Shreyas Padhy
9 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (24) 🧭 Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(11)
🏆
Keyword Champion
⚡
Prolific Year
(5)
Conferences
NIPS (5)
ICLR (3)
JMLR (1)
Top co-authors
Keywords
gaussian process
(3)
uncertainty quantification
(3)
spectral normalization
(2)
generative model
(2)
data augmentation
(1)
image reconstruction
(1)
conditional generation
(1)
posterior sampling
(1)
group theory
(1)
marginal likelihood
(1)
conjugate gradient
(1)
bayesian optimization
(1)
diffusion model
(1)
inverse problem
(1)
generalization capability
(1)
parameter efficient fine-tuning
(1)
out-of-distribution detection
(1)
uncertainty estimation
(1)
bayesian neural network
(1)
linear system solver
(1)
Papers
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
NIPS 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
ICLR 2024
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
NIPS 2024
A Generative Model of Symmetry Transformations
NIPS 2024
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
NIPS 2023
Sampling-based inference for large linear models, with application to linearised Laplace
ICLR 2023
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
NIPS 2020