Claire Monteleoni

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 27

Top Venues

CoRR

AISTATS

ICRA

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations. CoRR (2024)
Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting. CoRR (2024)
Guillaume Couairon, Christian Lessig, Anastase Alexandre Charantonis, Claire Monteleoni
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution. CoRR (2024)
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
Application-Driven Innovation in Machine Learning. CoRR (2024)
Saumya Sinha, John Fasullo, R. Steven Nerem, Claire Monteleoni
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data. CoRR (2023)
Nidhin Harilal, Bri-Mathias Hodge, Aneesh Subramanian, Claire Monteleoni
STint: Self-supervised Temporal Interpolation for Geospatial Data. CoRR (2023)
Saumya Sinha, John Fasullo, R. Steven Nerem, Claire Monteleoni
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles. CoRR (2023)
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR (2023)
Nadya Bliss, Elizabeth Bradley, Claire Monteleoni
Computing Research for the Climate Crisis. CoRR (2021)
Brian Groenke, Luke Madaus, Claire Monteleoni
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. CI (2020)
Moumita Saha, Ravi S. Nanjundiah, Claire Monteleoni
CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon. CI (2020)
Saumya Sinha, Sophie Giffard-Roisin, Fatima Karbou, Michael Deschatres, Anna Karas, Nicolas Eckert, Cécile Coléou, Claire Monteleoni
Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery. CI (2020)
Brian Groenke, Luke Madaus, Claire Monteleoni
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. CoRR (2020)
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. Frontiers Big Data 3 (2020)
Nicolò Cesa-Bianchi, Tommaso Cesari, Claire Monteleoni
Cooperative Online Learning: Keeping your Neighbors Updated. ALT (2020)
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data. CoRR (2019)
Nicolò Cesa-Bianchi, Tommaso R. Cesari, Claire Monteleoni
Cooperative Online Learning: Keeping your Neighbors Updated. CoRR (2019)
Amit Rege, Claire Monteleoni
Evaluating the distribution learning capabilities of GANs. CoRR (2019)
Mahesh Mohan, Claire Monteleoni
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. IJCNN (2017)
Lewis Alexander, Sanjiv R. Das, Zachary G. Ives, H. V. Jagadish, Claire Monteleoni
Research Challenges in Financial Data Modeling and Analysis. Big Data 5 (3) (2017)
Cheng Tang, Claire Monteleoni
Convergence Rate of Stochastic k-means. AISTATS (2017)
Mahesh Mohan, Claire Monteleoni
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means. IJCAI (2017)
Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
Differentially-private learning of low dimensional manifolds. Theor. Comput. Sci. 620 (2016)
Cheng Tang, Claire Monteleoni
On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice. AISTATS (2016)
Cheng Tang, Claire Monteleoni
Convergence rate of stochastic k-means. CoRR (2016)
Scott McQuade, Claire Monteleoni
Online Learning of Volatility from Multiple Option Term Lengths. DSMM@SIGMOD (2016)
Cheng Tang, Claire Monteleoni
Convergence rate of stochastic k-means. CoRR (2016)
Cheng Tang, Claire Monteleoni
Can Topic Modeling Shed Light on Climate Extremes? Comput. Sci. Eng. 17 (6) (2015)
Mahesh Mohan, Dorian Gálvez-López, Claire Monteleoni, Gabe Sibley
Environment selection and hierarchical place recognition. ICRA (2015)
Claire Monteleoni, Gavin A. Schmidt, Scott McQuade
Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning. Comput. Sci. Eng. 15 (5) (2013)
Geetha Jagannathan, Claire Monteleoni, Krishnan Pillaipakkamnatt
A Semi-Supervised Learning Approach to Differential Privacy. ICDM Workshops (2013)
Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
Differentially-Private Learning of Low Dimensional Manifolds. ALT (2013)
Mahsa Ghafarianzadeh, Claire Monteleoni
Climate Prediction via Matrix Completion. AAAI (Late-Breaking Developments) (2013)
Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni
Fast Spectral Clustering via the Nyström Method. ALT (2013)
Scott McQuade, Claire Monteleoni
Global Climate Model Tracking Using Geospatial Neighborhoods. AAAI (2012)
Anna Choromanska, Claire Monteleoni
Online Clustering with Experts. ICML On-line Trading of Exploration and Exploitation (2012)
Anna Choromanska, Claire Monteleoni
Online Clustering with Experts. AISTATS (2012)
Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate
Differentially Private Empirical Risk Minimization. J. Mach. Learn. Res. 12 (2011)
Claire Monteleoni, Gavin A. Schmidt, Shailesh Saroha, Eva Asplund
Tracking climate models. Stat. Anal. Data Min. 4 (4) (2011)
Claire Monteleoni, Gavin A. Schmidt, Shailesh Saroha
Tracking Climate Models. CIDU (2010)
Nir Ailon, Ragesh Jaiswal, Claire Monteleoni
Streaming k-means approximation. NIPS (2009)
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni
Analysis of Perceptron-Based Active Learning. J. Mach. Learn. Res. 10 (2009)
Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni
Differentially Private Support Vector Machines CoRR (2009)
Kamalika Chaudhuri, Claire Monteleoni
Privacy-preserving logistic regression. NIPS (2008)
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni
A General Agnostic Active Learning Algorithm. ISAIM (2008)
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni
A general agnostic active learning algorithm. NIPS (2007)
Claire Monteleoni, Matti Kääriäinen
Practical Online Active Learning for Classification. CVPR (2007)
Claire Monteleoni
Efficient Algorithms for General Active Learning. COLT (2006)
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni
Analysis of Perceptron-Based Active Learning. COLT (2005)
Claire Monteleoni, Tommi S. Jaakkola
Online Learning of Non-stationary Sequences. NIPS (2003)
Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata
Resource Allocation Using Sequential Auctions. Agent Mediated Electronic Commerce (IJCAI Workshop) (1999)
Andrew Kehler, Jerry R. Hobbs, Douglas E. Appelt, John Bear, Matthew Caywood, David J. Israel, Megumi Kameyama, David L. Martin, Claire Monteleoni
Information Extraction Research and Applications: Current Progress and Future Directions. TIPSTER (1998)

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Publication Activity (10 Years)

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Claire Monteleoni