vincent Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
2021	J	`jnl`	Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2021	J	`jnl`	Benchmarking Unsupervised Object Representations for Video Sequences. J. Mach. Learn. Res. Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2021	J	`jnl`	Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. CoRR Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
2021	A*	`conf`	Contrastive Learning Inverts the Data Generating Process. ICML Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
2021	J	`jnl`	Contrastive Learning Inverts the Data Generating Process. CoRR Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel
2021	A*	`conf`	DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. ICCV Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
2021	J	`jnl`	Disentanglement and Generalization Under Correlation Shifts. CoRR Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
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	J	`jnl`	Learning divisive normalization in primary visual cortex. PLoS Comput. Biol. Max F. Burg, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker
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	A	`conf`	Pretraining boosts out-of-domain robustness for pose estimation. WACV Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
2021	J	`jnl`	State-of-the-Art in Human Scanpath Prediction. CoRR Matthias Kümmerer, Matthias Bethge
2021	A*	`conf`	Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. ICLR David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton
2021	J	`jnl`	Unsupervised Object Learning via Common Fate. CoRR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2021	J	`jnl`	Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. CoRR Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
2020	—	`conf`	A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. ECCV (3) Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
2020	J	`jnl`	Closing the Generalization Gap in One-Shot Object Detection. CoRR Claudio Michaelis, Matthias Bethge, Alexander S. Ecker
2020	J	`jnl`	EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy. CoRR Jonas Rauber, Matthias Bethge, Wieland Brendel
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`	Fast Differentiable Clipping-Aware Normalization and Rescaling. CoRR Jonas Rauber, Matthias Bethge
2020	J	`jnl`	Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX. J. Open Source Softw. Jonas Rauber, Roland Zimmermann, Matthias Bethge, Wieland Brendel
2020	A*	`conf`	Improving robustness against common corruptions by covariate shift adaptation. NeurIPS Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2020	J	`jnl`	Improving robustness against common corruptions by covariate shift adaptation. CoRR Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
2020	J	`jnl`	Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. CoRR Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
2020	—	`conf`	Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen
2020	—	`conf`	Measuring the Importance of Temporal Features in Video Saliency. ECCV (28) Matthias Tangemann, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
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	A*	`conf`	Rotation-invariant clustering of neuronal responses in primary visual cortex. ICLR Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker
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
2020	A*	`conf`	System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina. NeurIPS Cornelius Schröder, David A. Klindt, Sarah Strauß, Katrin Franke, Matthias Bethge, Thomas Euler, Philipp Berens
2020	J	`jnl`	The Notorious Difficulty of Comparing Human and Machine Perception. CoRR Christina M. Funke, Judy Borowski, Karolina Stosio, Wieland Brendel, Thomas S. A. Wallis, Matthias Bethge
2020	J	`jnl`	Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. CoRR David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton
2020	J	`jnl`	Towards causal generative scene models via competition of experts. CoRR Julius von Kügelgen, Ivan Ustyuzhaninov, Peter V. Gehler, Matthias Bethge, Bernhard Schölkopf
2020	J	`jnl`	Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2019	—	`conf`	A rotation-equivariant convolutional neural network model of primary visual cortex. ICLR (Poster) Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge
