Lars Buesing
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
Papers in
-
- Neural dynamics and brain function 16
- Functional Brain Connectivity Studies 4
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- Reinforcement Learning in Robotics 7
- Neural Networks and Applications 6
- Neural Networks and Reservoir Computing 3
- Artificial Intelligence in Games 3
- Co-authors
- Wolfgang MaassBernhard NesslerJohannes BillMichael PfeifferJakob H. MackeManeesh SahaniDejan PecevskiJohn P. Cunningham
- Journals
- PLoS Computational Biology (3 papers)Neural Computation (2 papers)PLoS ONE (2 papers)Artificial Intelligence (1 paper)Representation Theory of the American Mathematical Society (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Lars Buesing
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 628
- Artificial Intelligence 463
- Cellular and Molecular Neuroscience 222
- General Decision Sciences 20
- Statistical and Nonlinear Physics 122
Countries citing papers authored by Lars Buesing
This map shows the geographic impact of Lars Buesing'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 Lars Buesing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Buesing more than expected).
Fields of papers citing papers by Lars Buesing
This network shows the impact of papers produced by Lars Buesing. 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 Lars Buesing. The network helps show where Lars Buesing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lars Buesing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | On the role of planning in model-based deep reinforcement learning | 2021 | 10 |
| 2 | Advancing mathematics by guiding human intuition with AI Hit paper breakdown → | 2021 | 243 |
| 3 | Value-driven Hindsight Modelling | 2020 | 1 |
| 4 | Combining Q-Learning and Search with Amortized Value Estimates | 2020 | 6 |
| 5 | 2019 | 3 | |
| 6 | Learning Dynamic State Abstractions for Model-Based Reinforcement Learning | 2018 | 1 |
| 7 | Imagination-Augmented Agents for Deep Reinforcement Learning | 2017 | 49 |
| 8 | Fast amortized inference of neural activity from calcium imaging data with variational autoencoders | 2017 | 6 |
| 9 | Bayesian manifold learning: the Locally Linear Latent Variable Model | 2015 | 1 |
| 10 | High-dimensional neural spike train analysis with generalized count linear dynamical systems | 2015 | 11 |
| 11 | 2015 | 8 | |
| 12 | Inferring neural population dynamics from multiple partial recordings of the same neural circuit | 2013 | 15 |
| 13 | 2013 | 187 | |
| 14 | Empirical models of spiking in neural populations | 2011 | 90 |
| 15 | 2011 | 9 | |
| 16 | 2011 | 229 | |
| 17 | 2011 | 74 | |
| 18 | 2009 | 9 | |
| 19 | On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing | 2008 | 27 |
| 20 | Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons | 2007 | 5 |
About Lars Buesing
Lars Buesing is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Statistical and Nonlinear Physics, Discrete Mathematics and Combinatorics and Geometry and Topology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Advanced Memory and Neural Computing (8 papers), Reinforcement Learning in Robotics (7 papers), Neural Networks and Applications (6 papers), Functional Brain Connectivity Studies (4 papers), Neural Networks and Reservoir Computing (3 papers), stochastic dynamics and bifurcation (3 papers) and Artificial Intelligence in Games (3 papers). The work is most often cited by research in Cognitive Neuroscience (628 citations), Artificial Intelligence (463 citations), Cellular and Molecular Neuroscience (222 citations), General Decision Sciences (20 citations) and Statistical and Nonlinear Physics (122 citations). Lars Buesing has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Wolfgang Maass, Bernhard Nessler, Johannes Bill, Michael Pfeiffer, Jakob H. Macke, Maneesh Sahani, Dejan Pecevski, John P. Cunningham, Demis Hassabis and Peter Battaglia. Their work appears in journals such as PLoS Computational Biology, Neural Computation, PLoS ONE, Artificial Intelligence and Representation Theory of the American Mathematical Society.
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.