Bernd Gutmann
Artificial Intelligence · 2008–2011
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #16,194 of 35,345 by trust here, #20,836 by citations
Whom Bernd Gutmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George Marsaglia
- Jue Wang
- Nilesh N. Dalvi
- Pedro M. Domingos
- Lawrence K. Saul
- Kristian Kersting
- Dan Suciu
- Luc De Raedt
- Parag Singla
- Tommi S. Jaakkola
Who trusts Bernd Gutmann overall
- Angelika Kimmig
- Luc De Raedt
- Robin Manhaeve
- Irma Ravkic
- Luciano Serafini
- Ivan Donadello
- Guy Van den Broeck
- Sebastijan Dumancic
Papers from Bernd Gutmann's perspective
Ordered by how strongly the researchers Bernd Gutmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Probabilistic reasoning in intelligent systems - networks of plausible inference
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Policy Gradient Methods for Reinforcement Learning with Function Approximation
- Attention is All you Need (Neural Information Processing Systems)
- Discriminative Probabilistic Models for Relational Data (Conference on Uncertainty in Artificial Intelligence)
- Learning Probabilistic Relational Models
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Extending ProbLog with Continuous Distributions (2010) — 60 citations
- Parameter Learning in Probabilistic Databases: A Least Squares Approach (2008) — 74 citations
- Gradient-based boosting for statistical relational learning: The relational dependency network case (2011) — 157 citations