2019	A*	`conf`	Accurate, reliable and fast robustness evaluation. NeurIPS Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
2019	J	`jnl`	Accurate, reliable and fast robustness evaluation. CoRR Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
2019	—	`conf`	Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet. ICLR (Poster) Wieland Brendel, Matthias Bethge
2019	J	`jnl`	Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet. CoRR Wieland Brendel, Matthias Bethge
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	J	`jnl`	Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Comput. Biol. Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker
2019	—	`conf`	Excessive Invariance Causes Adversarial Vulnerability. ICLR (Poster) Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, Matthias Bethge
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
2019	J	`jnl`	Learning From Brains How to Regularize Machines. CoRR Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2019	A*	`conf`	Learning from brains how to regularize machines. NeurIPS Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias
2019	J	`jnl`	Pretraining boosts out-of-domain robustness for pose estimation. CoRR Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
2019	—	`conf`	Towards the first adversarially robust neural network model on MNIST. ICLR (Poster) Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel
2018	J	`jnl`	A rotation-equivariant convolutional neural network model of primary visual cortex. CoRR Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge
2018	J	`jnl`	Adversarial Vision Challenge. CoRR Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge
2018	J	`jnl`	Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. PLoS Comput. Biol. Philipp Berens, Jeremy Freeman, Thomas Deneux, Nicolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H. Macke, Srinivas C. Turaga, Patrick J. Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W. Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario Ringach, Jasmine Stone, Luke E. Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge
2018	—	`conf`	Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. ICLR (Poster) Wieland Brendel, Jonas Rauber, Matthias Bethge
2018	—	`conf`	Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks. ECCV (12) Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker
2018	J	`jnl`	Diverse feature visualizations reveal invariances in early layers of deep neural networks. CoRR Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker
2018	J	`jnl`	Excessive Invariance Causes Adversarial Vulnerability. CoRR Jörn-Henrik Jacobsen, Jens Behrmann, Richard S. Zemel, Matthias Bethge
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
2018	J	`jnl`	Markerless tracking of user-defined features with deep learning. CoRR Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge
2018	J	`jnl`	One-Shot Instance Segmentation. CoRR Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, Alexander S. Ecker
2018	A*	`conf`	One-Shot Segmentation in Clutter. ICML Claudio Michaelis, Matthias Bethge, Alexander S. Ecker
2018	J	`jnl`	One-Shot Segmentation in Clutter. CoRR Claudio Michaelis, Matthias Bethge, Alexander S. Ecker
2018	J	`jnl`	One-shot Texture Segmentation. CoRR Ivan Ustyuzhaninov, Claudio Michaelis, Wieland Brendel, Matthias Bethge
2018	J	`jnl`	Robust Perception through Analysis by Synthesis. CoRR Lukas Schott, Jonas Rauber, Wieland Brendel, Matthias Bethge
2018	—	`conf`	Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics. ECCV (16) Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2018	J	`jnl`	Trace your sources in large-scale data: one ring to find them all. CoRR Alexander Böttcher, Wieland Brendel, Bernhard Englitz, Matthias Bethge
2017	J	`jnl`	Comment on "Biologically inspired protection of deep networks from adversarial attacks". CoRR Wieland Brendel, Matthias Bethge
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	A*	`conf`	Controlling Perceptual Factors in Neural Style Transfer. CVPR Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman
2017	J	`jnl`	Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. CoRR Wieland Brendel, Jonas Rauber, Matthias Bethge
2017	J	`jnl`	Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models. CoRR Jonas Rauber, Wieland Brendel, Matthias Bethge
