Rudy Bunel

1.2k total citations
13 papers, 175 citations indexed

About

Rudy Bunel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Rudy Bunel has authored 13 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Rudy Bunel's work include Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Software Testing and Debugging Techniques (3 papers). Rudy Bunel is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Software Testing and Debugging Techniques (3 papers). Rudy Bunel collaborates with scholars based in United Kingdom, United States and Australia. Rudy Bunel's co-authors include Pushmeet Kohli, Philip H. S. Torr, Krishnamurthy Dvijotham, Sven Gowal, Timothy Mann, Jonathan Uesato, Relja Arandjelović, Robert Stanforth, Chongli Qin and Philip H. S. Torr and has published in prestigious journals such as SIAM Journal on Imaging Sciences, IEEE Control Systems Letters and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Rudy Bunel

12 papers receiving 168 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rudy Bunel United Kingdom	5	145	52	25	22	16	13	175
Peter C. Dillinger United States	5	47 0.3×	24 0.5×	18 0.7×	30 1.4×	16 1.0×	12	104
Panagiotis Kouvaros United Kingdom	9	154 1.1×	21 0.4×	10 0.4×	22 1.0×	7 0.4×	18	190
Guillermo A. Pérez Belgium	6	76 0.5×	15 0.3×	12 0.5×	25 1.1×	25 1.6×	23	130
Renaud Pacalet France	9	113 0.8×	39 0.8×	47 1.9×	11 0.5×	127 7.9×	28	194
Hongce Zhang Hong Kong	8	61 0.4×	8 0.2×	50 2.0×	32 1.5×	72 4.5×	22	174
Pavel Moravec Czechia	7	80 0.6×	33 0.6×	10 0.4×	20 0.9×	3 0.2×	27	158
Aurko Roy United States	5	222 1.5×	85 1.6×	41 1.6×	2 0.1×	15 0.9×	7	267
Viktor Prasanna United States	5	89 0.6×	30 0.6×	32 1.3×	6 0.3×	64 4.0×	29	172
Marc F. Witteman Netherlands	5	154 1.1×	24 0.5×	70 2.8×	18 0.8×	137 8.6×	7	221
Patrik Ekdahl Sweden	6	160 1.1×	98 1.9×	46 1.8×	2 0.1×	17 1.1×	11	195

Countries citing papers authored by Rudy Bunel

Since Specialization

Citations

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

Fields of papers citing papers by Rudy Bunel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rudy Bunel. 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 Rudy Bunel. The network helps show where Rudy Bunel may publish in the future.

Co-authorship network of co-authors of Rudy Bunel

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Everett, Michael, Rudy Bunel, & Shayegan Omidshafiei. (2023). DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops. IEEE Control Systems Letters. 7. 1622–1627. 3 indexed citations

Behl, Harkirat, et al.. (2021). Scaling the Convex Barrier with Active Sets. Oxford University Research Archive (ORA) (University of Oxford). 5 indexed citations

Dathathri, Sumanth, Krishnamurthy Dvijotham, Robert Stanforth, et al.. (2021). Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. arXiv (Cornell University). 34. 2 indexed citations

Bunel, Rudy, Oliver Hinder, Srinadh Bhojanapalli, & Krishnamurthy Dvijotham. (2020). An efficient nonconvex reformulation of stagewise convex optimization problems. Neural Information Processing Systems. 33. 8247–8258. 1 indexed citations

Gowal, Sven, Krishnamurthy Dvijotham, Robert Stanforth, et al.. (2019). Scalable Verified Training for Provably Robust Image Classification. 4841–4850. 64 indexed citations

Wang, Chenglong, Rudy Bunel, Krishnamurthy Dvijotham, et al.. (2019). Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. 12252–12261. 3 indexed citations

Desmaison, Alban, Thalaiyasingam Ajanthan, Rudy Bunel, et al.. (2019). Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. SIAM Journal on Imaging Sciences. 12(1). 287–318. 2 indexed citations

Bunel, Rudy, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, & Pushmeet Kohli. (2018). Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. arXiv (Cornell University). 17 indexed citations

Bunel, Rudy, et al.. (2017). Piecewise Linear Neural Networks verification: A comparative study. arXiv (Cornell University). 16 indexed citations

10.

Ajanthan, Thalaiyasingam, Alban Desmaison, Rudy Bunel, et al.. (2017). Efficient Linear Programming for Dense CRFs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2934–2942. 4 indexed citations

11.

Bunel, Rudy, et al.. (2017). A Unified View of Piecewise Linear Neural Network Verification. arXiv (Cornell University). 31. 4790–4799. 51 indexed citations

12.

Bunel, Rudy, Alban Desmaison, Manish Kumar, Philip H. S. Torr, & Pushmeet Kohli. (2016). Learning to superoptimize programs. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

13.

Bunel, Rudy, Alban Desmaison, Pushmeet Kohli, Philip H. S. Torr, & Manish Kumar. (2016). Adaptive neural compilation. Oxford University Research Archive (ORA) (University of Oxford). 29. 1452–1460. 4 indexed citations

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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