![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Robert Peharz
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c32]Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur:
Probabilistic Integral Circuits. AISTATS 2024: 2143-2151 - [i24]Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz:
Rao-Blackwellising Bayesian Causal Inference. CoRR abs/2402.14781 (2024) - [i23]Tim D'Hondt, Mykola Pechenizkiy, Robert Peharz:
One-Shot Federated Learning with Bayesian Pseudocoresets. CoRR abs/2406.02177 (2024) - 2023
- [c31]Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur
, Cassio P. de Campos, Robert Peharz
:
Continuous Mixtures of Tractable Probabilistic Models. AAAI 2023: 7244-7252 - [c30]Yang Yang, Gennaro Gala, Robert Peharz:
Bayesian Structure Scores for Probabilistic Circuits. AISTATS 2023: 563-575 - [c29]Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari:
How to Turn Your Knowledge Graph Embeddings into Generative Models. NeurIPS 2023 - [i22]Yang Yang, Gennaro Gala, Robert Peharz:
Bayesian Structure Scores for Probabilistic Circuits. CoRR abs/2302.12130 (2023) - [i21]Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
:
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits. CoRR abs/2305.15944 (2023) - [i20]Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari
, Erik Quaeghebeur:
Probabilistic Integral Circuits. CoRR abs/2310.16986 (2023) - 2022
- [j5]Xiaoting Shao
, Alejandro Molina, Antonio Vergari
, Karl Stelzner, Robert Peharz
, Thomas Liebig
, Kristian Kersting
:
Conditional sum-product networks: Modular probabilistic circuits via gate functions. Int. J. Approx. Reason. 140: 298-313 (2022) - [c28]Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen:
Active Bayesian Causal Inference. NeurIPS 2022 - [i19]Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf
, Robert Peharz, Julius von Kügelgen:
Active Bayesian Causal Inference. CoRR abs/2206.02063 (2022) - [i18]Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz:
Continuous Mixtures of Tractable Probabilistic Models. CoRR abs/2209.10584 (2022) - 2021
- [c27]Steven Lang, Martin Mundt, Fabrizio Ventola, Robert Peharz, Kristian Kersting:
Elevating Perceptual Sample Quality in PCs through Differentiable Sampling. Pre-Registration Workshop @ NeurIPS 2021: 1-25 - 2020
- [c26]Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen:
Deep Structured Mixtures of Gaussian Processes. AISTATS 2020: 2251-2261 - [c25]Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani:
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. ICML 2020: 7563-7574 - [c24]Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
Joints in Random Forests. NeurIPS 2020 - [c23]Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz:
Sum-Product Network Decompilation. PGM 2020: 53-64 - [c22]Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting:
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. PGM 2020: 401-412 - [c21]Ricky Maulana Fajri, Samaneh Khoshrou, Robert Peharz, Mykola Pechenizkiy:
PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data. ECML/PKDD (5) 2020: 68-84 - [i17]Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. CoRR abs/2001.03048 (2020) - [i16]Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani:
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. CoRR abs/2004.06231 (2020) - [i15]Alvaro H. C. Correia, Robert Peharz
, Cassio P. de Campos:
Joints in Random Forests. CoRR abs/2006.14937 (2020) - [i14]Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
Towards Robust Classification with Deep Generative Forests. CoRR abs/2007.05721 (2020)
2010 – 2019
- 2019
- [c20]Antonio Vergari, Alejandro Molina
, Robert Peharz
, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
:
Automatic Bayesian Density Analysis. AAAI 2019: 5207-5215 - [c19]Marton Havasi, Robert Peharz, José Miguel Hernández-Lobato:
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters. ICLR (Poster) 2019 - [c18]Karl Stelzner, Robert Peharz, Kristian Kersting:
Faster Attend-Infer-Repeat with Tractable Probabilistic Models. ICML 2019: 5966-5975 - [c17]Ping Liang Tan, Robert Peharz:
Hierarchical Decompositional Mixtures of Variational Autoencoders. ICML 2019: 6115-6124 - [c16]Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. NeurIPS 2019: 6344-6355 - [c15]Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina
, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani:
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. UAI 2019: 334-344 - [i13]Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting:
