Guy Van den Broeck
About
In The Last Decade
Guy Van den Broeck
87 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 1.1k
- Signal Processing 182
- Computer Networks and Communications 165
- Computational Theory and Mathematics 152
- Management Science and Operations Research 113
Countries citing papers authored by Guy Van den Broeck
This map shows the geographic impact of Guy Van den Broeck's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guy Van den Broeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Van den Broeck more than expected).
Fields of papers citing papers by Guy Van den Broeck
This network shows the impact of papers produced by Guy Van den Broeck. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guy Van den Broeck. The network helps show where Guy Van den Broeck may publish in the future.
Co-authorship network of co-authors of Guy Van den Broeck
This figure shows the co-authorship network connecting the top 25 collaborators of Guy Van den Broeck. A scholar is included among the top collaborators of Guy Van den Broeck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guy Van den Broeck. Guy Van den Broeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On the Tractability of SHAP Explanations breakdown → | 208 |
| 2 | Strudel: Learning Structured-Decomposable Probabilistic Circuits. | 5 |
| 3 | SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning | 2 |
| 4 | Efficient Search-Based Weighted Model Integration. | 1 |
| 5 | LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. | 5 |
| 6 | Learning the Structure of Probabilistic Sentential Decision Diagrams | 25 |
| 7 | A Semantic Loss Function for Deep Learning Under Weak Supervision | 1 |
| 8 | Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. | 66 |
| 9 | Open−World Probabilistic Databases (Extended Abstract) | 1 |
| 10 | Probability Distributions over Structured Spaces. | 0 |
| 11 | Inducing probabilistic relational rules from probabilistic examples | 28 |
| 12 | Towards High-Level Probabilistic Reasoning with Lifted Inference | 1 |
| 13 | Tractable learning for complex probability queries | 18 |
| 14 | Probabilistic sentential decision diagrams: Learning with massive logical constraints | 6 |
| 15 | An Efficient Method for Bayesian Network Parameter Learning from Incomplete Data | 3 |
| 16 | Lifted probabilistic inference: A guide for the database researcher | 4 |
| 17 | Efficient probabilistic inference for dynamic relational models | 1 |
| 18 | 87 | |
| 19 | Automatic discretization of actions and states in Monte-Carlo tree search | 6 |
| 20 | On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference | 54 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.