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Shreyas Padhy

No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers

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Feb 10, 2025
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Iterative Importance Fine-tuning of Diffusion Models

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Feb 06, 2025
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DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised $h$-transform

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Jun 03, 2024
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Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes

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May 28, 2024
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Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes

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May 28, 2024
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A Generative Model of Symmetry Transformations

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Mar 04, 2024
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Stochastic Gradient Descent for Gaussian Processes Done Right

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Oct 31, 2023
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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

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Jun 20, 2023
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Kernel Regression with Infinite-Width Neural Networks on Millions of Examples

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Mar 09, 2023
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Sampling-based inference for large linear models, with application to linearised Laplace

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Oct 10, 2022
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