• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 64 matches

• 2024
• 
  Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
  Resource-Efficient Neural Networks for Embedded Systems. J. Mach. Learn. Res. 25: 50:1-50:51 (2024)
• 
  Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur:
  Probabilistic Integral Circuits. AISTATS 2024: 2143-2151
• 
  Thomas Wedenig, Rishub Nagpal, Gaëtan Cassiers, Stefan Mangard, Robert Peharz:
  Exact Soft Analytical Side-Channel Attacks using Tractable Circuits. ICML 2024
• 
  Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz:
  Rao-Blackwellising Bayesian Causal Inference. CoRR abs/2402.14781 (2024)
• 
  Tim D'Hondt, Mykola Pechenizkiy, Robert Peharz:
  One-Shot Federated Learning with Bayesian Pseudocoresets. CoRR abs/2406.02177 (2024)
• 
  Lorenzo Loconte, Antonio Mari, Gennaro Gala, Robert Peharz, Cassio de Campos, Erik Quaeghebeur, Gennaro Vessio, Antonio Vergari:
  What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? CoRR abs/2409.07953 (2024)
• 2023
• 
  Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz:
  Continuous Mixtures of Tractable Probabilistic Models. AAAI 2023: 7244-7252
• 
  Yang Yang, Gennaro Gala, Robert Peharz:
  Bayesian Structure Scores for Probabilistic Circuits. AISTATS 2023: 563-575
• 
  Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari:
  How to Turn Your Knowledge Graph Embeddings into Generative Models. NeurIPS 2023
• 
  Yang Yang, Gennaro Gala, Robert Peharz:
  Bayesian Structure Scores for Probabilistic Circuits. CoRR abs/2302.12130 (2023)
• 
  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)
• 
  Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur:
  Probabilistic Integral Circuits. CoRR abs/2310.16986 (2023)
• 2022
• 
  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)
• 
  Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen:
  Active Bayesian Causal Inference. NeurIPS 2022
• 
  Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen:
  Active Bayesian Causal Inference. CoRR abs/2206.02063 (2022)
• 
  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
• 
  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
• 
  Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen:
  Deep Structured Mixtures of Gaussian Processes. AISTATS 2020: 2251-2261
• 
  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
• 
  Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
  Joints in Random Forests. NeurIPS 2020
• 
  Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz:
  Sum-Product Network Decompilation. PGM 2020: 53-64
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
  Joints in Random Forests. CoRR abs/2006.14937 (2020)
• 
  Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos:
  Towards Robust Classification with Deep Generative Forests. CoRR abs/2007.05721 (2020)
• 2019
• 
  Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
  Automatic Bayesian Density Analysis. AAAI 2019: 5207-5215
• 
  Marton Havasi, Robert Peharz, José Miguel Hernández-Lobato:
  Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters. ICLR (Poster) 2019
• 
  Karl Stelzner, Robert Peharz, Kristian Kersting:
  Faster Attend-Infer-Repeat with Tractable Probabilistic Models. ICML 2019: 5966-5975

skipping 34 more matches