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  1. Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  2. EPINN: Enhanced Physics-Informed Neural Network for Solving Continuous Integral Equations

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  3. Monitoring Teams of AI Agents

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  4. Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  5. Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  6. Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  7. Finding Minimal Plan Reductions Using Classical Planning

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  8. Regret Analysis for Randomized Gaussian Process Upper Confidence Bound

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  9. Towards an Ontology-Driven Approach to Document Bias

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  10. Prioritised Planning: Completeness, Optimality, and Complexity

    Published in JAIR (2025)
    Subjects: “…Computer Science & IT…”
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  11. Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  12. Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  13. Towards Unified Native Spaces in Kernel Methods

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  14. TorchCP: A Python Library for Conformal Prediction

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  15. Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  16. Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  17. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  18. On the Robustness of Kernel Goodness-of-Fit Tests

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  19. Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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  20. Collaborative likelihood-ratio estimation over graphs

    Published in JMLR (2026)
    Subjects: “…Computer Science & IT…”
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