Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

Career

Award

BibTeX

Robust Machine Learning Conference Paper Cross-Entropy Is All You Need To Invert the Data Generating Process Reizinger, P., Bizeul, A., Juhos, A., Vogt, J. E., Balestriero, R., Brendel, W., Klindt, D. In January 2025 (Published) OpenReview BibTeX

Robust Machine Learning Conference Paper Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning Reizinger, P., Guo, S., Huszár, F., Schölkopf, B., Brendel, W. In January 2025 (Published) OpenReview BibTeX

Robust Machine Learning Conference Paper In Search of Forgotten Domain Generalization Mayilvahanan, P., Zimmermann, R. S., Wiedemer, T., Rusak, E., Juhos, A., Bethge, M., Brendel, W. In January 2025 (Published) OpenReview BibTeX

Robust Machine Learning Conference Paper Interaction Asymmetry: A General Principle for Learning Composable Abstractions Brady, J., von Kügelgen, J., Lachapelle, S., Buchholz, S., Kipf, T., Brendel, W. In January 2025 (Published) OpenReview BibTeX

Robust Machine Learning Conference Paper Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts Mészáros, A., Ujváry, S., Brendel, W., Reizinger, P., Huszár, F. In September 2024 (Published) ArXiv BibTeX

Robust Machine Learning Conference Paper Does CLIP’s Generalization Performance Mainly Stem from High Train-Test Similarity? Mayilvahanan, P., Wiedemer, T., Rusak, E., Bethge, M., Brendel, W. In June 2024 (Published) ArXiv BibTeX

Robust Machine Learning Conference Paper Don’t trust your eyes: on the (un) reliability of feature visualizations Geirhos, R., Zimmermann, R. S., Bilodeau, B., Brendel, W., Kim, B. In June 2024 (Published) ArXiv BibTeX

Robust Machine Learning Conference Paper Effective pruning of web-scale datasets based on complexity of concept clusters Abbas, A., Rusak, E., Tirumala, K., Brendel, W., Chaudhuri, K., Morcos, A. S. In January 2024 (Published) ArXiv BibTeX

Robust Machine Learning Conference Paper InfoNCE: Identifying the Gap Between Theory and Practice Rusak, E., Reizinger, P., Juhos, A., Bringmann, O., Zimmermann, R. S., Brendel, W. In July 2024 (Published) BibTeX

Robust Machine Learning Conference Paper Measuring Per-Unit Interpretability at Scale Without Humans Klindt, D., Zimmermann, R., Brendel, W. In September 2024 (Published) OpenReview BibTeX

Robust Machine Learning Conference Paper Scale Alone Does not Improve Mechanistic Interpretability in Vision Models Zimmermann, R. S., Klein, T., Brendel, W. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :57876 - 57907, Curran Associates Inc., NeurIPS, October 2023 (Published) NeurIPS Proceedings DOI URL BibTeX

Robust Machine Learning Conference Paper Compositional Generalization from First Principles Wiedemer, T., Mayilvahanan, P., Bethge, M., Brendel, W. In July 2023 (Published) NeurIPS Proceedings BibTeX

Robust Machine Learning Conference Paper Provable Compositional Generalization for Object-Centric Learning Wiedemer, T., Brady, J., Panfilov, A., Juhos, A., Bethge, M., Brendel, W. In October 2023 (Published) ArXiv BibTeX

Publications

Filter by