Ron Meir
Impact in
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Signal Processing top 2%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Neural Networks and Applications 29
- Machine Learning and Algorithms 12
- Gaussian Processes and Bayesian Inference 7
-
- Neural dynamics and brain function 23
- Co-authors
- Shie MannorYaakov EngelJosé F. FontanariV. MaiorovDaniel SoudryEytan DomanyWolfgang KinzelTong Zhang
- Journals
- Neural Computation (4 papers)Network Computation in Neural Systems (3 papers)IEEE Transactions on Information Theory (3 papers)Journal of Machine Learning Research (3 papers)Machine Learning (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ron Meir
82 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.3k
- Signal Processing 431
- Computational Mechanics 598
- Computer Vision and Pattern Recognition 476
- Cognitive Neuroscience 419
Countries citing papers authored by Ron Meir
This map shows the geographic impact of Ron Meir'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 Ron Meir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Meir more than expected).
Fields of papers citing papers by Ron Meir
This network shows the impact of papers produced by Ron Meir. 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 Ron Meir. The network helps show where Ron Meir may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ron Meir, 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 | 2024 | 2 | |
| 2 | Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory | 2018 | 17 |
| 3 | A tractable approximation to optimal point process filtering: application to neural encoding | 2015 | 1 |
| 4 | Optimal Neural Codes for Control and Estimation | 2014 | 1 |
| 5 | 2012 | 0 | |
| 6 | Analytical Results for the Error in Filtering of Gaussian Processes | 2011 | 2 |
| 7 | 2010 | 15 | |
| 8 | A neural network implementing optimal state estimation based on dynamic spike train decoding | 2007 | 5 |
| 9 | Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings (Lecture Notes in Computer Science) | 2005 | 1 |
| 10 | A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound | 2004 | 4 |
| 11 | Bayes meets bellman: the Gaussian process approach to temporal difference learning | 2003 | 101 |
| 12 | Generalization error bounds for Bayesian mixture algorithms | 2003 | 61 |
| 13 | Error Bounds for Transductive Learning via Compression and Clustering | 2003 | 6 |
| 14 | Variance Optimized Bagging | 2002 | 2 |
| 15 | Data-Dependent Bounds for Bayesian Mixture Methods | 2002 | 2 |
| 16 | Sparse Online Greedy Support Vector Regression | 2002 | 6 |
| 17 | Localized Boosting | 2000 | 17 |
| 18 | Weak Learners and Improved Rates of Convergence in Boosting | 2000 | 6 |
| 19 | Time Series Prediction using Mixtures of Experts | 1996 | 13 |
| 20 | A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks | 1992 | 68 |
About Ron Meir
Ron Meir is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Neural dynamics and brain function (23 papers), Machine Learning and Algorithms (12 papers), Advanced Memory and Neural Computing (9 papers), Face and Expression Recognition (8 papers), Control Systems and Identification (8 papers), Gaussian Processes and Bayesian Inference (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Signal Processing (431 citations), Computational Mechanics (598 citations), Computer Vision and Pattern Recognition (476 citations) and Cognitive Neuroscience (419 citations). Ron Meir has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Shie Mannor, Yaakov Engel, José F. Fontanari, V. Maiorov, Daniel Soudry, Eytan Domany, Wolfgang Kinzel, Tong Zhang, Itay Hubara and Vitaly Maiorov. Their work appears in journals such as Neural Computation, Network Computation in Neural Systems, IEEE Transactions on Information Theory, Journal of Machine Learning Research and Machine Learning.
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.