Claire Monteleoni

71 papers A* 7A 5B 4Misc 1Journal 35Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified Framework for Locality in Scalable MARL.
CoRR
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen
2026 J jnl
Flickering Multi-Armed Bandits.
CoRR
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen
2026 J jnl
Multi-Agent Lipschitz Bandits.
CoRR
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen
2026 J jnl
STIPP: Space-time in situ postprocessing over the French Alps using proper scoring rules.
CoRR
David Landry, Isabelle Gouttevin, Hugo Merizen, Claire Monteleoni, Anastase Alexandre Charantonis
2026 J jnl
SerpentFlow: Generative Unpaired Domain Alignment via Shared-Structure Decomposition.
CoRR
Julie Keisler, Anastase Alexandre Charantonis, Yannig Goude, Boutheina Oueslati, Claire Monteleoni
2025 J jnl
ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching.
CoRR
Graham Clyne, Guillaume Couairon, Guillaume Gastineau, Claire Monteleoni, Anastase Alexandre Charantonis
2025 A conf
Deep Clustering via Probabilistic Ratio-Cut Optimization.
AISTATS
Ayoub Ghriss, Claire Monteleoni
2025 J jnl
Deep Clustering via Probabilistic Ratio-Cut Optimization.
CoRR
Ayoub Ghriss, Claire Monteleoni
2025 J jnl
Generating ensembles of spatially-coherent in-situ forecasts using flow matching.
CoRR
David Landry, Claire Monteleoni, Anastase Alexandre Charantonis
2025 — conf
Incentivized Lipschitz Bandits.
CDC
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen
2025 J jnl
Incentivized Lipschitz Bandits.
CoRR
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen
2025 A conf
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations.
WACV
Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
2024 J jnl
Application-Driven Innovation in Machine Learning.
CoRR
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024 J jnl
ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting.
CoRR
Guillaume Couairon, Renu Singh, Anastase Alexandre Charantonis, Christian Lessig, Claire Monteleoni
2024 J jnl
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution.
CoRR
Guillaume Couairon, Christian Lessig, Anastase Alexandre Charantonis, Claire Monteleoni
2024 J jnl
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations.
CoRR
Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
2024 — conf
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting.
CVPR Workshops
Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
2024 — conf
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting.
CVPR Workshops
Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
2024 J jnl
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting.
CoRR
Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi
2024 A* conf
Position: Application-Driven Innovation in Machine Learning.
ICML
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024 J jnl
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning.
CoRR
Nidhin Harilal, Amit Kiran Rege, Reza Akbarian Bafghi, Maziar Raissi, Claire Monteleoni
2023 J jnl
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data.
CoRR
Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni
2023 J jnl
Reflections from the Workshop on AI-Assisted Decision Making for Conservation.
CoRR
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
2023 J jnl
STint: Self-supervised Temporal Interpolation for Geospatial Data.
CoRR
Nidhin Harilal, Bri-Mathias S. Hodge, Aneesh Subramanian, Claire Monteleoni
2023 J jnl
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles.
CoRR
Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni
2021 J jnl
Computing Research for the Climate Crisis.
CoRR
Nadya Bliss, Elizabeth Bradley, Claire Monteleoni
2020 — conf
CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon.
CI
Moumita Saha, Ravi S. Nanjundiah, Claire Monteleoni
2020 — conf
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows.
CI
Brian Groenke, Luke Madaus, Claire Monteleoni
2020 J jnl
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows.
CoRR
Brian Groenke, Luke Madaus, Claire Monteleoni
2020 B conf
Cooperative Online Learning: Keeping your Neighbors Updated.
ALT
Nicolò Cesa-Bianchi, Tommaso Cesari, Claire Monteleoni
2020 J jnl
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.
Frontiers Big Data
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
2020 — conf
Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery.
CI
Saumya Sinha, Sophie Giffard-Roisin, Fatima Karbou, Michael Deschatres, Anna Karas, Nicolas Eckert, Cécile Coléou, Claire Monteleoni
2019 J jnl
Cooperative Online Learning: Keeping your Neighbors Updated.
CoRR
Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Claire Monteleoni
2019 J jnl
Evaluating the distribution learning capabilities of GANs.
CoRR
Amit Kiran Rege, Claire Monteleoni
2019 J jnl
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data.
CoRR
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni
2017 A* conf
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means.
IJCAI
Mahesh Mohan, Claire Monteleoni
2017 A conf
Convergence Rate of Stochastic k-means.
AISTATS
Cheng Tang, Claire Monteleoni
2017 B conf
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering.
IJCNN
Mahesh Mohan, Claire Monteleoni
2017 J jnl
Research Challenges in Financial Data Modeling and Analysis.
