← Authors

Matthias Bethge

71 papers · 2007–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸ—ΊοΈ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (28) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ⚑ Prolific Year (11) ❓ The Questioner (5) πŸ’Ž Century Club (71) πŸ—ƒοΈ Keyword Collector (84)

Conferences

NIPS (28) ICLR (16) ICML (7) ECCV (4) ICCV (4) CVPR (3) JMLR (3) WACV (2) ACL (1) AISTATS (1) CLEAR (1) EMNLP (1)

Top co-authors

Wieland Brendel (20) Ameya Prabhu (8) Matthias KΓΌmmerer (8) Vishaal Udandarao (7) ThaddΓ€us Wiedemer (6) Samuel Albanie (6) Alexander S. Ecker (6) Sebastian Gerwinn (5) Robert Geirhos (5) Steffen Schneider (5)

Keywords

convolutional neural network (6) benchmark evaluation (5) domain adaptation (5) foundation model (4) neural network (4) neural population (4) image generation (4) generative model (4) multimodal learning (3) image modeling (3) neural coding (3) visual cortex (3) natural image modeling (3) population coding (3) natural images (3) sensory coding (3) object detection (2) image classification (2) self-supervised learning (2) representation learning (2)

Papers

Isolating the Role of Temporal Information in Video Saliency: A Controlled Experimental Analysis WACV 2026
VGGSounder: Audio-Visual Evaluations for Foundation Models ICCV 2025
How to Merge Your Multimodal Models Over Time? CVPR 2025
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs ICML 2025
Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models ICML 2025
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws ICML 2025
Great Models Think Alike and this Undermines AI Oversight ICML 2025
Modeling Saliency Dataset Bias ICCV 2025
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities ACL 2025
In Search of Forgotten Domain Generalization ICLR 2025
Identifying latent state transitions in non-linear dynamical systems ICLR 2025
CiteME: Can Language Models Accurately Cite Scientific Claims? NIPS 2024
The Entropy Enigma: Success and Failure of Entropy Minimization ICML 2024
Most discriminative stimuli for functional cell type clustering ICLR 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NIPS 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress NIPS 2024
A Practitioner's Guide to Real-World Continual Multimodal Pretraining NIPS 2024
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli NIPS 2024
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models ICLR 2024
Does CLIP’s generalization performance mainly stem from high train-test similarity? ICLR 2024
Provable Compositional Generalization for Object-Centric Learning ICLR 2024
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP 2024
Modulated Neural ODEs NIPS 2023
Unsupervised Object Learning via Common Fate CLEAR 2023
Compositional Generalization from First Principles NIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation NIPS 2023
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain ICLR 2022
DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling ICCV 2021
Contrastive Learning Inverts the Data Generating Process ICML 2021
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding ICLR 2021
Partial success in closing the gap between human and machine vision NIPS 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? NIPS 2021
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization ICLR 2021
Benchmarking Unsupervised Object Representations for Video Sequences JMLR 2021
Pretraining Boosts Out-of-Domain Robustness for Pose Estimation WACV 2021
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions ECCV 2020
Rotation-invariant clustering of neuronal responses in primary visual cortex ICLR 2020
Measuring the Importance of Temporal Features in Video Saliency ECCV 2020
Improving robustness against common corruptions by covariate shift adaptation NIPS 2020
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina NIPS 2020
Accurate, reliable and fast robustness evaluation NIPS 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet ICLR 2019
A rotation-equivariant convolutional neural network model of primary visual cortex ICLR 2019
Excessive Invariance Causes Adversarial Vulnerability ICLR 2019
Towards the first adversarially robust neural network model on MNIST ICLR 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness ICLR 2019
Learning from brains how to regularize machines NIPS 2019
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models ICLR 2018
Generalisation in humans and deep neural networks NIPS 2018
Diverse feature visualizations reveal invariances in early layers of deep neural networks ECCV 2018
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics ECCV 2018
One-Shot Segmentation in Clutter ICML 2018
Understanding Low- and High-Level Contributions to Fixation Prediction ICCV 2017
Controlling Perceptual Factors in Neural Style Transfer CVPR 2017
Neural system identification for large populations separating β€œwhat” and β€œwhere” NIPS 2017
Image Style Transfer Using Convolutional Neural Networks CVPR 2016
Data modeling with the elliptical gamma distribution AISTATS 2015
Texture Synthesis Using Convolutional Neural Networks NIPS 2015
Generative Image Modeling Using Spatial LSTMs NIPS 2015
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
Evaluating neuronal codes for inference using Fisher information NIPS 2010
-Nested Symmetric Distributions JMLR 2010
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009
Neurometric function analysis of population codes NIPS 2009
Bayesian estimation of orientation preference maps NIPS 2009
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NIPS 2008
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007