2017	J	`jnl`	Guiding human gaze with convolutional neural networks. CoRR Leon A. Gatys, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
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
2017	—	`conf`	Neural system identification for large populations separating "what" and "where". NIPS David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge
2017	J	`jnl`	Neural system identification for large populations separating "what" and "where". CoRR David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge
2017	J	`jnl`	Saliency Benchmarking: Separating Models, Maps and Metrics. CoRR Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2017	J	`jnl`	Signatures of criticality arise from random subsampling in simple population models. PLoS Comput. Biol. Marcel Nonnenmacher, Christian Behrens, Philipp Berens, Matthias Bethge, Jakob H. Macke
2017	J	`jnl`	Synthesising Dynamic Textures using Convolutional Neural Networks. CoRR Christina M. Funke, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
2017	A*	`conf`	Understanding Low- and High-Level Contributions to Fixation Prediction. ICCV Matthias Kümmerer, Thomas S. A. Wallis, Leon A. Gatys, Matthias Bethge
2017	—	`conf`	What does it take to generate natural textures? ICLR (Poster) Ivan Ustyuzhaninov, Wieland Brendel, Leon A. Gatys, Matthias Bethge
2016	A*	`conf`	A note on the evaluation of generative models. ICLR Lucas Theis, Aäron van den Oord, Matthias Bethge
2016	J	`jnl`	Controlling Perceptual Factors in Neural Style Transfer. CoRR Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman
2016	J	`jnl`	DeepGaze II: Reading fixations from deep features trained on object recognition. CoRR Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2016	A*	`conf`	Image Style Transfer Using Convolutional Neural Networks. CVPR Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
2016	J	`jnl`	Inference and mixture modeling with the Elliptical Gamma Distribution. Comput. Stat. Data Anal. Reshad Hosseini, Suvrit Sra, Lucas Theis, Matthias Bethge
2016	J	`jnl`	Preserving Color in Neural Artistic Style Transfer. CoRR Leon A. Gatys, Matthias Bethge, Aaron Hertzmann, Eli Shechtman
2016	J	`jnl`	Texture Synthesis Using Shallow Convolutional Networks with Random Filters. CoRR Ivan Ustyuzhaninov, Wieland Brendel, Leon A. Gatys, Matthias Bethge
2016	J	`jnl`	The functional diversity of retinal ganglion cells in the mouse. Nat. Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler
2015	J	`jnl`	A Generative Model of Natural Texture Surrogates. CoRR Niklas Ludtke, Debapriya Das, Lucas Theis, Matthias Bethge
2015	J	`jnl`	A Neural Algorithm of Artistic Style. CoRR Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
2015	A	`conf`	Data modeling with the elliptical gamma distribution. AISTATS Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge
2015	—	`conf`	Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet. ICLR (Workshop) Matthias Kümmerer, Lucas Theis, Matthias Bethge
2015	—	`conf`	Generative Image Modeling Using Spatial LSTMs. NIPS Lucas Theis, Matthias Bethge
2015	J	`jnl`	Generative Image Modeling Using Spatial LSTMs. CoRR Lucas Theis, Matthias Bethge
2015	—	`conf`	Texture Synthesis Using Convolutional Neural Networks. NIPS Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
2015	J	`jnl`	Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks. CoRR Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
2014	—	`ch.`	Efficient Population Coding. Encyclopedia of Computational Neuroscience Matthias Bethge
2014	J	`jnl`	How close are we to understanding image-based saliency? CoRR Matthias Kümmerer, Thomas Wallis, Matthias Bethge
2014	J	`jnl`	Slowness and Sparseness Have Diverging Effects on Complex Cell Learning. PLoS Comput. Biol. Jörn-Philipp Lies, Ralf M. Häfner, Matthias Bethge
2013	J	`jnl`	Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification. PLoS Comput. Biol. Lucas Theis, André Maia Chagas, Daniel Arnstein, Cornelius Schwarz, Matthias Bethge
2013	J	`jnl`	How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? PLoS Comput. Biol. Holly E. Gerhard, Felix A. Wichmann, Matthias Bethge
2013	J	`jnl`	Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Comput. Biol. Fabian H. Sinz, Matthias Bethge
2013	J	`jnl`	What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Comput. Fabian H. Sinz, Matthias Bethge
