Iain Murray
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Gaussian Processes and Bayesian Inference
- Privacy-Preserving Technologies in Data
- Domain Adaptation and Few-Shot Learning
- Bayesian Methods and Mixture Models
- Advanced Graph Neural Networks
-
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Markov Chains and Monte Carlo Methods 7
-
- Gaussian Processes and Bayesian Inference 15
- Bayesian Methods and Mixture Models 12
- Neural Networks and Applications 6
- Bayesian Modeling and Causal Inference 5
- Natural Language Processing Techniques 4
- Machine Learning and Algorithms 3
- Co-authors
- Matthew GrahamHugo LarochelleKarol GregorRyan P. AdamsRuslan SalakhutdinovGeorge E. DahlHanna WallachDavid Mimno
- Journals
- Journal of Machine Learning Research (2 papers)Parasitology (1 paper)The Astrophysical Journal (1 paper)European Journal of Orthopaedic Surgery & Traumatology (1 paper)International Journal for Parasitology (1 paper)
- Partner nations
- United KingdomCanadaAustralia
In The Last Decade
Iain Murray
50 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 3.3k
- Computer Vision and Pattern Recognition 1.3k
- Computational Mathematics 37
- General Social Sciences 173
- Signal Processing 499
Countries citing papers authored by Iain Murray
This map shows the geographic impact of Iain Murray'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 Iain Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain Murray more than expected).
Fields of papers citing papers by Iain Murray
This network shows the impact of papers produced by Iain Murray. 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 Iain Murray. The network helps show where Iain Murray may publish in the future.
Co-authors
The 25 scholars most cited alongside Iain Murray, 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 | 2022 | 4 | |
| 2 | Cubic-Spline Flows | 2019 | 1 |
| 3 | Dynamic Evaluation of Neural Sequence Models | 2018 | 19 |
| 4 | 30th Conference on Neural Information Processing Systems (NIPS 2016) | 2016 | 116 |
| 5 | Pseudo-Marginal Slice Sampling | 2016 | 8 |
| 6 | 2015 | 14 | |
| 7 | 2015 | 11 | |
| 8 | 2014 | 24 | |
| 9 | 2013 | 76 | |
| 10 | The Neural Autoregressive Distribution Estimator | 2011 | 166 |
| 11 | How biased are maximum entropy models | 2011 | 4 |
| 12 | Neural Information Processing Systems Conference 2010 | 2010 | 45 |
| 13 | Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) Hit paper breakdown → | 2010 | 555 |
| 14 | The gravitational force law in the Solar System | 2009 | 0 |
| 15 | Advances in Neural Information Processing Systems 21: 22nd Annual Conference on Neural Information Processing Systems 2008 | 2009 | 3 |
| 16 | The Gaussian Process Density Sampler | 2008 | 23 |
| 17 | Evaluating probabilities under high-dimensional latent variable models | 2008 | 38 |
| 18 | Characterizing response behavior in multi-sensory perception with conflicting cues | 2008 | 6 |
| 19 | 2004 | 46 | |
| 20 | 1996 | 27 |
About Iain Murray
Iain Murray is a scholar working on Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, Aging and Signal Processing, having authored 54 papers that have together received 5.9k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (15 papers), Bayesian Methods and Mixture Models (12 papers), Markov Chains and Monte Carlo Methods (7 papers), Neural Networks and Applications (6 papers), Bayesian Modeling and Causal Inference (5 papers), Natural Language Processing Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mathematics (37 citations), General Social Sciences (173 citations) and Signal Processing (499 citations). Iain Murray has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Matthew Graham, Hugo Larochelle, Karol Gregor, Ryan P. Adams, Ruslan Salakhutdinov, George E. Dahl, Hanna Wallach, David Mimno, David Mackay and George Papamakarios. Their work appears in journals such as Journal of Machine Learning Research, Parasitology, The Astrophysical Journal, European Journal of Orthopaedic Surgery & Traumatology and International Journal for Parasitology.
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.