Research output per year
Research output per year
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Dive into the research topics where Robert Peharz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Active Bayesian Causal Inference
Toth, C., Lorch, L., Knoll, C., Krause, A., Pernkopf, F., Peharz, R. & von Kügelgen, J., 2022, (Accepted/In press) NeurIPS 2022 .Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Conditional sum-product networks: Modular probabilistic circuits via gate functions
Shao, X., Molina, A., Vergari, A., Stelzner, K., Peharz, R., Liebig, T. & Kersting, K., 2022, In: International Journal of Approximate Reasoning . 140, p. 298-313 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Elevating Perceptual Sample Quality in PCs through Differentiable Sampling
Lang, S., Mundt, M., Ventola, F., Peharz, R. & Kersting, K., 1 Jan 2022, In: Proceedings of Machine Learning Research. 181, 25 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
Shao, X., Molina, A., Vergari, A., Stelzner, K., Peharz, R., Liebig, T. & Kersting, K., 2020, In: Proceedings of Machine Learning Research. 138, p. 401-412Research output: Contribution to journal › Conference article › peer-review
Open Access -
Deep Structured Mixtures of Gaussian Processes
Trapp, M., Peharz, R., Pernkopf, F. & Rassmusen, C., 2020, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR108. Vol. 108. p. 2251-2261 (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Activities
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Exact and Efficient Adversarial Robustness with Decomposable Neural Networks
Robert Peharz (Speaker)
19 Apr 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Dagstuhl Seminar on Recent Advancements in Tractable Probabilistic Inference
Robert Peharz (Participant)
18 Apr 2022 → 22 Apr 2022Activity: Participation in or organisation of › Workshop, seminar or course (Participation in/Organisation of)
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Probabilistic Circuits: Representations, Inference, Learning and Applications
Antonio Vergari (Speaker), Robert Peharz (Speaker) & YooJung Choi (Speaker)
5 Dec 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Neuro Causal and Symbolic AI Workshop @ the 36th Neural Information Processing Systems Conference
Matej Zečević (Organiser), Devendra Singh Dhami (Organiser), Christina Winkler (Organiser), Thomas Kipf (Organiser), Robert Peharz (Organiser) & Petar Veličković (Organiser)
9 Dec 2022Activity: Participation in or organisation of › Workshop, seminar or course (Participation in/Organisation of)
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Active Bayesian Causal Inference
Christian Toth (Speaker), Christian Knoll (Speaker) & Robert Peharz (Speaker)
29 Nov 2022Activity: Talk or presentation › Poster presentation › Science to science
Prizes
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Interspeech: Best Paper invited to SPECOM
Pernkopf, Franz (Recipient), Peharz, Robert (Recipient), Stylianou, Yannis (Recipient) & Stark, Michael (Recipient), 20 Sept 2010
Prize: Prizes / Medals / Awards
Projects
- 1 Finished
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FWF-DLGM - Discriminative Learning of Graphical Models with Application to Speech and Image Processing (FWF P222488-N23)
Peharz, R., Tschiatschek, S. & Pernkopf, F.
14/06/10 → 13/01/14
Project: Research project