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Claire 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
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
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
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
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
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
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
Environment selection and hierarchical place recognition. ICRA 2015: 5487-5494 - 2013
- [j4]Claire Monteleoni
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
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
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
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
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 17:31 CEST by the dblp team
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