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  1. Documentation and Classification of Heritage Buildings’ Styles through Machine Learning

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  2. Top Linux Distributions for Beginners: Friendly, Stable, and Easy to Learn

    Published in Linux Journal (2025)
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  3. Physics-informed machine learning modelling of hydrokinetic energy harvester

    Published in Discover Energy (2026)
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  4. Fundamental Limits of Membership Inference Attacks on Machine Learning Models

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  5. Machine Learning‐Driven Design of Unfused Small Molecule Acceptors

    Published in Energy Technology (2026)
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  6. Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints

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  7. Exploration Hacking: Can LLMs Learn to Resist RL Training?

    Published in ArXiv cs.LG Recent Papers (2026)
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  8. PhyCo: Learning Controllable Physical Priors for Generative Motion

    Published in ArXiv cs.LG Recent Papers (2026)
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  9. A Unified Framework of Hyperbolic Graph Representation Learning Methods

    Published in ArXiv cs.LG Recent Papers (2026)
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  10. Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

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  11. Heisenberg-limited Hamiltonian learning without short-time control

    Published in ArXiv cs.DS Recent Papers (2026)
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  12. skglm: Improving scikit-learn for Regularized Generalized Linear Models

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  13. Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization

    Published in ArXiv cs.MA Recent Papers (2026)
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  14. HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs

    Published in ArXiv cs.LG Recent Papers (2026)
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  15. Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning

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  16. Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation

    Published in ArXiv cs.LG Recent Papers (2026)
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  17. Actor-Critic learning for mean-field control in continuous time

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  18. Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF

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  19. Score-based Causal Representation Learning: Linear and General Transformations

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  20. Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading

    Published in ArXiv cs.MA Recent Papers (2026)
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