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR abs/1901.03704 (2019) - [i12]Martin Trapp, Robert Peharz, Franz Pernkopf:
Optimisation of Overparametrized Sum-Product Networks. CoRR abs/1905.08196 (2019) - [i11]Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting:
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. CoRR abs/1905.08550 (2019) - [i10]Martin Trapp, Robert Peharz
, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. CoRR abs/1905.10884 (2019) - [i9]Martin Trapp, Robert Peharz
, Franz Pernkopf, Carl E. Rasmussen:
Deep Structured Mixtures of Gaussian Processes. CoRR abs/1910.04536 (2019) - [i8]Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz:
Sum-Product Network Decompilation. CoRR abs/1912.10092 (2019) - 2018
- [j4]Wolfgang Roth, Robert Peharz
, Sebastian Tschiatschek, Franz Pernkopf
:
Hybrid generative-discriminative training of Gaussian mixture models. Pattern Recognit. Lett. 112: 131-137 (2018) - [c14]Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina
, Kristian Kersting, Floriana Esposito:
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI 2018: 4163-4170 - [i7]Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani:
Probabilistic Deep Learning using Random Sum-Product Networks. CoRR abs/1806.01910 (2018) - [i6]Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
Automatic Bayesian Density Analysis. CoRR abs/1807.09306 (2018) - [i5]Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf:
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. CoRR abs/1809.04400 (2018) - [i4]Marton Havasi, Robert Peharz, José Miguel Hernández-Lobato:
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters. CoRR abs/1810.00440 (2018) - [i3]Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. CoRR abs/1812.02240 (2018) - 2017
- [j3]Robert Peharz
, Robert Gens, Franz Pernkopf
, Pedro M. Domingos:
On the Latent Variable Interpretation in Sum-Product Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2030-2044 (2017) - [c13]Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito:
Encoding and Decoding Representations with Sum- and Max-Product Networks. ICLR (Workshop) 2017 - [c12]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. UAI 2017 - [i2]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. CoRR abs/1710.03444 (2017) - 2016
- [c11]Florian B. Pokorny
, Robert Peharz
, Wolfgang Roth, Matthias Zöhrer, Franz Pernkopf
, Peter B. Marschik, Björn W. Schuller
:
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. INTERSPEECH 2016: 2997-3001 - [i1]Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos:
On the Latent Variable Interpretation in Sum-Product Networks. CoRR abs/1601.06180 (2016) - 2015
- [j2]Matthias Zöhrer, Robert Peharz
, Franz Pernkopf
:
Representation Learning for Single-Channel Source Separation and Bandwidth Extension. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2398-2409 (2015) - [c10]Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos:
On Theoretical Properties of Sum-Product Networks. AISTATS 2015 - [c9]Matthias Zöhrer, Robert Peharz, Franz Pernkopf:
On representation learning for artificial bandwidth extension. INTERSPEECH 2015: 791-795 - 2014
- [c8]Robert Peharz
, Georg Kapeller, Pejman Mowlaee
, Franz Pernkopf
:
Modeling speech with sum-product networks: Application to bandwidth extension. ICASSP 2014: 3699-3703 - 2013
- [c7]Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf:
The Most Generative Maximum Margin Bayesian Networks. ICML (3) 2013: 235-243 - [c6]Robert Peharz
, Bernhard C. Geiger
, Franz Pernkopf
:
Greedy Part-Wise Learning of Sum-Product Networks. ECML/PKDD (2) 2013: 612-627 - 2012
- [j1]Robert Peharz
, Franz Pernkopf
:
Sparse nonnegative matrix factorization with ℓ0-constraints. Neurocomputing 80: 38-46 (2012) - [c5]Robert Peharz
, Franz Pernkopf
:
On linear and mixmax interaction models for single channel source separation. ICASSP 2012: 249-252 - [c4]Robert Peharz, Franz Pernkopf:
Exact Maximum Margin Structure Learning of Bayesian Networks. ICML 2012 - 2011
- [c3]Michael Wohlmayr, Robert Peharz
, Franz Pernkopf
:
Efficient implementation of probabilistic multi-pitch tracking. ICASSP 2011: 5412-5415 - [c2]Robert Peharz
, Michael Wohlmayr, Franz Pernkopf
:
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. ICASSP 2011: 5416-5419 - 2010
- [c1]Robert Peharz, Michael Stark, Franz Pernkopf, Yannis Stylianou:
A factorial sparse coder model for single channel source separation. INTERSPEECH 2010: 386-389
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint