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Ferdinando Fioretto

15 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

AAAI ×3ICML ×3NeurIPS ×3AISTATS ×1ECAI ×1ICLR ×1IJCAI ×1NAACL ×1UAI ×1

Frequent coauthors

Jinhao Liang
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Jacob K. Christopher
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Saswat Das
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Michael Cardei
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Joonhyuk Ko
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Vincenzo Di Vito Francesco
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Stefano Zampini
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My H. Dinh
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James Kotary
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Sree Harsha Nelaturu
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Cuong Tran
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Papers

  1. Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
    AAAI 2026 ·
    Jinhao Liang
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  2. Constrained Discrete Diffusion
    NeurIPS 2025 ·
    Michael Cardei
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  3. Differentially Private Graph Data Release: Inefficiencies & Unfairness
    AISTATS 2025 · Ferdinando Fioretto
  4. Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
    AAAI 2025 ·
    Joonhyuk Ko
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  5. Learning to Solve Differential Equation Constrained Optimization Problems
    ICLR 2025 ·
    Vincenzo Di Vito Francesco
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  6. Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
    ICML 2025 ·
    Jinhao Liang
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  7. Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
    NAACL 2025 ·
    Jacob K. Christopher
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  8. Training-Free Constrained Generation With Stable Diffusion Models
    NeurIPS 2025 ·
    Stefano Zampini
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  9. Constrained Synthesis with Projected Diffusion Models
    NeurIPS 2024 ·
    Jacob K. Christopher
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  10. Disparate Impact on Group Accuracy of Linearization for Private Inference
    ICML 2024 ·
    Saswat Das
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  11. End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
    UAI 2024 ·
    My H. Dinh
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  12. Finding ε and δ of Traditional Disclosure Control Systems
    AAAI 2024 ·
    Saswat Das
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  13. Learning Joint Models of Prediction and Optimization
    ECAI 2024 ·
    James Kotary
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  14. On The Fairness Impacts of Hardware Selection in Machine Learning
    ICML 2024 ·
    Sree Harsha Nelaturu
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  15. On the Effects of Fairness to Adversarial Vulnerability
    IJCAI 2024 ·
    Cuong Tran
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