Enzo Tartaglione

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Frequent coauthors

Papers

1. How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
   WACV 2026 ·

   Nathan Roos

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2. I-INR: Iterative Implicit Neural Representations
   AAAI 2026 ·

   Ali Haider

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3. Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering
   ICCV 2025 ·

   Imad Eddine Marouf

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4. Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
   ICML 2025 ·

   Le-Trung Nguyen

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5. Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
   NeurIPS 2025 ·

   Massimiliano Ciranni

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6. ELMGS: Enhancing Memory and Computation Scalability Through coMpression for 3D Gaussian Splatting
   WACV 2025 ·

   Muhammad Salman Ali

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7. Efficient Progressive Image Compression with Variance-Aware Masking
   WACV 2025 ·

   Alberto Presta

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8. FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
   ICCV 2025 ·

   Haicheng Wang

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9. HYGENE: A Diffusion-Based Hypergraph Generation Method
   AAAI 2025 ·

   Dorian Gailhard

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10. LaCoOT: Layer Collapse through Optimal Transport
    ICCV 2025 ·

    Victor Quétu

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11. Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers
    AAAI 2025 ·

    Zhu Liao

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12. WiGNet: Windowed Vision Graph Neural Network
    WACV 2025 ·

    Gabriele Spadaro

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13. Activation Map Compression through Tensor Decomposition for Deep Learning
    NeurIPS 2024 ·

    Le-Trung Nguyen

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14. Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
    ECCV 2024 ·

    Francesco Di Sario

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15. DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
    AAAI 2024 ·

    Victor Quétu

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16. Debiasing Surgeon: Fantastic Weights and How to Find Them
    ECCV 2024 ·

    Rémi Nahon

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17. Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
    AAAI 2024 ·

    Carl De Sousa Trias

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18. Memory-Optimized Once-For-All Network
    ECCV 2024 ·

    Maxime Girard

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19. The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth
    ECML-PKDD 2024 ·

    Victor Quétu

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20. Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning
    BMVC 2024 ·

    Muhammad Salman Ali

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21. Weighted Ensemble Models Are Strong Continual Learners
    ECCV 2024 ·

    Imad Eddine Marouf

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