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Claire Monteleoni

  1. Differentially Private Empirical Risk Minimization
    2009/12/01 by Kamalika Chaudhuri, Claire Monteleoni, Chaudhuri, Kamalika +3 · 34 citations
    Computer Science · Decision Sciences · Mathematics · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Probability and Risk Models #Statistical Methods and Inference
  2. Machine Learning for the Physics of Climate
    2024/08/19 by Annalisa Bracco, Bracco, Annalisa, Julien Brajard +9 · 20 citations
    Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Physical sciences
  3. ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting
    2024/12/17 by Guillaume Couairon, Couairon, Guillaume, Renu Singh +7 · 10 citations
    Earth and Planetary Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
  4. ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution
    2024/05/23 by Guillaume Couairon, Christian Lessig, Couairon, Guillaume +5 · 1 voice · 4 citations
    Earth and Planetary Sciences · #cs.LG #cs.AI
  5. Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
    2024/04/26 by Reza Akbarian Bafghi, Bafghi, Reza Akbarian, Nidhin Harilal +5 · 4 citations
    Computer Science · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing
  6. ClimAlign: Unsupervised statistical downscaling of climate variables via\n normalizing flows
    2020/08/11 by Brian Groenke, Groenke, Brian, Luke Madaus +3 · 1 citation
    Earth and Planetary Sciences · #Arctic and Antarctic ice dynamics #Climate change and permafrost #Computer Vision and Pattern Recognition (cs.CV) #Cryospheric studies and observations #FOS: Computer and information sciences #I.5.4 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Cooperative Online Learning: Keeping your Neighbors Updated
    2019/01/23 by Nicolò Cesa‐Bianchi, Cesa-Bianchi, Nicolò, Tommaso Cesari +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Online Learning and Analytics #Recommender Systems and Techniques
  8. MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
    2024/06/18 by Reza Akbarian Bafghi, Bafghi, Reza Akbarian, Nidhin Harilal +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image Retrieval and Classification Techniques
  9. Convergence rate of stochastic k-means
    2016/10/16 by Cheng Tang, Tang, Cheng, Claire Monteleoni +1 · 1 citation
    Computer Science · Mathematics · #Advanced Clustering Algorithms Research #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Statistical Methods and Inference
  10. Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning
    2024/12/22 by Nidhin Harilal, Harilal, Nidhin, Ashutosh Rege +7 · 1 citation
    Computer Science · #Topic Modeling
  11. Learning from Local Walks on Dynamic Graphs with Bandit Feedback
    2026/07/27 by Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni +1
    #cs.LG #cs.AI #stat.ML