Robert Peharz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
8
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders. | Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz |
| 2025 | SYNASC | Towards SAT-Based Learning of NNF Networks. | Paul Seip, Florian Beck, Johannes Frnkranz, Clemens Hofstadler, Peter Pfeiffer, Martina Seidl, Robert Peharz, Stefan Szeider |
| 2024 | AISTATS | Probabilistic Integral Circuits. | Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur |
| 2024 | ICML | Exact Soft Analytical Side-Channel Attacks using Tractable Circuits. | Thomas Wedenig, Rishub Nagpal, Gatan Cassiers, Stefan Mangard, Robert Peharz |
| 2023 | AAAI | Continuous Mixtures of Tractable Probabilistic Models. | Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz |
| 2023 | AISTATS | Bayesian Structure Scores for Probabilistic Circuits. | Yang Yang, Gennaro Gala, Robert Peharz |
| 2020 | AISTATS | Deep Structured Mixtures of Gaussian Processes. | Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen |
| 2020 | ICML | Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. | Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani |
| 2019 | AAAI | Automatic Bayesian Density Analysis. | Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera |
| 2019 | ICLR | Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters. | Marton Havasi, Robert Peharz, Jos Miguel Hernndez-Lobato |
| 2019 | ICML | Faster Attend-Infer-Repeat with Tractable Probabilistic Models. | Karl Stelzner, Robert Peharz, Kristian Kersting |
| 2019 | ICML | Hierarchical Decompositional Mixtures of Variational Autoencoders. | Ping Liang Tan, Robert Peharz |
| 2019 | UAI | Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. | Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani |
| 2018 | AAAI | Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. | Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito |
| 2017 | ICLR | Encoding and Decoding Representations with Sum- and Max-Product Networks. | Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito |
| 2017 | UAI | Safe Semi-Supervised Learning of Sum-Product Networks. | Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl |
| 2016 | Interspeech | Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. | Florian B. Pokorny, Robert Peharz, Wolfgang Roth, Matthias Zhrer, Franz Pernkopf, Peter B. Marschik, Bjrn W. Schuller |
| 2015 | AISTATS | On Theoretical Properties of Sum-Product Networks. | Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos |
| 2015 | Interspeech | On representation learning for artificial bandwidth extension. | Matthias Zhrer, Robert Peharz, Franz Pernkopf |
| 2014 | ICASSP | Modeling speech with sum-product networks: Application to bandwidth extension. | Robert Peharz, Georg Kapeller, Pejman Mowlaee, Franz Pernkopf |
| 2013 | ICML | The Most Generative Maximum Margin Bayesian Networks. | Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf |
| 2012 | ICASSP | On linear and mixmax interaction models for single channel source separation. | Robert Peharz, Franz Pernkopf |
| 2012 | ICML | Exact Maximum Margin Structure Learning of Bayesian Networks. | Robert Peharz, Franz Pernkopf |
| 2011 | ICASSP | Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. | Robert Peharz, Michael Wohlmayr, Franz Pernkopf |
| 2011 | ICASSP | Efficient implementation of probabilistic multi-pitch tracking. | Michael Wohlmayr, Robert Peharz, Franz Pernkopf |
| 2010 | Interspeech | A factorial sparse coder model for single channel source separation. | Robert Peharz, Michael Stark, Franz Pernkopf, Yannis Stylianou |