2012	J	`jnl`	A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. PLoS Comput. Biol. Tom Putzeys, Matthias Bethge, Felix A. Wichmann, Johan Wagemans, Robbe Goris
2012	—	`conf`	Training sparse natural image models with a fast Gibbs sampler of an extended state space. NIPS Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge
2011	J	`jnl`	Gaussian process methods for estimating cortical maps. NeuroImage Jakob H. Macke, Sebastian Gerwinn, Leonard E. White, Matthias Kaschube, Matthias Bethge
2011	J	`jnl`	In All Likelihood, Deep Belief Is Not Enough. J. Mach. Learn. Res. Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge
2011	J	`jnl`	Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data. Frontiers Comput. Neurosci. Jakob H. Macke, Philipp Berens, Matthias Bethge
2010	J	`jnl`	Bayesian inference for generalized linear models for spiking neurons. Frontiers Comput. Neurosci. Sebastian Gerwinn, Jakob H. Macke, Matthias Bethge
2010	—	`conf`	Evaluating neuronal codes for inference using Fisher information. NIPS Ralf M. Haefner, Matthias Bethge
2010	J	`jnl`	In All Likelihood, Deep Belief Is Not Enough CoRR Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge
2009	—	`conf`	A joint maximum-entropy model for binary neural population patterns and continuous signals. NIPS Sebastian Gerwinn, Philipp Berens, Matthias Bethge
2009	—	`conf`	Bayesian estimation of orientation preference maps. NIPS Jakob H. Macke, Sebastian Gerwinn, Leonard E. White, Matthias Kaschube, Matthias Bethge
2009	J	`jnl`	Bayesian population decoding of spiking neurons. Frontiers Comput. Neurosci. Sebastian Gerwinn, Jakob H. Macke, Matthias Bethge
2009	J	`jnl`	Characterization of the p-generalized normal distribution. J. Multivar. Anal. Fabian H. Sinz, Sebastian Gerwinn, Matthias Bethge
2009	J	`jnl`	Generating Spike Trains with Specified Correlation Coefficients. Neural Comput. Jakob H. Macke, Philipp Berens, Alexander S. Ecker, Andreas S. Tolias, Matthias Bethge
2009	—	`conf`	Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. NIPS Fabian H. Sinz, Eero P. Simoncelli, Matthias Bethge
2009	J	`jnl`	Natural Image Coding in V1: How Much Use Is Orientation Selectivity? PLoS Comput. Biol. Jan Eichhorn, Fabian H. Sinz, Matthias Bethge
2009	—	`conf`	Neurometric function analysis of population codes. NIPS Philipp Berens, Sebastian Gerwinn, Alexander S. Ecker, Matthias Bethge
2008	—	`conf`	The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. NIPS Fabian H. Sinz, Matthias Bethge
2007	—	`conf`	Bayesian Inference for Sparse Generalized Linear Models. ECML Matthias W. Seeger, Sebastian Gerwinn, Matthias Bethge
2007	—	`conf`	Bayesian Inference for Spiking Neuron Models with a Sparsity Prior. NIPS Sebastian Gerwinn, Jakob H. Macke, Matthias W. Seeger, Matthias Bethge
2007	—	`conf`	Near-Maximum Entropy Models for Binary Neural Representations of Natural Images. NIPS Matthias Bethge, Philipp Berens
2007	—	`conf`	Receptive Fields without Spike-Triggering. NIPS Jakob H. Macke, Guenther Zeck, Matthias Bethge
2007	—	`conf`	The independent components of natural images are perceptually dependent. Human Vision and Electronic Imaging Matthias Bethge, Thomas V. Wiecki, Felix A. Wichmann
2007	—	`conf`	Unsupervised learning of a steerable basis for invariant image representations. Human Vision and Electronic Imaging Matthias Bethge, Sebastian Gerwinn, Jakob H. Macke
2003	—	`—`	Codes and Goals of Neuronal Representations (Kodierung und Ziele neuronaler Repraesentationen) Matthias Bethge
2002	—	`conf`	Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution. NIPS Matthias Bethge, David Rotermund, Klaus Pawelzik
2002	J	`jnl`	Optimal Short-Term Population Coding: When Fisher Information Fails. Neural Comput. Matthias Bethge, David Rotermund, Klaus Pawelzik
2002	J	`jnl`	Population coding with unreliable spikes. Neurocomputing Matthias Bethge, Klaus Pawelzik
2001	J	`jnl`	Spike-frequency adaptation: Phenomenological model and experimental tests. Neurocomputing Jan Benda, Matthias Bethge, Matthias Hennig, Klaus Pawelzik, Andreas V. M. Herz
2001	J	`jnl`	Synchronous inhibition as a mechanism for unbiased selective gain control. Neurocomputing Matthias Bethge, Klaus Pawelzik
1999	J	`jnl`	Brief pauses as signals for degressing synapses. Neurocomputing Matthias Bethge, Klaus Pawelzik, Theo Geisel