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Enzo Tartaglione

  1. Unbiased Supervised Contrastive Learning
    2022/11/10 by Carlo Alberto Barbano, Benoît Dufumier, Barbano, Carlo Alberto +7 · 13 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Weighted Ensemble Models Are Strong Continual Learners
    2023/12/14 by Imad Eddine Marouf, Subhankar Roy, Marouf, Imad Eddine +5 · 15 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  3. Packed-Ensembles for Efficient Uncertainty Estimation
    2022/10/17 by Olivier Laurent, Laurent, Olivier, Adrien Lafage +11 · 9 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Wireless Signal Modulation Classification
  4. Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning
    2024/06/26 by Muhammad Salman Ali, Maryam Qamar, Ali, Muhammad Salman +5 · 12 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. ELMGS: Enhancing memory and computation scaLability through coMpression for 3D Gaussian Splatting
    2024/10/30 by Muhammad Salman Ali, Sung‐Ho Bae, Ali, Muhammad Salman +3 · 9 citations
    Computer Science · #Advanced Data Storage Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. To update or not to update? Neurons at equilibrium in deep models
    2022/07/19 by Andrea Bragagnolo, Enzo Tartaglione, Bragagnolo, Andrea +3 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
  7. WiGNet: Windowed Vision Graph Neural Network
    2024/10/01 by Gabriele Spadaro, Marco Grangetto, Spadaro, Gabriele +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
  8. GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression
    2025/01/23 by Francesco Di Sario, Di Sario, Francesco, Riccardo Renzulli +7 · 6 citations
    Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  9. Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions
    2025/02/26 by Muhammad Salman Ali, Ali, Muhammad Salman, Chaoning Zhang +10 · 5 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Graphics (cs.GR)
  10. Learning Sparse Neural Networks via Sensitivity-Driven Regularization
    2018/10/28 by Enzo Tartaglione, Tartaglione, Enzo, Skjalg Lepsøy +5 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  11. Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke
    2021/01/15 by Umberto Gava, Gava, Umberto A., Federico D’Agata +13 · 1 citation
    Engineering · Medicine · #Acute Ischemic Stroke Management #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Photoacoustic and Ultrasonic Imaging #electronic engineering #information engineering
  12. Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint
    2023/12/08 by Aël Quélennec, Enzo Tartaglione, Quélennec, Aël +5 · 4 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning and ELM
  13. UniToBrain dataset: a Brain Perfusion Dataset
    2022/08/01 by Daniele Perlo, Enzo Tartaglione, Perlo, Daniele +9 · 1 citation
    Engineering · Medicine · #Acute Ischemic Stroke Management #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  14. Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
    2024/07/15 by Francesco Di Sario, Di Sario, Francesco, Riccardo Renzulli +5 · 2 citations
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques
  15. Activation Map Compression through Tensor Decomposition for Deep Learning
    2024/11/10 by Thi To Loan Nguyen, Aël Quélennec, Nguyen, Le-Trung +7 · 4 citations
    Computer Science · Mathematics · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Tensor decomposition and applications
  16. Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
    2025/05/08 by Thi To Loan Nguyen, Nguyen, Le-Trung, Aël Quélennec +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  17. Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
    2025/02/13 by Massimiliano Ciranni, Vito Paolo Pastore, Ciranni, Massimiliano +9 · 2 citations
    Computer Science · #Artificial Intelligence in Games #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4 #I.5 #Machine Learning (cs.LG) #Software Engineering Research #Teaching and Learning Programming
  18. Memory-Optimized Once-For-All Network
    2024/09/05 by Maxime Girard, Victor Quétu, Girard, Maxime +7 · 1 citation
    Computer Science · #Cloud Computing and Resource Management #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Interconnection Networks and Systems #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #electronic engineering #information engineering