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ORCIDClaire Monteleoni
Person information
- affiliation: University of Colorado Boulder, CO, USA
- affiliation (2011-2018): George Washington University, DC, USA
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2020 – today
- 2024
[c31]Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi:
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting. CVPR Workshops 2024: 3679-3684- [c30]Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi:
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting. CVPR Workshops 2024: 7864-7869 - [c29]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Position: Application-Driven Innovation in Machine Learning. ICML 2024 - [i16]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 abs/2403.17381 (2024) - [i15]Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi:
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting. CoRR abs/2404.17245 (2024) - [i14]Guillaume Couairon, Christian Lessig, Anastase Alexandre Charantonis, Claire Monteleoni:
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution. CoRR abs/2405.14527 (2024) - [i13]Reza Akbarian Bafghi, Nidhin Harilal, Claire Monteleoni, Maziar Raissi:
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations. CoRR abs/2406.12368 (2024) - 2023
- [i12]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 abs/2307.08774 (2023) - [i11]Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni:
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles. CoRR abs/2308.02460 (2023) - [i10]Nidhin Harilal, Bri-Mathias S. Hodge, Aneesh Subramanian, Claire Monteleoni:
STint: Self-supervised Temporal Interpolation for Geospatial Data. CoRR abs/2309.00059 (2023) - [i9]Saumya Sinha, John Fasullo, Robert 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 abs/2310.04540 (2023) - 2021
- [i8]Nadya Bliss, Elizabeth Bradley, Claire Monteleoni:
Computing Research for the Climate Crisis. CoRR abs/2108.05926 (2021) - 2020
- [j8]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: 1 (2020) - [c28]Nicolò Cesa-Bianchi, Tommaso Cesari, Claire Monteleoni:
Cooperative Online Learning: Keeping your Neighbors Updated. ALT 2020: 234-250 - [c27]Moumita Saha, Ravi S. Nanjundiah, Claire Monteleoni:
CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon. CI 2020: 15-21 - [c26]Brian Groenke, Luke Madaus, Claire Monteleoni:
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. CI 2020: 60-66 - [c25]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: 113-119 - [i7]Brian Groenke, Luke Madaus, Claire Monteleoni:
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. CoRR abs/2008.04679 (2020)
2010 – 2019
- 2019
- [i6]Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Claire Monteleoni:
Cooperative Online Learning: Keeping your Neighbors Updated. CoRR abs/1901.08082 (2019) - [i5]Amit Rege, Claire Monteleoni:
Evaluating the distribution learning capabilities of GANs. CoRR abs/1907.02662 (2019) - [i4]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 abs/1910.10566 (2019) - 2017
- [j7]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): 177-188 (2017) - [c24]Cheng Tang, Claire Monteleoni:
Convergence Rate of Stochastic k-means. AISTATS 2017: 1495-1503 - [c23]Mahesh Mohan, Claire Monteleoni:
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means. IJCAI 2017: 2494-2500 - [c22]Mahesh Mohan, Claire Monteleoni:
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. IJCNN 2017: 9-16 - 2016
- [j6]Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni:
Differentially-private learning of low dimensional manifolds. Theor. Comput. Sci. 620: 91-104 (2016) - [c21]Cheng Tang, Claire Monteleoni:
On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice. AISTATS 2016: 1280-1289 - [c20]Scott McQuade, Claire Monteleoni:
Online Learning of Volatility from Multiple Option Term Lengths. DSMM@SIGMOD 2016: 12:1-12:3 - [i3]Cheng Tang, Claire Monteleoni:
Convergence rate of stochastic k-means. CoRR abs/1610.04900 (2016) - [i2]Cheng Tang, Claire Monteleoni:
Convergence rate of stochastic k-means. CoRR abs/1611.05132 (2016) - 2015
- [j5]Cheng Tang, Claire Monteleoni:
Can Topic Modeling Shed Light on Climate Extremes? Comput. Sci. Eng. 17(6): 43-52 (2015) - [c19]Mahesh Mohan, Dorian Gálvez-López, Claire Monteleoni, Gabe Sibley:
Environment selection and hierarchical place recognition. ICRA 2015: 5487-5494 - 2013
- [j4]Claire Monteleoni, Gavin A. Schmidt, Scott McQuade:
Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning. Comput. Sci. Eng. 15(5): 32-40 (2013) - [c18]Mahsa Ghafarianzadeh, Claire Monteleoni:
Climate Prediction via Matrix Completion. AAAI (Late-Breaking Developments) 2013 - [c17]Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni:
Differentially-Private Learning of Low Dimensional Manifolds. ALT 2013: 249-263 - [c16]Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni:
Fast Spectral Clustering via the Nyström Method. ALT 2013: 367-381 - [c15]Geetha Jagannathan, Claire Monteleoni, Krishnan Pillaipakkamnatt:
A Semi-Supervised Learning Approach to Differential Privacy. ICDM Workshops 2013: 841-848 - 2012
- [c14]Scott McQuade, Claire Monteleoni:
Global Climate Model Tracking Using Geospatial Neighborhoods. AAAI 2012: 335-341 - [c13]Anna Choromanska, Claire Monteleoni:
Online Clustering with Experts. ICML On-line Trading of Exploration and Exploitation 2012: 1-18 - [c12]Anna Choromanska, Claire Monteleoni:
Online Clustering with Experts. AISTATS 2012: 227-235 - 2011
- [j3]Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate:
Differentially Private Empirical Risk Minimization. J. Mach. Learn. Res. 12: 1069-1109 (2011) - [j2]Claire Monteleoni, Gavin A. Schmidt, Shailesh Saroha, Eva Asplund:
Tracking climate models. Stat. Anal. Data Min. 4(4): 372-392 (2011) - 2010
- [c11]Claire Monteleoni, Gavin A. Schmidt, Shailesh Saroha:
Tracking Climate Models. CIDU 2010: 1-15
2000 – 2009
- 2009
- [j1]Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni:
Analysis of Perceptron-Based Active Learning. J. Mach. Learn. Res. 10: 281-299 (2009) - [c10]Nir Ailon, Ragesh Jaiswal, Claire Monteleoni:
Streaming k-means approximation. NIPS 2009: 10-18 - [i1]Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni:
Differentially Private Support Vector Machines. CoRR abs/0912.0071 (2009) - 2008
- [c9]Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni:
A General Agnostic Active Learning Algorithm. ISAIM 2008 - [c8]Kamalika Chaudhuri, Claire Monteleoni:
Privacy-preserving logistic regression. NIPS 2008: 289-296 - 2007
- [c7]Claire Monteleoni, Matti Kääriäinen:
Practical Online Active Learning for Classification. CVPR 2007 - [c6]Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni:
A general agnostic active learning algorithm. NIPS 2007: 353-360 - 2006
- [b1]Claire Monteleoni:
Learning with online constraints: shifting concepts and active learning. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006 - [c5]Claire Monteleoni:
Efficient Algorithms for General Active Learning. COLT 2006: 650-652 - 2005
- [c4]Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni:
Analysis of Perceptron-Based Active Learning. COLT 2005: 249-263 - 2003
- [c3]Claire Monteleoni, Tommi S. Jaakkola:
Online Learning of Non-stationary Sequences. NIPS 2003: 1093-1100
1990 – 1999
- 1999
- [c2]Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata:
Resource Allocation Using Sequential Auctions. Agent Mediated Electronic Commerce (IJCAI Workshop) 1999: 131-152 - 1998
- [c1]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: 61-73
Coauthor Index
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last updated on 2024-10-11 18:23 CEST by the dblp team
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