Shreyas Padhy
9 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird ⚡ Prolific Year · Productive
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(7)
Deep Learning
(6)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core Methods
(4)
Models
(4)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core AI
(1)
Generation
(1)
Keywords
gaussian process
(4)
uncertainty quantification
(4)
generative model
(2)
stochastic gradient descent
(2)
diffusion model
(2)
spectral normalization
(2)
group theory
(1)
hyperparameter optimization
(1)
bayesian computation
(1)
image reconstruction
(1)
conditional generation
(1)
posterior sampling
(1)
data augmentation
(1)
marginal likelihood
(1)
bayesian inference
(1)
bayesian optimization
(1)
conjugate gradient
(1)
optimal transport
(1)
laplace approximation
(1)
model calibration
(1)
Papers
A Generative Model of Symmetry Transformations
NeurIPS 2024
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform
NeurIPS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
NeurIPS 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
ICLR 2024
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
Sampling-based inference for large linear models, with application to linearised Laplace
ICLR 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
NeurIPS 2023
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
NeurIPS 2020