Simone Rossi
8 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(14)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
variational inference
(6)
markov chain monte carlo
(2)
bayesian deep learning
(2)
image generation
(1)
model selection
(1)
approximate inference
(1)
bayesian inference
(1)
deep learning
(1)
sliced wasserstein distance
(1)
posterior distribution
(1)
gaussian process
(1)
posterior estimation
(1)
functional analysis
(1)
generative model
(1)
variational autoencoder
(1)
score-based diffusion model
(1)
latent space
(1)
bayesian neural network
(1)
score-based diffusion
(1)
random matrix
(1)
Papers
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
ECCV 2024
Continuous-Time Functional Diffusion Processes
NeurIPS 2023
On permutation symmetries in Bayesian neural network posteriors: a variational perspective
NeurIPS 2023
All You Need is a Good Functional Prior for Bayesian Deep Learning
JMLR 2022
Model Selection for Bayesian Autoencoders
NeurIPS 2021
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
AISTATS 2021
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
NeurIPS 2020
Good Initializations of Variational Bayes for Deep Models
ICML 2019