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Jonathan Lorraine

Training Data Attribution via Approximate Unrolled Differentiation

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May 21, 2024
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LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis

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Mar 22, 2024
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Using Large Language Models for Hyperparameter Optimization

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Dec 07, 2023
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Graph Metanetworks for Processing Diverse Neural Architectures

Dec 07, 2023
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ATT3D: Amortized Text-to-3D Object Synthesis

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Jun 06, 2023
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On Implicit Bias in Overparameterized Bilevel Optimization

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Dec 28, 2022
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Task Selection for AutoML System Evaluation

Aug 26, 2022
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Lyapunov Exponents for Diversity in Differentiable Games

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Dec 24, 2021
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Input Convex Gradient Networks

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Nov 23, 2021
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Meta-Learning to Improve Pre-Training

Nov 02, 2021
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