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    Frontiers to the learning of nonparametric hidden Markov models

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    Latent Process Models for Functional Network Data

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    Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models

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    Deep Generative Models: Complexity, Dimensionality, and Approximation

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    Modeling Subjective Urban Perception with Human Gaze

    Published in ArXiv cs.HC Recent Papers (2026)
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    Uplift Model Evaluation with Ordinal Dominance Graphs

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    Memory-Efficient Continual Learning with CLIP Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Audio-Visual Intelligence in Large Foundation Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    On the Wasserstein Gradient Flow Interpretation of Drifting Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Proximal Projection for Doubly Sparse Regularized Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Gyan: An Explainable Neuro-Symbolic Language Model

    Published in ArXiv cs.ET Recent Papers (2026)
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    Weighted Rules under the Stable Model Semantics

    Published in ArXiv cs.LO Recent Papers (2026)
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    Modeling Decision-Making with Will for Cooperation in Social Dilemmas

    Published in ArXiv cs.GT Recent Papers (2026)
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    Counterfactual Stress Testing for Image Classification Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    SBGM: Score-Based Generative Models in JAX.

    Published in Journal of Open Source Software (2025)
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    The Pebble-Relation Comonad in Finite Model Theory

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    Relational Models for the Lambek Calculus with Intersection and Constants

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    Canonical Models and the Complexity of Modal Team Logic

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    A classical groupoid model for quantum networks

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    Models of Type Theory Based on Moore Paths

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