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Reproduction: Quantifying Error Propagation and Model Collapse in Diffusion Models
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Reproduction: ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
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Reproduction: A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms
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Reproduction: On Structured State-Space Duality
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Reproduction: Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
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Reproduction: Robust and Consistent Ski Rental with Distributional Advice
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Reproduction: Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
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Reproduction: Perceptrons and Localization of Attention’s Mean-Field Landscape
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Reproduction: Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
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Reproduction: A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
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Reproduction: From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning
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Reproduction: Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
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Reproduction: ICML 2026 reproduction zxJXgfCm63
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Reproduction: ICML 2026 reproduction yE3zbIOW3e
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Reproduction: ICML 2026 reproduction xixoixLXCr
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Reproduction: ICML 2026 reproduction okzQ1x71pS
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Reproduction: ICML 2026 reproduction ljNZyrAlaa
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Reproduction: ICML 2026 reproduction l35QweVxgn
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Reproduction: ICML 2026 reproduction 1JwSFRvC4E
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Reproduction: ICML 2026 reproduction 01caH9oj7C
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Reproduction: Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions
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Reproduction: Allocating Variance to Maximize Expectation
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Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
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Reproduction: On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
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