Junier B. Oliva

608 total citations
23 papers, 116 citations indexed

About

Junier B. Oliva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Junier B. Oliva has authored 23 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Statistics and Probability. Recurrent topics in Junier B. Oliva's work include Statistical Methods and Inference (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Junier B. Oliva is often cited by papers focused on Statistical Methods and Inference (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Junier B. Oliva collaborates with scholars based in United States, Taiwan and Cameroon. Junier B. Oliva's co-authors include Jeff Schneider, Barnabás Póczos, Kirthevasan Kandasamy, Gautam Dasarathy, Gedas Bertasius, Eric P. Xing, Avinava Dubey, Andrew Gordon Wilson, Eunbyung Park and Shirley Ho and has published in prestigious journals such as Psychology of Addictive Behaviors, Journal of Computational and Graphical Statistics and npj Digital Medicine.

In The Last Decade

Junier B. Oliva

22 papers receiving 110 citations

Peers

Junier B. Oliva

CVPR

CTM

CSE

MSOR

Jason M. Altschuler United States

Duy Nhat Phan France

Kevin Scaman France

Dima Kuzmin United States

Motonobu Kanagawa Japan

Ruitong Huang Canada

Sepideh Mahabadi United States

Henryk Michalewski Poland

Nicolas Flammarion United States

Siyuan Cheng China

Jason M. Altschuler United States

Junier B. Oliva

35 ×0.5

14 ×0.5

CVPR

22 ×1.3

CTM

5 ×0.4

CSE

5 ×0.4

MSOR

Citations per year, relative to Junier B. Oliva Junier B. Oliva (= 1×) peers Jason M. Altschuler

Countries citing papers authored by Junier B. Oliva

Since Specialization

Citations

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

Fields of papers citing papers by Junier B. Oliva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junier B. Oliva. 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 Junier B. Oliva. The network helps show where Junier B. Oliva may publish in the future.

Co-authorship network of co-authors of Junier B. Oliva

This figure shows the co-authorship network connecting the top 25 collaborators of Junier B. Oliva. A scholar is included among the top collaborators of Junier B. Oliva 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 Junier B. Oliva. Junier B. Oliva 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

Templin, Tara, et al.. (2025). Framework for bias evaluation in large language models in healthcare settings. npj Digital Medicine. 8(1). 414–414. 3 indexed citations

Ringwald, Whitney R., Kasey G. Creswell, Carissa A. Low, et al.. (2025). Common and uncommon risky drinking patterns in young adulthood uncovered by person-specific computational modeling.. Psychology of Addictive Behaviors. 39(5). 469–480. 2 indexed citations

Sylvia, Sean & Junier B. Oliva. (2024). Artificial Intelligence in Health Care: Opportunities, Challenges, and the Road Ahead. North Carolina Medical Journal. 85(4). 238–239. 1 indexed citations

Mahmood, Ahsan, Junier B. Oliva, & Martin Styner. (2024). Anomaly detection via Gumbel Noise Score Matching. Frontiers in Artificial Intelligence. 7. 1441205–1441205.

Li, Yang, et al.. (2024). Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14910–14918. 2 indexed citations

Rashid, Naim U., et al.. (2024). Unsupervised Imputation of Non-Ignorably Missing Data Using Importance-Weighted Autoencoders. Statistics in Biopharmaceutical Research. 17(2). 222–234. 1 indexed citations

Oliva, Junier B., et al.. (2022). Learning to Retrieve Videos by Asking Questions. Proceedings of the 30th ACM International Conference on Multimedia. 356–365. 8 indexed citations

Ghosh, Sayan, et al.. (2021). Adversarial Scrubbing of Demographic Information for Text Classification. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 550–562. 4 indexed citations

Li, Yang, et al.. (2020). ACFlow: Flow Models for Arbitrary Conditional Likelihoods. International Conference on Machine Learning. 1. 5831–5841. 4 indexed citations

10.

Yi, Haidong, et al.. (2020). Exchangeable Neural ODE for Set Modeling. Neural Information Processing Systems. 33. 6936–6946. 2 indexed citations

11.

Shi, Yifeng, Junier B. Oliva, & Marc Niethammer. (2020). Deep Message Passing on Sets. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5750–5757. 3 indexed citations

12.

Park, Eunbyung & Junier B. Oliva. (2019). Meta-Curvature. Neural Information Processing Systems. 32. 3314–3324. 3 indexed citations

13.

Oliva, Junier B., Willie Neiswanger, Barnabás Póczos, Eric P. Xing, & Jeff Schneider. (2018). Fast Function to Function Regression. Figshare. 38. 717–725. 6 indexed citations

14.

Oliva, Junier B., Barnabás Póczos, & Jeff Schneider. (2018). Distribution to Distribution Regression. Figshare. 28(3). 1049–1057. 17 indexed citations

15.

Oliva, Junier B., Barnabás Póczos, & Jeff Schneider. (2017). The Statistical Recurrent Unit. arXiv (Cornell University). 2671–2680. 7 indexed citations

16.

Ravanbakhsh, Siamak, Junier B. Oliva, S. Fromenteau, et al.. (2017). Estimating Cosmological Parameters from the Dark Matter Distribution. arXiv (Cornell University). 2407–2416. 5 indexed citations

17.

Kandasamy, Kirthevasan, Gautam Dasarathy, Junier B. Oliva, Jeff Schneider, & Barnabás Póczos. (2016). Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. Neural Information Processing Systems. 29. 992–1000. 25 indexed citations

18.

Wang, Xuezhi, Junier B. Oliva, Jeff Schneider, & Barnabás Póczos. (2016). Nonparametric risk and stability analysis for multi-task learning problems. International Joint Conference on Artificial Intelligence. 2146–2152. 2 indexed citations

19.

Oliva, Junier B., Avinava Dubey, Andrew Gordon Wilson, et al.. (2016). Bayesian nonparametric kernel-learning. International Conference on Artificial Intelligence and Statistics. 1078–1086. 12 indexed citations

20.

Oliva, Junier B.. (2012). Anomaly Detection and Modeling of Trajectories. 1 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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