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    A decoupled diffusion planner that adapts to changing cost limits by using cost-conditioned generation for safety and reward gradients for performance

    Published in ArXiv cs.LG Recent Papers (2026)
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    Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle

    Published in ArXiv cs.LG Recent Papers (2026)
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    U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning

    Published in ArXiv cs.LG Recent Papers (2026)
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    Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors

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    Bolek: A Multimodal Language Model for Molecular Reasoning

    Published in ArXiv cs.LG Recent Papers (2026)
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    Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation

    Published in ArXiv cs.LG Recent Papers (2026)
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    Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs

    Published in ArXiv cs.LG Recent Papers (2026)
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    Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information

    Published in ArXiv cs.LG Recent Papers (2026)
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    ProPACT: A Proactive AI-Driven Adaptive Collaborative Tutor for Pair Programming

    Published in ArXiv cs.LG Recent Papers (2026)
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    Robust and Fast Training via Per-Sample Clipping

    Published in ArXiv cs.LG Recent Papers (2026)
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    Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions

    Published in ArXiv cs.LG Recent Papers (2026)
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    Random-Effects Algorithm for Random Objects in Metric Spaces

    Published in ArXiv cs.LG Recent Papers (2026)
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    ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data

    Published in ArXiv cs.LG Recent Papers (2026)
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    Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling

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    MSMixer: Learned Multi-Scale Temporal Mixing with Complementary Linear Shortcut for Long-Term Time Series Forecasting

    Published in ArXiv cs.LG Recent Papers (2026)
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    Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Construction of Quantum Rank-Metric Codes Using Hermitian Orthogonality

    Published in ArXiv cs.IT Recent Papers (2026)
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    Computability Limits of Sequential Hypothesis Testing

    Published in ArXiv cs.IT Recent Papers (2026)
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    Reduced-Feedback Hybrid Precoding for Wideband mmWave MIMO-OFDM Systems

    Published in ArXiv cs.IT Recent Papers (2026)
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