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

Empirical Inference Probabilistic Learning Group Conference Paper Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., Kersting, K., Ghahramani, Z. Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), 115:334-344, Proceedings of Machine Learning Research, (Editors: Adams, Ryan P. and Gogate, Vibhav), PMLR, July 2019 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Automatic Bayesian Density Analysis Vergari, A., Molina, A., Peharz, R., Ghahramani, Z., Kersting, K., Valera, I. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-19), 33:01, 5207-5215, AAAI.org, AAAI-19, January 2019 (Published) arXiv DOI BibTeX

Empirical Inference Probabilistic Learning Group Article Fairness Constraints: A Flexible Approach for Fair Classification Zafar, M. B., Valera, I., Gomez-Rodriguez, M., Gummadi, K. P. Journal of Machine Learning Research, 20(75):1-42, 2019 (Published) URL BibTeX

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