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Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models
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Hong Seong Pyo
SabaPivot
AI & ML interests
AI Safety
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updated a Space 1 day ago
SabaPivot/repro-a-formal-comparison-between-chain-of-thought-and-latent-thought updated a Space 1 day ago
SabaPivot/repro-facts-in-stats-impacts-of-pretraining-diversity-on-language-model-generalizationOrganizations
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Reproduction: MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
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Reproduction: Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
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Reproduction: Rotary Position Encodings for Graphs
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Reproduction: Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach
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Reproduction: Collapsed Effective Operators for Higher-order Structures
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Reproduction: Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond
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Reproduction: Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
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Reproduction: Magnitude Distance: A Geometric Measure of Dataset Similarity
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Reproduction: Improved Stochastic Optimization of LogSumExp
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Reproduction: Riemannian Dueling Optimization
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Reproduction: The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
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Reproduction: Multivariate Distributional Reinforcement Learning Using Sliced Divergences
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Reproduction: Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
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Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning
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Reproduction: Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
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Reproduction - On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
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Reproduction - Calibrating Decision Robustness via Inverse Conformal Risk Control
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Reproduction - Combinatorial Sparse PCA Beyond the Spiked Identity Model
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Reproduction - Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
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Reproduction - Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
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Reproduction - SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator
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Reproduction - Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
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Reproduction - Skewness-Robust Causal Discovery in Location-Scale Noise Models
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Full released-run audit of six SkewD claims