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Will Grathwohl

A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks

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Sep 03, 2024
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Variance reduction of diffusion model's gradients with Taylor approximation-based control variate

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Aug 22, 2024
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Denoising Diffusion Samplers

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Feb 27, 2023
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Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

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Feb 22, 2023
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Continuous diffusion for categorical data

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Dec 15, 2022
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Self-conditioned Embedding Diffusion for Text Generation

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Nov 08, 2022
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Learning to Navigate Wikipedia by Taking Random Walks

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Oct 31, 2022
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Score-Based Diffusion meets Annealed Importance Sampling

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Aug 17, 2022
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Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data

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Jul 19, 2021
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Oops I Took A Gradient: Scalable Sampling for Discrete Distributions

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Feb 08, 2021
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