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  1. Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries

    Published in ArXiv cs.LG Recent Papers (2026)
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  2. Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring

    Published in ArXiv cs.LG Recent Papers (2026)
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  3. NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search

    Published in ArXiv cs.LG Recent Papers (2026)
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  4. Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks

    Published in ArXiv cs.LG Recent Papers (2026)
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  5. Position: agentic AI orchestration should be Bayes-consistent

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  6. Randomized Subspace Nesterov Accelerated Gradient

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  7. PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks

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  8. Temporal Data Requirement for Predicting Unplanned Hospital Readmissions

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  9. EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

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  10. Weisfeiler Lehman Test on Combinatorial Complexes: Generalized Expressive Power of Topological Neural Networks

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  11. Decentralized Proximal Stochastic Gradient Langevin Dynamics

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  12. Aitchison Embeddings for Learning Compositional Graph Representations

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  13. Deep Kernel Learning for Stratifying Glaucoma Trajectories

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  14. FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization

    Published in ArXiv cs.LG Recent Papers (2026)
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  15. Adaptive Querying with AI Persona Priors

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  16. Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number Game

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  17. Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning

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  18. Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability

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  19. Spiking Sequence Machines and Transformers

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

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