Justin Johnson

RyeCatcher

·

https://www.jandsgroupllc.com

AI & ML interests

Im a builder

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updated a Space 3 days ago

RyeCatcher/repro-quantifying-error-propagation-and-model-collapse-in-diffusion-models

published a Space 3 days ago

RyeCatcher/repro-quantifying-error-propagation-and-model-collapse-in-diffusion-models

updated a Space 3 days ago

RyeCatcher/repro-scalora-optimally-scaled-low-rank-adaptation-for-efficient-high-rank-fine-tuning

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Reproduction: The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks

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Reproduction: Lower Bounds for Frank-Wolfe on Strongly Convex Sets

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Reproduction: On the Computational Complexity of Performative Prediction

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Reproduction: Unifying Low Dimensional Spectra in Deep Learning

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Reproduction: Understanding Behavior Cloning with Action Quantization

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Reproduction: Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator

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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

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Reproduction: Ski Rental with Distributional Predictions of Unknown Quality

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Reproduction: Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings

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Reproduction: Any-dimensional invariant universality

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Reproduction: (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

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Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variation

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Reproduction: Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners

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Reproduction: Improved Stochastic Optimization of LogSumExp

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Reproduction: A Tight Theory of Error Feedback Algorithms in Distributed Optimization

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Reproduction: scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics

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