keywords
- Machine Learning, Artificial Intelligence, Climate Informatics, Big Data, Climate Science, Climate Change, Renewable Energy
- Contact Info
Monteleoni, Claire Elizabeth
Positions
- Professor, Computer Science
- Professor, Computer Science
Research Areas
Research
Publications
selected publications
-
chapter
- Spatiotemporal Global Climate Model Tracking. 33-54. 2017
- Climate Informatics. 81-126. 2013
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Differentially-Private Learning of Low Dimensional Manifolds.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
249-263.
2013
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conference proceeding
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Incentivized Lipschitz Bandits.
5120-5125.
2025
- Deep Clustering via Probabilistic Ratio-Cut Optimization 258:4870-4878, 2025.. 4870-4878. 2025
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MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations.
7500-7511.
2025
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Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting.
Conference on Computer Vision and Pattern Recognition Workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops.
3679-3684.
2024
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Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting.
Conference on Computer Vision and Pattern Recognition Workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops.
7864-7869.
2024
- Position: Application-Driven Innovation in Machine Learning 2024
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Week-ahead solar irradiance forecasting with deep sequence learning
2022
- Subseasonal Solar Power Forecasting via Deep Sequence Learning 2021
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ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows.
60-66.
2020
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CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon.
15-21.
2020
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Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery.
113-119.
2020
- Cooperative Online Learning: Keeping your Neighbors Updated. 234-250. 2020
- Can Avalanche Deposits be Effectively Detected by Deep Learning on Sentinel-1 Satellite SAR Images?. 147-151. 2019
- Causal Link Detection and the Prediction of the Indian Summer Monsoon. 136-141. 2019
- Changes in Information Hubs over the Pacific ENSO Region. 142-146. 2019
- Fused Deep Learning for Hurricane Track Forecast From Reanalysis Data. 69-72. 2018
- The 2018 Climate Informatics Hackathon: Hurricane Intensity Forecast 2018
- Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means. 2494-2500. 2017
- Exploiting Sparsity to Improve the Accuracy of Nystrom-based Large-scale Spectral Clustering. Proceedings of International Joint Conference on Neural Networks. 9-16. 2017
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Online Learning of Volatility from Multiple Option Term Lengths.
1-3.
2016
- On Lloyd's algorithm: new theoretical insights for clustering in practice. 1280-1289. 2016
- Environment Selection And Hierarchical Place Recognition. IEEE International Conference on Robotics and Automation. 5487-5494. 2015
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A Semi-Supervised Learning Approach To Differential Privacy.
Proceedings ... ICDM workshops IEEE International Conference on Data Mining.
841-848.
2013
- Fast Spectral Clustering via the Nystrom Method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 367-381. 2013
- Practical Online active learning for classification. Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 3334-+. 2007
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Efficient algorithms for general active learning.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
650-652.
2006
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Analysis of perceptron-based active learning.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
249-263.
2005
- Online learning of non-stationary sequences. Advances in Neural Information Processing Systems. 1093-1100. 2003
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Incentivized Lipschitz Bandits.
5120-5125.
2025
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journal article
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ArchesWeatherGen: Skillful and compute-efficient probabilistic weather forecasting with machine learning..
Science Advances.
eadx2372.
2026
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Generating ensembles of spatially coherent in situ forecasts using flow matching.
Quarterly Journal of the Royal Meteorological Society.
2026
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MoTiF: a self-supervised model for multi-source forecasting with application to tropical cyclones.
Environmental Data Science.
2025
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Machine learning for the physics of climate.
Nature Reviews Physics.
6-20.
2024
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Hamiltonian learning using machine-learning models trained with continuous measurements.
Physical Review Applied.
2024
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Multidecadal Sea Level Prediction Using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data
2024
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Leveraging Deterministic Weather Forecasts for In Situ Probabilistic Temperature Predictions via Deep Learning.
Monthly Weather Review.
1997-2009.
2024
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Pushing the frontiers in climate modelling and analysis with machine learning.
Nature Climate Change.
2024
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Week-ahead solar irradiance forecasting with deep sequence learning.
Environmental Data Science.
2022
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Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.
Frontiers in Big Data.
2020
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Research Challenges in Financial Data Modeling and Analysis.
Big Data.
177-188.
2017
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Technological Innovation, Data Analytics, and Environmental Enforcement.
Ecology Law Quarterly.
41-88.
2017
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Differentially-private learning of low dimensional manifolds.
Theoretical Computer Science.
91-104.
2016
- Can Topic Modeling Shed Light on Climate Extremes?. Computing in Science and Engineering. 43-52. 2015
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Can topic modeling shed light on climate extremes?.
Computing in Science and Engineering.
1-1.
2015
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Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning.
Computing in Science and Engineering.
32-40.
2013
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Tracking climate models.
Statistical Analysis and Data Mining.
372-392.
2011
- Differentially Private Empirical Risk Minimization. Journal of machine learning research. 1069-1109. 2011
- Analysis of Perceptron-Based Active Learning. Journal of machine learning research. 281-299. 2009
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ArchesWeatherGen: Skillful and compute-efficient probabilistic weather forecasting with machine learning..
Science Advances.
eadx2372.
2026
Background
education and training
- Ph.D., Massachusetts Institute of Technology 2006
- M.S., Massachusetts Institute of Technology 2003
- B.A., Harvard University 1998
awards and honors
International Activities
geographic focus
- Austria Country
- Brazil Country
- Canada Country
- Denmark Country
- France Country
- Germany Country
- India Country
- Italy Country
- Netherlands Country
- Norway Country
- Spain Country
- Sweden Country
- Switzerland Country
- United Kingdom Country
- Uruguay Country