Big Data
Lewis Alexander, Sanjiv R. Das, Zachary G. Ives, H. V. Jagadish, Claire Monteleoni
2016 J jnl
Convergence rate of stochastic k-means.
CoRR
Cheng Tang, Claire Monteleoni
2016 J jnl
Convergence rate of stochastic k-means.
CoRR
Cheng Tang, Claire Monteleoni
2016 J jnl
Differentially-private learning of low dimensional manifolds.
Theor. Comput. Sci.
Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
2016 A conf
On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice.
AISTATS
Cheng Tang, Claire Monteleoni
2016 — conf
Online Learning of Volatility from Multiple Option Term Lengths.
DSMM@SIGMOD
Scott McQuade, Claire Monteleoni
2015 J jnl
Can Topic Modeling Shed Light on Climate Extremes?
Comput. Sci. Eng.
Cheng Tang, Claire Monteleoni
2015 A* conf
Environment selection and hierarchical place recognition.
ICRA
Mahesh Mohan, Dorian Gálvez-López, Claire Monteleoni, Gabe Sibley
2013 — conf
A Semi-Supervised Learning Approach to Differential Privacy.
ICDM Workshops
Geetha Jagannathan, Claire Monteleoni, Krishnan Pillaipakkamnatt
2013 — ch.
Climate Informatics.
Computational Intelligent Data Analysis for Sustainable Development
Claire Monteleoni, Gavin A. Schmidt, Francis J. Alexander, Alexandru Niculescu-Mizil, Karsten Steinhaeuser, Michael K. Tippett, Arindam Banerjee, M. Benno Blumenthal, Auroop R. Ganguly, Jason E. Smerdon, Marco Tedesco
2013 J jnl
Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning.
Comput. Sci. Eng.
Claire Monteleoni, Gavin A. Schmidt, Scott McQuade
2013 — conf
Climate Prediction via Matrix Completion.
AAAI (Late-Breaking Developments)
Mahsa Ghafarianzadeh, Claire Monteleoni
2013 B conf
Differentially-Private Learning of Low Dimensional Manifolds.
ALT
Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
2013 B conf
Fast Spectral Clustering via the Nyström Method.
ALT
Anna Choromanska, Tony Jebara, HyungTae Kim, Mahesh Mohan, Claire Monteleoni
2012 A* conf
Global Climate Model Tracking Using Geospatial Neighborhoods.
AAAI
Scott McQuade, Claire Monteleoni
2012 A conf
Online Clustering with Experts.
AISTATS
Anna Choromanska, Claire Monteleoni
2012 — conf
Online Clustering with Experts.
ICML On-line Trading of Exploration and Exploitation
Anna Choromanska, Claire Monteleoni
2011 J jnl
Differentially Private Empirical Risk Minimization.
J. Mach. Learn. Res.
Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate
2011 J jnl
Tracking climate models.
Stat. Anal. Data Min.
Claire Monteleoni, Gavin A. Schmidt, Shailesh Saroha, Eva Asplund
2010 — conf
Tracking Climate Models.
CIDU
Claire Monteleoni, Gavin A. Schmidt, Shailesh Saroha
2009 J jnl
Analysis of Perceptron-Based Active Learning.
J. Mach. Learn. Res.
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni
2009 J jnl
Differentially Private Support Vector Machines
CoRR
Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni
2009 — conf
Streaming k-means approximation.
NIPS
Nir Ailon, Ragesh Jaiswal, Claire Monteleoni
2008 Misc conf
A General Agnostic Active Learning Algorithm.
ISAIM
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni
2008 — conf
Privacy-preserving logistic regression.
NIPS
Kamalika Chaudhuri, Claire Monteleoni
2007 — conf
A general agnostic active learning algorithm.
NIPS
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni
2007 A* conf
Practical Online Active Learning for Classification.
CVPR
Claire Monteleoni, Matti Kääriäinen
2006 A* conf
Efficient Algorithms for General Active Learning.
COLT
Claire Monteleoni
2006 — —
Learning with online constraints: shifting concepts and active learning.
Claire Monteleoni
2005 A* conf
Analysis of Perceptron-Based Active Learning.
COLT
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni
2003 — conf
Online Learning of Non-stationary Sequences.
NIPS
Claire Monteleoni, Tommi S. Jaakkola
1999 — conf
Resource Allocation Using Sequential Auctions.
Agent Mediated Electronic Commerce (IJCAI Workshop)
Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata
1998 — conf
Information Extraction Research and Applications: Current Progress and Future Directions.
TIPSTER
Andrew Kehler, Jerry R. Hobbs, Douglas E. Appelt, John Bear, Matthew Caywood, David J. Israel, Megumi Kameyama, David L. Martin, Claire Monteleoni