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
AI
Career
Award
Empirical Inference
Robust Machine Learning
Conference Paper
Position: Understanding LLMs Requires More Than Statistical Generalization
Reizinger, P., Ujváry, S., Mészáros, A., Kerekes, A., Brendel, W., Huszár, F.
Proceedings of the 41st International Conference on Machine Learning (ICML), 235:42365-42390, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published)
arXiv
URL
BibTeX
Robust Machine Learning
Conference Paper
An interventional perspective on identifiability in gaussian lti systems with independent component analysis
Rajendran, G., Reizinger, P., Brendel, W., Ravikumar, P. K.
:41-70, Causal Learning and Reasoning, March 2024 (Published)
PMLR
BibTeX
Empirical Inference
Robust Machine Learning
Conference Paper
Desiderata for Representation Learning from Identifiability, Disentanglement, and Group-Structuredness
Keurti, H., Reizinger, P., Schölkopf, B., Brendel, W.
2nd Annual Topology, Algebra, and Geometry in Machine Learning (TAG) at ICML 2023, July 2023 (Published)
URL
BibTeX
Empirical Inference
Robust Machine Learning
Conference Paper
Provably Learning Object-Centric Representations
Brady*, J., Zimmermann*, R. S., Sharma, Y., Schölkopf, B., von Kügelen, J., Brendel, W.
Proceedings of the 40th International Conference on Machine Learning (ICML), 202:3038-3062, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), JMLR, Cambridge, MA, July 2023, *equal contribution (Published)
URL
BibTeX
Empirical Inference
Autonomous Learning
Robust Machine Learning
Conference Paper
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Reizinger*, P., Gresele*, L., Brady*, J., von Kügelgen, J., Zietlow, D., Schölkopf, B., Martius, G., Brendel, W., Besserve, M.
Advances in Neural Information Processing Systems (NeurIPS 2022), 35:12040-12057, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems, December 2022, *equal first authorship (Published)
Arxiv
PDF
URL
BibTeX