Edwin V. Bonilla

6.1k total citations · 2 hit papers
37 papers, 4.3k citations indexed

About

Edwin V. Bonilla is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Edwin V. Bonilla has authored 37 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 11 papers in Hardware and Architecture and 7 papers in Computational Theory and Mathematics. Recurrent topics in Edwin V. Bonilla's work include Gaussian Processes and Bayesian Inference (16 papers), Parallel Computing and Optimization Techniques (11 papers) and Machine Learning and Data Classification (8 papers). Edwin V. Bonilla is often cited by papers focused on Gaussian Processes and Bayesian Inference (16 papers), Parallel Computing and Optimization Techniques (11 papers) and Machine Learning and Data Classification (8 papers). Edwin V. Bonilla collaborates with scholars based in Australia, United Kingdom and France. Edwin V. Bonilla's co-authors include Christopher K. I. Williams, Kian Ming A. Chai, Michael O’Boyle, Grigori Fursin, Felix Agakov, Olivier Temam, John Cavazos, John Thomson, Christophe Dubach and Hugh Leather and has published in prestigious journals such as Journal of Machine Learning Research, International Journal of Parallel Programming and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Edwin V. Bonilla

35 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in Neural Information Processing Systems 20

2008 2.2k citations Edwin V. Bonilla, Kian Ming A. Chai et al. Neural Information Processing Systems profile →
Multi-task Gaussian Process Prediction

2007 513 citations Edwin V. Bonilla, Kian Ming A. Chai et al. Edinburgh Research Explorer profile →

Peers

Countries citing papers authored by Edwin V. Bonilla

Since Specialization

Citations

This map shows the geographic impact of Edwin V. Bonilla'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 Edwin V. Bonilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin V. Bonilla more than expected).

Fields of papers citing papers by Edwin V. Bonilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin V. Bonilla. 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 Edwin V. Bonilla. The network helps show where Edwin V. Bonilla may publish in the future.

Co-authorship network of co-authors of Edwin V. Bonilla

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin V. Bonilla. A scholar is included among the top collaborators of Edwin V. Bonilla 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 Edwin V. Bonilla. Edwin V. Bonilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Distribution Regression for Sequential Data 2021 ·Warwick Research Archive Portal (University of Warwick) ·(unknown), (unknown), Theodoros Damoulas, Edwin V. Bonilla, Terry Lyons	0
2	Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings 2020 ·Neural Information Processing Systems ·Pantelis Elinas, Edwin V. Bonilla, (unknown)	8
3	Generic Inference in Latent Gaussian Process Models 2019 ·Journal of Machine Learning Research ·Edwin V. Bonilla, Karl Krauth, Amir Dezfouli	3
4	Variational Spectral Graph Convolutional Networks. 2019 ·arXiv (Cornell University) ·(unknown), Pantelis Elinas, Harrison Nguyen, Edwin V. Bonilla	6
5	Scalable inference for Gaussian process models with black-box likelihoods 2015 ·Neural Information Processing Systems ·Amir Dezfouli, Edwin V. Bonilla	18
6	Collaborative multi-output Gaussian processes 2014 ·ANU Open Research (Australian National University) ·(unknown), Edwin V. Bonilla	29
7	Extended and Unscented Gaussian Processes 2014 ·Neural Information Processing Systems ·Daniel Steinberg, Edwin V. Bonilla	3
8	Fast Allocation of Gaussian Process Experts 2014 ·International Conference on Machine Learning ·(unknown), Edwin V. Bonilla	26
9	Automated Variational Inference for Gaussian Process Models 2014 ·Neural Information Processing Systems ·(unknown), Edwin V. Bonilla	10
10	Efficient Variational Inference for Gaussian Process Regression Networks 2013 ·International Conference on Artificial Intelligence and Statistics ·(unknown), Edwin V. Bonilla	11
11	Bayesian joint inversions for the exploration of earth resources 2013 ·International Joint Conference on Artificial Intelligence ·(unknown), Simon O’Callaghan, Edwin V. Bonilla, (unknown), Tim Rawling, Fábio Ramos	7
12	Learning community-based preferences via dirichlet process mixtures of Gaussian processes 2013 ·ANU Open Research (Australian National University) ·Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart	13
13	Dynamic microarchitectural adaptation using machine learning 2013 ·ACM Transactions on Architecture and Code Optimization ·Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla	14
14	Improving Topic Coherence with Regularized Topic Models 2011 ·ANU Open Research (Australian National University) ·David Newman, Edwin V. Bonilla, Wray Buntine	109
15	Gaussian Process Preference Elicitation 2010 ·Neural Information Processing Systems ·Shengbo Guo, Scott Sanner, Edwin V. Bonilla	38
16	Advances in Neural Information Processing Systems 20 breakdown → 2008 ·Neural Information Processing Systems ·Edwin V. Bonilla, Kian Ming A. Chai, Christopher K. I. Williams	2243
17	Kernel Multi-task Learning using Task-specific Features 2007 ·Edinburgh Research Explorer (University of Edinburgh) ·Edwin V. Bonilla, Felix Agakov, Christopher K. I. Williams	51
18	Code Generation and Optimization, 2007. CGO '07. International Symposium on 2007 ·John Cavazos, Grigori Fursin, Felix Agakov, Edwin V. Bonilla, Michael O’Boyle, Olivier Temam	102
19	Multi-task Gaussian Process Prediction breakdown → 2007 ·Edinburgh Research Explorer ·Edwin V. Bonilla, Kian Ming A. Chai, Christopher K. I. Williams	513
20	Automatic performance model construction for the fast software exploration of new hardware designs 2006 ·John Cavazos, Christophe Dubach, Felix Agakov, Edwin V. Bonilla, Michael O’Boyle, Grigori Fursin, Olivier Temam	62

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.

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